As Scale's Analytics Engineer, you will spearhead building Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Analytics Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.

You will:

• Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy

• Continually improve ongoing data pipelines and simplify self-service support for business stakeholders

• Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics

Ideally You’d Have:

• 3+ years of relevant work experience in a role requiring application of data modeling and analytic skills

• Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis using SQL and Python

• Experience with ETL tools and building / maintaining a data warehouse and data pipelines using tools such as DBT

• Partner with operations and sales teams to automate manual workflows

• Experience in using highly scalable data engineering technologies such as DBT, Airflow

• Experience in best practices in table partitioning/data sharding strategies and query optimization

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $148,800 – $178,560. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for a senior data analyst to join our Business Analytics team to help advance AI development. As a data analyst, you will partner with leadership and teams from across the business—from finance to operations—to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will directly evolve how Scale operates and measures itself. The ideal candidate is detail oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems.

You will:

• Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights to enable Business and Generative AI Product workflows
• Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create
• Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs
• Tackle business critical questions by developing hypotheses and testing and iterating on interim results
• Partner with Data Engineers, Data Scientists, and Business Stakeholders to develop business metrics to understand our existing financial performance and influence our financial future

Ideally You'd Have:

• 3+ years of industry experience in a highly analytical role
• Degree in a quantitative field (e.g., Maths, Engineering)
• Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
• Working knowledge of Python and associated data libraries
• Proficient knowledge in using and communicating through BI tools like Tableau
• Strong communication and presentation skills to executives
• Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies
  
  

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We are building the Finance team to help make data-driven and financially sound decisions for Scale. The Finance team is responsible for improving strategic, financial, and operational decisions by partnering with the leadership team in making critical decisions across Scale.

The Finance team is responsible for owning the company’s budget, helping to drive quarterly and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. You will have a unique opportunity to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. We hope you'll join us!

You will:

• Serve as the Finance business partner to support the SVP of Operations and other Operations leaders in quarterly and annual strategic and financial planning discussions
  
  
• Engage with the business to manage revenue and COGS forecasts, own weekly and monthly financial reporting, KPIs, presentations, and other critical analysis requests
  
  
• Evaluate investment strategies, facilitate ad-hoc analyses, and own special projects including, but not limited to:
  
  
• Support the launch of new product lines
  
  
• Assess new risks and opportunities for corporate initiatives (e.g. expanding operations into new locations, compensation philosophy, etc.)
  
  
• Drive internal initiatives to improve data infrastructure and reporting
  
  
• Partner closely with the accounting team during the month-end close process to ensure accurate general ledger and company-wide financial statement reporting
  
  
• Collaborate with accounting and engineering to implement an internally developed software process
  
  
• Develop and maintain KPIs to assist with the decision-making that aligns with the company’s objectives
  
  

Ideally, you'd have:

• Minimum of 3 years of financial analysis experience working directly in a Corporate Finance, Strategic Finance, or FP&A role
  
  
• Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
  
  
• Strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills
  
  

Nice to haves:

• 1+ years of investment banking experience
  
  
• A Bachelor’s degree with a major in finance or accounting
  
  
• Experience in SQL and Business Intelligence tools a plus
  
  
• Experience with Anaplan and/or Adaptive Insights a plus
  
  
• Experience supporting EPD organizations is a plus
  
  
• 3+ years of experience in a highly strategic, analytical, and operational role within a rapidly growing company
  
  

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $140,000-$168,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is building out our Public Sector (Federal, State, Local) Finance team. This role will be instrumental in setting strategy, financial plans, and operating rigor as we accelerate the adoption of AI across the Public Sector.

The Finance team is responsible for owning the company’s budget, helping to drive quarterly and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. You will have a unique opportunity to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. We hope you'll join us!

In this role you will have a front row seat to help build our AI business for the Public Sector. We hope you'll join us!

What you’ll be doing:

• Serve as the Finance business partner to support the GTM, Operations and Delivery teams in quarterly, annual strategic and financial planning discussions
• Manage the Public Sector Business Unit’s weekly, monthly operating cadence and operating budget to evaluate investment strategies and provide real-time tracking to the leadership team
• Own and drive end-to-end internal deal crafting from initial modeling through to contract review with sales, legal and other internal stakeholders
• Help incubate, scope, and execute on new initiatives around pricing strategy, deal modeling, proposal creation, and value engineering
• Partner with other finance areas (Accounting and Strategic Finance) to support month-end close, flux review processes, and deliver high-quality financial reporting, close packages, and disclosures to the Finance and Public Sector leadership team
• Track and refine Public Sector Business Unit’s KPIs, performance and partner with the Analytics team to provide reporting to enhance operational insights
• Support the Public Sector leadership team and CFO to shape our sales compensation plans and own the associated operations

What we’re looking for:

• Minimum of 4 years of financial analysis experience working directly in Corporate Finance, FP&A, Strategic Finance, and / or investment banking
• 2+ years of prior Sales Finance experience, including revenue forecasting and deal pricing
• Deep understanding of B2B SaaS businesses, scaling a technology business, and/or experience working in the Public Sector
• Experience improving and streamlining processes, and developing solutions to operational inefficiencies
• Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
• Strong knowledge of Google Suite, MS Office; expert Excel modeling skills and Salesforce

Nice to haves:

• A Bachelor’s degree with a major in Finance and / or Accounting
• Experience in SQL and Business Intelligence tools a plus
• Experience with Anaplan and / or Adaptive Insights a plus
• Investment banking experience a plus

The base salary range for this full-time position in our hub location of Washington DC is $140,000.00 - $168,000.00. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We are building the Business Transformation team to help create and improve processes and systems for Scale. The Business Transformation team is responsible for improving strategic, financial and operational decisions by partnering with the leadership team in making critical decisions across Scale.

The Business Transformation team will play a critical role in ensuring the GTM, Finance, and Accounting teams have the best insights, tools, and processes to run effectively and efficiently. This is our first hire as a Finance Transformation Analyst – you will work closely across finance and accounting and many cross-functional stakeholders to transform our finance capabilities through improved business processes and automation. You will partner with stakeholders to apply critical and strategic thinking, influence decisions, and create solutions that will benefit the whole organization.

You will:

• Act as the primary business partner for Finance and Accounting to drive process improvements within key workflows such as Accounting month-end close, financial reporting, planning, billings, revenue, etc.
• Play a key role in helping reduce the current Accounting month-end close process
• Partner with Finance to continue to translate G Sheet models into our planning system
• Build trusted partnerships with many stakeholders (e.g. GTM, Operations, EPD, People Operations, Legal, etc.) to collaborate, identify risks and establish transparency to mitigate unexpected impacts to the Finance and Accounting teams
• Drive the company’s tooling strategy and execution of critical initiatives (e.g. quote-to-cash, invoicing, and procure-to-pay)
• Create and maintain an inventory of core finance processes, systems, and tools

Ideally you'd have:

• Bachelor’s degree with a major in Information Technology and / or Finance and / or Accounting
• 2+ years of relevant work experience around Finance / Accounting process and systems implementation lifecycles
• Knowledge and experience with financial system applications such as Salesforce / CPQ, NetSuite, Coupa, Anaplan, Anrok, Adaptive Systems, Workday, Tableau, Snowflake
• Experience in process improvement methodologies and leading organizational transformation practices

The base salary range for this full-time position in our hub location of San Francisco is $108,000-$129,600. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for an experienced Finance leader to build and lead our Operations Finance team. This role will be instrumental in setting strategy, financial plans, and operating rigor as we accelerate the adoption of AI.

We are looking for a leader who will be both strategic and tactical in owning and building the finance team and processes. You will be responsible for owning the operating model, helping to drive quarterly and annual planning, managing unit economics, and partnering across the team to make financially sound, data-driven decisions.

This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, legal, marketing, and operations.

In this role, you will have a front-row seat to help build our business. We hope you'll join us!

You will:

• Serve as the Finance business partner to Operations, leading strategic and financial planning discussions
• Manage the Operations operating budget to evaluate investment strategies and provide real-time tracking to the Head of Ops
• Engage with the business to manage headcount and expense forecasts, own weekly and monthly financial reporting, KPIs, presentations, and other critical analysis requests for the leadership team
• Lead, grow, and develop a team of high-performing finance professionals responsible for planning, business partnership, and ad-hoc strategic analysis, such as growth investments, pricing and costing, or investment evaluations
• Partner with other finance and accounting areas to support month-end close, flux review processes, and deliver high-quality financial reporting, close packages, and disclosures
• Own, refine and implement the operating cadence and associated financial systems and tools to track Operations KPIs, and performance
• Drive the roadmap for initiatives including internal billings system, strategic initiatives to enhance growth and de-risk our top-line plan, as well as provide greater insights into the return on marketplace investments
• Act as a strategic thought partner to our Operations leadership team and CFO for long-term decisions around the growth of our marketplace

Ideally, you'd have:

• Minimum of 10 years of financial experience working directly in Corporate Finance, FP&A, Strategic Finance, and/or investment banking
• Deep understanding of B2B SaaS businesses, and/or scaling a technology businesses
• Experience improving and streamlining processes, and developing solutions to operational inefficiencies
• Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
• Strong knowledge of Google Suite, MS Office; expert Excel modeling skills and Salesforce
• Strong executive presence and interpersonal skills; ability to lead discussions with the Executive Team
• Demonstrated ability to lead and grow a high functioning Finance team and deliver quality results as a team leader
• Demonstrated ability to build outstanding and effective relationships with cross-functional teams
• Experience with financial systems (e.g. Anaplan, Adaptive Insights)

Nice to haves:

• A Bachelor’s degree with a major in Finance and/or Accounting
• IPO experience a plus
• Experience in SQL and Business Intelligence tools a plus

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $220,000 - $264,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for an experienced Finance leader to lead our Public Sector (Federal, State, Local) Finance team. This role will be instrumental in setting strategy, financial plans, and operating rigor as we accelerate the adoption of AI across the Public Sector.

We are looking for a leader who will be both strategic and tactical in owning and building the finance team and processes. You will be responsible for owning the business operating model, helping to drive quarterly and annual planning, supporting deal structuring and pricing, and partnering across the team to make financially sound, data driven decisions.

This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, legal, marketing and operations.

In this role you will have a front row seat to help build our AI business for the Public Sector. We hope you'll join us!

You will:

• Serve as the Finance business partner to support the Public Sector Business Unit in quarterly and annual strategic and financial planning discussions
• Manage the Public Sector Business Unit’s operating budget to evaluate investment strategies and provide real-time tracking to the General Manager
• Engage with the business to manage headcount and expense forecasts, own weekly and monthly financial reporting, KPIs, presentations, and other critical analysis requests for the leadership team
• Lead, grow and develop a team of high performing finance professionals responsible for planning, business partnership, and ad-hoc strategic analysis, such as deal desk, pricing, or investment evaluations
• Partner with other finance areas (Accounting and Strategic Finance) to support month-end close, flux review processes, and deliver high-quality financial reporting, close packages, and disclosures
• Own, refine and implement financial systems and tools to track Public Sector Business Unit’s KPIs, performance and provide reporting to enhance operational insights
• Drive the roadmap for future Sales Finance / Ops initiatives including internal billings system, strategic initiatives to enhance growth and de-risk our top-line plan, as well as provide greater sales pipeline visibility
• Own and lead all deal desk activities for the Public Sector Business Unit to optimize for both financial and commercial terms
• Act as a strategic thought partner to our Public Sector leadership team and CFO to shape our sales compensation plans and associated operations

Ideally you'd have:

• Minimum of 12 years of financial analysis experience working directly in Corporate Finance, FP&A, Strategic Finance, and / or investment banking
• Deep understanding of B2B SaaS businesses, scaling a technology business, and/or experience working in the Public Sector
• Experience improving and streamlining processes, and developing solutions to operational inefficiencies
• Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
• Strong knowledge of Google Suite, MS Office; expert Excel modeling skills and Salesforce
• Strong executive presence and interpersonal skills; ability to lead discussions with the Executive Team
• Demonstrated ability to lead and grow a high functioning Finance team and deliver quality results as a team leader
• Demonstrated ability to build outstanding and effective relationships with cross-functional teams
• Experience with financial systems (e.g. Anaplan, Adaptive Insights)

Nice to haves:

• A Bachelor’s degree with a major in Finance and/or Accounting
• IPO experience a plus
• Experience in SQL and Business Intelligence tools a plus
• An active Security Clearance

The base salary range for this full-time position in our hub location of Washington DC is $220,000 – $264,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is seeking a highly motivated Indirect Tax Manager to join our team. This will be the first in-house tax member, so we are looking for someone who is excited to build out a function and the associated processes. The successful candidate will have a proven multi-functional record with broad Global indirect tax technical experience from VAT to sales tax and more in a dynamic, fast pace, high-growth environment. This candidate will partner with members of accounting and other finance functions, as well as a broad range of cross-functional business teams to surface tax issues, solve problems, and recommend solutions while performing key responsibilities.

We are looking for a detailed-oriented and self-motivated team player with a desire to learn and is passionate about delivering quality results.

You will:

• Perform research and provide analysis on a variety of sales and use tax inquiries to optimize Scale’s products and minimize tax risk
• Partner with cross-functional groups within the company to understand the tax impact of business operations and ensure tax needs are identified, considered, and communicated
• Implement a sales tax tool, and ensure proper classification of our products within this tool including ensuring all new products are accurately characterized and implemented within Scale’s sales tax tool
• Develop indirect tax operational processes, focusing on controls, automation, efficiency, and analytics
• Adapt to changing priorities and tight deadlines, analyze and solve problems, work independently with proven ability to motivate, and influence others
• Assist with reconciliation and support the preparation of monthly/quarterly/annual sales/use tax returns as well as manage the related audits and communications.
• Manage new changes in applicable sales/use/gross receipts tax laws and understand how they impact the current business.
• Oversee and prepare San Francisco Annual Business Tax return.
• Provide VAT/GST advisory

Ideally you’d have:

• Proven experience in indirect tax technical background with a detailed understanding of the application of sales tax principles to technology / Ai products
• Demonstrated experience in cultivating cross-functional relationships and communicating complicated tax technical matters to all levels and business functions
• Proven project management and organizational skills with the experience to prioritize multiple competing tasks in a dynamic environment
• A mentality that balances individual ownership and accountability with collaboration and partnership
• Excellent problem-solving skills and high level of attention to detail
• Possess strong knowledge of performing tax research and providing technical advice on complex sales/use tax/VAT/GST topics at the country, state and local level.
• Bachelor and/or Masters degree in a relevant field, including Accounting and/or Tax or equivalent experience with a minimum of 10 overall years of public and private related tax experience required (Big 4 experience is preferred).
• Excellent verbal and written communication skills and ability to communicate to senior leadership.

Nice to haves:

• 8-10 years of indirect tax experience
• CPA, JD, or LLM in Taxation
• Combined Big4 or law firm and technology industry experience
• Broad indirect tax background, and property tax experience is a plus
• Experience with improving, automating, and implementing tax processes and workflows
• Self-motivated with an entrepreneurial spirit
• Proficient in G-suite
• Experience in the technology sector.
• Must be a motived self-starter and a quick learner to be successful in a fast-paced high growth environment.

The base salary range for this full-time position in San Francisco is $144,000.00 - $172,800.00 Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We are building the Business Transformation team to help create and improve processes and systems for Scale. The Business Transformation team is responsible for improving strategic, financial and operational decisions by partnering with the leadership team in making critical decisions across Scale.

The Business Transformation team will play a critical role in ensuring the GTM, Finance, and Accounting teams have the best insights, tools, and processes to run effectively and efficiently. This is our first Integration Architect hire on the Business Transformation team – you will work closely across GTM, finance, accounting, people operations, and many cross-functional stakeholders to transform our existing capabilities through improved business processes and automations. This role will be directly responsible for building out automations and integrations between our applications using best practices to scale. You will partner with stakeholders to apply critical and strategic thinking, influence decisions and create solutions that will benefit the whole organization.

You will:

• Establish processes that will govern how the Business Transformation team approaches integrations and automation solutions
• Partner with leaders across IT, Analytics, Data Engineering, Sales Operations, Accounting, Finance to develop and establish an automation mindset focused on long-term scale
• Build trusted partnerships with many stakeholders (e.g. GTM, Operations, EPD, People Operations, Legal, etc.) to collaborate, identify risks and establish transparency to mitigate unexpected impacts to the Business Transformation team
• Partner with cross-functional teams to establish and maintain an automation roadmap for all internal applications and own the execution of that roadmap
• Drive the company’s automation strategy and execution of critical integrations (e.g. quote-to-cash, invoicing, and procure-to-pay)
• Document and maintain an inventory of automations, integrations, and data architecture design
• Own the end-to-end process for all automations which includes: requirements gathering, solution design, build, test and validation, and deployment

Ideally you'd have:

• Bachelor’s degree with a major in Information Technology, Computer Science, or related field
• 5+ years of relevant work experience around automating GTM, Finance, and Accounting processes and systems implementation
• Have in-depth experience building integrations/automations with an iPaaS such as Workato, Mulesoft, Boomi, etc
• Knowledge and experience with applications such as Salesforce / CPQ, NetSuite, Coupa, Anaplan, Adaptive Insights, Anrok, Workday, Tableau, Snowflake
• Experience in process improvement methodologies and leading organizational transformation practices
• An agile mindset that will iterate through blockers and build foundational architecture for future scale

The base salary range for this full-time position in our hub location of San Francisco, is $140,000-$168,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for a strategic dealmaker to be an early member of our business development team and grow our partnership ecosystem. This role will be instrumental in building key relationships with partners who are excited to partner with Scale to accelerate the development of AI applications.

We are looking for a team member who will be both strategic and tactical in owning and building this area of our business. You will be responsible for sourcing, evaluating and executing partnerships that span go-to-market, technology, and other strategic areas.

This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, finance, legal, marketing and operations.

You will:

• Shape and deliver the existing strategic vision for Scale and product roadmap, for high-value partnerships
• Demonstrate strong quantitative skills by building financial models that unlock the best ROI for your partnerships. Track, analyze, and communicate key performance metrics to internal and external stakeholders
• Identify and develop new areas, of an existing partnership, leading to new and incremental revenue streams
• Grow new revenues by identifying key stakeholders to build relationships and credibility within our existing and new partners
• Evaluate strategic partnerships and initiate opportunities by performing a range of quantitative and qualitative analyses
• Lead strategic and complex negotiations to completion, engaging cross-functional teams and ensuring alignment across teams on deal terms
• Drive post-contract accountability by managing implementation and ensuring cross-functional alignment and execution. Interface and serve as a point of contact for external counterparts and beyond up to C-level executives
• You will be measured by your ability to (1) drive revenue (2) influence product roadmap for new revenue streams and (3) evolve our partnership ecosystem.

Ideally you’d have

• 5+ years of experience in business development, strategic partnerships, partner management, or similar roles at a technology company or payments company
• Bachelor's Degree required
• Proven track record of driving high-value go-to-market and tech partnerships
• Ability to think strategically and analytically about business opportunities, identifying opportunities for Scale to leverage partners’ existing and in-development products
• Strong sense of responsibility, entrepreneurial drive, and an ability to inspire
• Proactive and comfortable with some ambiguity
• Strong knowledge of business, strategy, product, finance, and legal concepts to inform complex, multi-faceted deals
• Demonstrated success in a highly matrixed organization, working cross functionally, leading priorities and exercising influence
• Analytical mindset and track record of using data to inform strategy
• Excellent verbal and written communications skills

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $140,000 – $168,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is at the forefront of enabling Artificial Intelligence across multiple industries, including self driving cars, eCommerce, natural language processing, and more. As a Manager in the Revenue Operations team, you will be responsible for ensuring that Scale has clear and steady tracking of customer revenue across a rapidly growing list of products and accounts. The Revenue Operations team acts as an important connective tissue between Operations, Go-to-Market, Analytics, and Finance to ensure that all closed deals are implemented correctly in Scale’s systems and that the right tools and processes are developed to continually track and improve Scale’s revenue performance. RLHF (reinforced learning with human feedback) is one of the fastest-growing areas in AI development and in Scale and we have a need for help ensuring revenue for this area is correctly tracked and billed.

An ideal candidate will be comfortable handling complexity in a fast-paced environment and interested in building out new sustainable internal processes. This is the perfect opportunity for a self-starter who is interested in expanding their analytical and operational toolkit within the context of Artificial Intelligence.

This role reports to the Manager of Revenue Operations and will have responsibilities across:

• Oversee and ensure the accurate tracking of worked hours and billing across all of our RLHF customers
• Manage 1-2 members of the team who are responsible for supporting all of RLHF billing and revenue operations
• Implement new process controls and systematic solutions to revenue tracking for this new area of the business. Have ownership of the revenue numbers that get reported to Accounting and billed to the customer.
• Utilize strong analytical and SQL skills to investigate root cause revenue discrepancies, propose solutions, and collaborate with relevant teams to implement corrective actions
• Contribute to the development of more automated and scalable revenue tracking solutions. Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency.

You'd ideally have (but relevant experience can take different forms):

• 5-7 years of professional experience in an analytical role, top-tier consulting firm, or finance
• An undergraduate and/or graduate degree with an analytics heavy major (e.g., STEM, economics, computer science, etc.)
• Comfort working in ambiguity in a fast-paced work environment
• Excellent communication skills in English, both written and verbal, with the ability to present complex concepts and insights to stakeholders at various levels
• Strong quantitative skills and the willingness to dig into data. Comfort with SQL.
• The ability to think from first principles and iterate quickly to deliver results

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is seeking a highly motivated Senior Accountant to join our growing accounting team and assist in preparing day to day corporate accounting operations, supporting the month end close process, and helping to implement systems and processes that will support Scale as we continue to grow. You’ll have the opportunity to work in a dynamic, fast and high-growth environment.

The ideal candidate thrives in a high-growth start-up, is detail-oriented, and has excellent interpersonal and communication skills. Additionally, the candidate has demonstrated the ability to build scalable cross-functional relationships through systems and process implementation. We hope you will join our team!

You will:

• Prepare journal entries and day to day corporate accounting activities, support the month end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant
• Build or enhance balance sheet account reconciliation workpaper including reviewing and performing some clean-up of historical reconciliations and related balances
• Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package
• Prepare documents supporting internal and external audits and ensure the successful completion of those audits
• Manage FloQast, our month end close and reconciliation management tool
• Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions to support the growth of the Company
• Identify and drive process improvements to gain efficiencies and reduce close timeline
• Develop, maintain and improve internal controls which relate to assigned areas

Ideally you'd have:

• Bachelor’s degree in Accounting; CPA or equivalent required
• 3+ years of relevant accounting experience; Combination of public accounting (Big 4 strongly preferred) and industry experience (start-up through to becoming a public Company experience a plus)
• Strong knowledge of U.S. GAAP and SOX
• Experience with general ledger functions and the month end/year end close process is strongly preferred
• Experience with financial audit preparation is strongly preferred
• Proven proficiency of Microsoft Office Suite (Word, PowerPoint, etc); must be highly proficient in Excel
• Excellent writing, oral communication, analytical, organizational, and interpersonal skills with a high attention to detail
• Excellent problem solving skills; project management experience a plus, ability to work in a fast pace environment

Nice to Haves:

• Direct accounting experience for any/all of the following areas: accruals, investment, internally use software, ASC 842 leases, cloud computing arrangement, stock-based compensation and/or consolidation and Fx.
• Proficiency in SQL, NetSuite, FloQast, Coupa and Jira considered a plus

The base salary range for this full-time position in our hub location of San Francisco is $92,000-$110,400. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is seeking a highly motivated Technical/Revenue Accounting Manager to join our growing accounting team to work in this dynamic, fast pace and high growth environment. This individual will ensure revenue is booked correctly and in a timely manner. In addition to the monthly book close process, this individual will also review contracts, both during the negotiation stage and after the contract is signed. Aside from their revenue responsibilities, they will also be exposed to new accounting standards and advanced accounting research topics on complex transactions that will allow for continued learning and development of your skills.

We are looking for a detailed-oriented and self-motivated team player with a desire to learn and is passionate about delivering quality results.

You will:

• Assist in monthly accounting close activities including journal entry preparation and review and key account reconciliations
• Ensure the company is compliant with accounting principles under ASC 606
• Review standard and non-standard contracts to determine the appropriate revenue recognition under U.S. GAAP
• Collaborate within Accounting and Finance on revenue metrics, flux analysis, forecast, and projections
• Identify and implement process improvements. We strive to maintain pace with our growth and keep an eye on scalability in everything we do
• Analyze and operationalize complex transactions in accordance with U.S. GAAP, including those related to revenue, business combinations, stock-based compensation, cost to fulfill, commissions
• Collaborate cross-functionally with various internal stakeholders throughout the organization (e.g. develop internally developed software policy with the Engineering team, analyze commissions plans with the Sales Ops and Strategy team) and external auditors
• Monitor, assess and implement new accounting pronouncements applicable to the company
• Prepare consolidated financial statements and related footnotes for our first year audit
• Assist in drafting and maintaining the accounting policy library

Ideally you’d have:

• Bachelor’s degree in Accounting, CPA a plus
• 5+ years of progressive experience in public accounting (or a combination of public accounting and private industry experience); Big 4 experience preferred
• Strong analytical and research skills with the ability to convert technical research and interpretation into a practical solution
• Ability to prioritize tasks and problem solve in a fast environment
• Desire to work in a team environment and able to work across different business units
• Self-starter with an interest in learning
• Excellent problem solving skills and high level of attention to detail

US citizenship is a requirement due to US government security clearance

Nice to haves:

• Experience working in a high growth startup and public company environments
• Great with Excel/ Google Sheets

The base salary range for this full-time position in San Francisco is $118,800 - $142,560. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for an AI Infrastructure Engineer to join our Machine Learning Infrastructure team to build out our Training Platform. You will partner closely with Machine Learning researchers to understand their requirements and apply your own domain expertise and our compute resources to accelerate experimentation throughput.

The ideal candidate is someone who has strong fundamentals in machine learning, backend system design, and has prior ML Infrastructure experience. They should also be comfortable with infrastructure and large scale system design, as well as diagnosing both model performance and system failures.

You will:

• Build highly available, observable, performant, and cost-effective APIs for model training.
• Participate in our team’s on call process to ensure the availability of our services.
• Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.
• Exercise good taste in building systems and tools and know when to make build vs. buy tradeoffs, with an eye for cost efficiency.

Ideally you'd have:

• 2+ years of experience building machine learning training pipelines or inference services in a production setting.
• Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
• Experience building, deploying, and monitoring complex microservice architectures.
• Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform).

Nice to haves:

• Experience with LLM inference latency optimization techniques, e.g. kernel fusion, quantization, dynamic batching, etc.
• Experience working with a cloud technology stack (eg. AWS or GCP)

The base salary range for this full-time position in San Francisco is $179,200 - 215,040. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space!

The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies.

You will be:

• Build and mature database foundations for Scale, leveraging industry-standard platforms.
• Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
• Mentor other engineers and become deeply involved in architectural design and database best-practices.
• Improve our high engineering standards, tooling, and process.
• Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs.
• Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale.
• Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability.

This role could be a fit if you have:

• 5+ years of industry experience as a database engineer post graduation.
• Engineering experience with building real-time and distributed system architecture.
• Experience designing and running databases on industry standard public cloud platforms.
• Deep familiarity with design, architecture, optimization, and tuning database platforms such as MongoDB, Postgres, MySQL, Redis.
• Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication
• Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand).
• Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads.

Nice to haves:

• Prior startup experience to help us grow responsibly.
• Experience with AWS, TiDB, Datadog, ElasticSearch
• Experience with cloud-based data warehouse solutions like Snowflake or Databricks.
• Experience with cost optimization strategies and techniques for database platforms.
• Experience developing and designing intermediary data abstraction layers.
• Mentored and grown members of your team or been a tech lead on large projects.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

We’re looking for an amazing Engineering Managers to join our team. In this role, you will lead the design and development of our Generative AI Data Engine, ensuring its scalability, efficiency, and robustness. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Lead, mentor, and manage a team of AI engineers, providing guidance and support to help them achieve their professional goals.

Foster a collaborative and innovative team culture, encouraging knowledge sharing and cross-functional collaboration.

You will:

• Manage a team of highly effective engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to build out products and platform to achieve customer’s research goals .
• Scale and grow a highly collaborative and effective team, along side our business growth
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation
• 3+ year of prior engineering management or equivalent experience, has managed eng team of 8 to 15
• Have extensive experience in software development and deep understanding of AI, Machine Learning, and Data Science
• Experience scaling products at hyper-growth startups
• Excitement to work with AI technologies
• Show a track record of mentoring and leading teams in successful projects
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders

Nice to haves:

• Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems along side the team
• Have experience with AI platforms and technologies, including generative models and LLMs

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

We’re looking for an amazing Engineering Managers to join our team. In this role, you will lead the design and development of our Generative AI Data Engine, ensuring its scalability, efficiency, and robustness. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Lead, mentor, and manage a team of AI engineers, providing guidance and support to help them achieve their professional goals.

Foster a collaborative and innovative team culture, encouraging knowledge sharing and cross-functional collaboration.

You will:

• Manage a team of highly effective engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to build out products and platform to achieve customer’s research goals .
• Scale and grow a highly collaborative and effective team, along side our business growth
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.

Must be able to commute to the San Francisco Office 1-2x weekly.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation
• 3+ year of prior engineering management or equivalent experience, has managed eng team of 8 to 15
• Have extensive experience in software development and deep understanding of AI, Machine Learning, and Data Science.
• Experience scaling products at hyper-growth startups
• Excitement to work with AI technologies
• Show a track record of mentoring and leading teams in successful projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Nice to haves:

• Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems along side the team.
• Have experience with AI platforms and technologies, including generative models and LLMs.

The base salary range for this full-time position in our hub locations of San Francisco or NYC is $212,000 - $255,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is seeking a highly skilled and motivated Full Stack Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance.

You will:

• Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.

Ideally you'll have:

• An active TS/SCI security clearance. This is a requirement and candidates will not be considered who do not hold this level of clearance.
• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
  
  

The base salary range for this full-time position in our hub location of Washington, DC is $179,200 - $215,040. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for an experienced Federal EPD lead to drive the development of innovative new products within our federal space. You will work cross-functionally with engineering, design, sales, marketing, customer success, and operations to take products from pain point to fully-deployed solution, and coordinate with company leadership on roadmap strategy & priorities. You will be responsible for driving roadmap definition, and execution; using both qualitative customer & Scaler feedback and quantitative metrics & KPI's to guide decisions and measure success.

The ideal candidate is someone who can hands-on lead the federal EPD team to solve customer pain points through creating federal specific products and using our commercial product development. They should create a team culture of amplifying Scale and create strong advocates within the peer teams. They should have experience leading a high performance engineering team; identifying what the company needs and with achieving outcomes which combine to push the company forward. They should have deep familiarity with the federal world and be able to clearly articulate gaps and a product strategy to fill them.

Day to day:

• 40% technical execution/coordination, resolution of execution issues
• 20% strategic product planning
• 20% technical product planning, design, and coding
• 20% Managing of IC’s within the team

Role:

• Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint
• Converting customer conversations into actionable product strategy
• High quality execution. Responsible for accelerating velocity for our federal org
• Technically impressive, breaks down product strategy and customer asks into correct technical building blocks, mentors the team’s technical output and calls BS.
• Working with the cross functional roles (BDM/EPM/Supply/Ops)
• Unblocking and pushing the team to hit deadlines
• Comfortable with navigating hard-to-follow (or non-existent) processes and comfortable identifying processes which aren't working and changing them
• Uses data for decision making
• Growing the team/setting up for success
• Adept at navigating different contacts to help provide clarity in priorities and execution scope
• Fosters a collaborative, ambitious, and outcome-driven culture that embodies our values.
• Partner with our People team to attract and engage top talent
• Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members

  Requirements:

  • DC or SF based and able to be in person.
  • TS Clearance minimum, ideally TS/SCI
  • 5+ years track record in engineering management and leadership positions
  • Track record of product development in the federal environment. Candidates should be able to cite products in production that they developed and rolled out.
  • Deep familiarity with the federal space and ideally, prior military or USG service.
  • Experience building products with some AI/ML components

The base salary range for this full-time position in our hub locations of San Francisco, New York, Seattle and DC is $249,600.00 - $312,000.00. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is seeking a highly skilled and motivated Infrastructure Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance.

You will:

• Design and implement secure scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components
• Improve our high engineering standards, tooling, and process
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.

Ideally you'd have:

• An active TS/SCI security clearance. This is a requirement and candidates will not be considered who do not hold this level of clearance
• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-grapped & isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is required. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
• Must be able to support work 2-3 days a week at client sites within the St. Louis, MO or DC Metro area.

The base salary range for this full-time position in Washington, DC is $153,600 - $184,320. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Performant model code, high quality data, and robust evaluation methods form the foundation of an AI system. Scale’s leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. Scale’s Generative AI team focuses on building models to accelerate AI adoption for some of the largest companies in the world.

Your focus will be on developing Models as a Service using a variety of Machine Learning techniques. You will be involved end-to-end from coordinating with operations to create high quality datasets to productionizing models for our customers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!

You will:

• Apply state of the art models, developed both internally and from the community, in production to solve problems for our customers and data labelers.
• Work with product and research teams to identify opportunities for ongoing and upcoming services.
• Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.

Ideally you’d have:

• At least 3 to 5 years of model training, deployment and maintenance experience in a production environment.
• Strong skills in NLP, LLM and deep learning.
• Solid background in algorithms, data structures, and object-oriented programming.
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Nice to haves:

• Experience in dealing with large scale AI problems, ideally in the generative-AI field.
• Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
• Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kuberflow, TensorFlow, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $176,000 - $240,960. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are computer vision (2D/3D detection, 2D/3D segmentation, object tracking), meta-learning (e.g. semi-supervised learning, active learning), and Natural Language Processing. You’ll be working on a combination of deeply technical ML applications in production and cutting edge research problems. Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.

We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. Our machine learning models form the basis for Scale’s expansion and future product strategy. We currently complete billions of tasks a month, and will continue to grow to support more complex use cases and more advanced ML powered products.

Example Projects:

• Research and develop machine learning solutions to assist humans in the loop.
• Aid in the creation of high quality ground truth data with speed and accuracy.
• Work with public Large Language models to benchmark and make custom versions for internal use cases.
• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.
• Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics.
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Work with massive datasets to develop both generic models as well as fine tune models for specific products.

Required to have:

• Currently enrolled in a PhD or MS Program with a focus on Machine Learning, Deep Learning, Computer Vision with a graduation date in Fall 2024 or Spring 2025
• Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
• Ability to speak and write in English fluently

Ideally you’d have:

• Have had a previous internship around Machine Learning, Deep Learning, or Computer Vision
• Experience as a researcher, including internships, full-time, or at a lab
• Publications in top-tier journals such as NeurIPS, ICLR, CVPR, AAAI, etc. or contributions to open source projects

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are computer vision (2D/3D detection, 2D/3D segmentation, object tracking), meta-learning (e.g. semi-supervised learning, active learning), and Natural Language Processing. You’ll be working on a combination of deeply technical ML applications in production and cutting edge research problems. Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.

We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. Our machine learning models form the basis for Scale’s expansion and future product strategy. We currently complete billions of tasks a month, and will continue to grow to support more complex use cases and more advanced ML powered products.

Example Projects:

• Research and develop machine learning solutions to assist humans in the loop.
• Develop systems that improve the creation of high quality ground truth data with speed and accuracy.
• Work with public Large Language models to benchmark and make custom versions for internal use cases.
• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.
• Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics.
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Work with massive datasets to develop both generic models as well as fine tune models for specific products.

Required to have:

• Graduating Fall of 2023 or Spring of 2024 from a PhD or MS Program with a focus on Machine Learning, Deep Learning, AI, Natural Language Processing, or Computer Vision
• Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
• Ability to speak and write in English fluently

Ideally you’d have:

• Have had a previous internship around Machine Learning, Deep Learning, or Computer Vision
• Experience as a researcher, including internships, full-time, or at a lab
• Publications in top-tier journals such as NeurIPS, ICLR, CVPR, AAAI, etc. or contributions to open source projects

The base salary range for this full-time position in San Francisco is $144,000 - $172,800. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.

We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.

You will:

• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

• Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics

• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines

• Work with massive datasets to develop both generic models as well as fine tune models for specific products

• Build the scalable ML platform to automate our ML service

• Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization

• Be able, and willing, to multi-task and learn new technologies quickly

Ideally You’d Have:

• US citizenship and US Government Security Clearance is a requirement (TS/SCI preferred)

• Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment

• Solid background in algorithms, data structures, and object-oriented programming

• Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch

Nice to Haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization

• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment

• Experience with generative AI models

The base salary range for this full-time position in our hub location of Washington DC, is $200,800 - $240,960. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale's Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF/RLAIF, data generation, model evaluation, safety, and alignment.

As the Manager of the Generative AI team, you will be responsible for managing and leading a group of talented researchers and engineers. Your primary focus will be to leverage your expertise in LLMs, generative models, and other foundational models to create and execute an AI roadmap which will help Scale accelerate our customers' Generative AI initiatives forward. This is an exciting opportunity to work on cutting-edge technologies and collaborate with industry-leading professionals.

We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month and will grow to complete billions monthly.

You will:

• Manage a team of highly effective researchers and engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects. Develop and evaluate methods for integrating machine learning into human-in-the-loop labeling systems to ensure high-quality and throughput labels for our customers.
• Implement and improve on state-of-the-art models developed internally and from the community and put them into production to solve problems for our customers and taskers.
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Work with massive datasets to develop both generic models as well as fine-tune models for specific products.
• Work with customers and 3rd party research groups to understand their goals and define how we can enable them.
• Build a scalable ML platform to automate our ML services, including automated model retraining and evaluation.
• Be able and willing to multi-task and learn new technologies quickly.
• Must be able to commute to the San Francisco Office 1-2x weekly.

Ideally you'd have:

• 7+ years of full time work experience using LLM, deep learning, deep reinforcement learning, or natural language processing in a production environment. Especially training foundational AI models through pre-training, fine-tuning, and RLHF.
• A vision for where the field should go and what Scale should do to enable it.
• Strong programming skills in Python, experience in PyTorch or Tensorflow
• Experience with MLOps and the automation of model training & evaluation
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Solid background in algorithms, data structures, and object-oriented programming
• Deep appreciation for building high-quality, robust, reusable machine-learning software
• Degree in computer science or related field

Nice to haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
• Publication experience in the field or related topics.
• Experience with model optimization techniques for both training and inference

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $176,000 - $250,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is seeking a Product Designer (University/New Grad) to become an integral part of our Product Design Team. In this role, you will collaborate closely with product managers and engineers as well as other members of our cross-functional team, working collaboratively to enhance and create cutting-edge products and tools that drive the advancement of AI technology.

The ideal candidate possesses a track record of designing B2B enterprise products on desktop platforms and possesses a strong foundation in product thinking, interaction design, and visual design. Additionally, any background in AI, machine learning, data visualization, internal tools, and usability is a bonus but not required.

You Will...

- Design features and small products for a specific product or product area under the supervision of a senior designer..

- Gather feedback from cross-functional team members, iterate on designs, and effectively communicate your solutions.

- Navigate through ambiguous and complex projects to achieve strategic alignment while balancing user needs and business goals.

- Collaborate closely with product managers, engineers, and other stakeholders to ensure proper implementation of your solutions.

- Present your design concepts and decisions to both technical and non-technical stakeholders effectively.

Ideally you have...

- (Required) A graduation date in Fall 2023 or Spring 2024 with at least a Bachelor’s degree (or equivalent) in a relevant field

- 1-2 years of experience in product design, including internships and significant projects.

- A portfolio website or presentation showcasing 1-2 projects that have been shipped to real users, demonstrating your impact on the user experience.

- Proficiency in Figma, product thinking, interaction design, and visual design.

- Ability to execute and iterate on design concepts, while maintaining a high level of quality.

- Excellent communication and collaboration skills, enabling you to work effectively with cross-functional teams.

- Experience adapting the design process based on project constraints and evolving requirements.

Nice to haves...

- Strong project management and prioritization skills.

- Experience designing B2B enterprise products, particularly on desktop interfaces such as dashboards and internal tools.

- Expertise in the digital transformation of legacy products, understanding the challenges and opportunities in modernizing them.

- General domain knowledge of AI and machine learning, allowing you to design user interfaces for AI-powered applications.

- An understanding of front-end development technologies, which can enhance collaboration with developers and facilitate smoother design implementation.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for a Security Engineer to work on our Security Operations team. You will be responsible for developing and maintaining strong monitoring, detections, and incident response systems at Scale to keep our employees and infrastructure protected against threats. Ideal candidates have been involved in security efforts in early-stage companies in the past or have extensive experience in a security detection role. You will have a broad mandate and will be expected to drive change and be an evangelist of security throughout the company. Your core responsibilities will be around enabling, improving, and monitoring our security detection capabilities, from identifying visibility gaps to improving existing pipelines. You’ll be hands on for incident response, investigations, and forensics and a leader within our Security Operations lifecycle.

You will:

• Propose, design, build, and deploy improvements across all aspects of Scale’s detection and response pipeline.
• Build and monitor integrations between security solutions and ensure the completeness and accuracy of ingested data.
• Identify opportunities for implementing additional technology controls to build more visibility or defend key points of attack.
• Work with our internal colleagues, advisors, third party vendors, and auditors on security reviews, reports, and compliance projects.
• Collaborate with software and production engineering teams to develop scalable and flexible Incident Response and Investigative solutions.
• Focus on ruthlessly prioritizing, automating and scaling every aspect of our detection and response capabilities

Ideally you'd have:

• 4+ years of experience in a similar role
• Expert understanding of system, network, infrastructure and security concepts.
• Experience securing SaaS, PaaS, and IaaS cloud environments.
• Experience responding to both external and insider threats.
• Experience analyzing network and host-based security events.
• Knowledge of networking technologies, specifically TCP/IP and the related protocols.
• Knowledge of operating systems, file systems, and memory structures on Windows, MacOS and Linux.
• Experience with attacker tactics, techniques, and procedures.
• Familiar with Javascript, Node, Python, Linux, and AWS — or comparable technologies — and are able to think through the security implications of systems built using them.
• Expert level of knowledge of network security monitoring (NSM) techniques.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $153,600 - $184,320. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is seeking a highly skilled and motivated Infrastructure Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance.

You will:

• Design and implement secure scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components
• Improve our high engineering standards, tooling, and process
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.

Ideally you'd have:

• An active TS/SCI security clearance. This is a requirement and candidates will not be considered who do not hold this level of clearance
• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-grapped & isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is required. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
• Must be able to support work 2-3 days a week at client sites within the St. Louis, MO or DC Metro area.

The base salary range for this full-time position in Washington, DC is $179,200 - 215,040. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is looking for an experienced and highly skilled Product Designer for the AV-CV (Autonomous Vehicles / Computer Vision) team. As the lead designer for the team, you will be responsible for building the infrastructure for labeling Lidar, Mapping, and Camera data. If seeing autonomous vehicles excited you, you’ll be seeing a lot of that on the AV-CV team. The team builds the tools for labeling Lidar pointclouds, annotating image and video feeds, and linking them together to build perception models.

Working collaboratively with cross-functional teams, you will lead the end-to-end design process from ideation to launch, ensuring that all designs meet the highest quality standards and are delivered on time. You will create user flows, wireframes, prototypes, and high-fidelity mockups that effectively communicate design concepts and solutions to stakeholders, while also conducting usability testing and iterating on designs based on user feedback and data-driven insights.

This is an exciting opportunity to join a talented and passionate team, working on cutting-edge technology projects in the AI, machine learning, and language model space. If you have a strong portfolio showcasing B2B enterprise-level web designs, and experience and can handle large scoped projects with a high degree of ambiguity, we encourage you to apply.

You will:

• Lead the end-to-end design process for multiple concurrent projects, from ideation to launch, ensuring all products meet the highest quality standards as the sole designer for this business unit.
• Create user flows, wireframes, prototypes, and high-fidelity mockups that effectively communicate design concepts and solutions to stakeholders.
• Partner with the department head to create a compelling product vision for the business unit and establish good design practices and relationships with stakeholders.
• Collaborate closely with cross-functional teams, including product management, engineering, and operations, to understand business and user needs and translate them into product designs.
• Conduct user research and usability testing to gather feedback and insights that inform design decisions and iterate on designs accordingly.
• Adapt and maintain a branch of our existing design system that can be applied across multiple Federal projects to ensure consistency and scalability.

Ideally you’d have:

• Exceptional interaction design, visual design, and product thinking skills with a strong portfolio showcasing enterprise-level web and mobile designs.
• High level of proficiency in Figma, including the ability to use design systems and autolayout to ensure consistency and scalability.
• Ability to make calculated trade-offs and execute designs quickly without compromising quality.
• Excellent communication and presentation skills, with the ability to articulate design decisions to influence stakeholders and work collaboratively with cross-functional teams, including Product Engineers, Software Engineers, and SMEs as the sole designer
• Extensive experience designing complex B2B web applications.
• Strong prototyping skills and experience conducting user research and usability testing to gather feedback and insights that inform design decisions.
• General problem solving and ability to work through ambiguous situations

Nice to haves:

• Basic understanding of machine learning, AI, and language models.
• At least 5 years of professional experience in product design or a related field (preferred but not required for candidates with strong portfolios).
• Prior experience working with 3D data

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $164,800 - $197,760. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is looking for an experienced and highly skilled Product Designer for the Generative AI team. As a designer on the team, you will be involved end-to-end from coordinating with operations to create high quality datasets to productionizing models for our customers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!

Working collaboratively with cross-functional teams, you will lead the end-to-end design process from ideation to launch, ensuring that all designs meet the highest quality standards and are delivered on time. You will create user flows, wireframes, prototypes, and high-fidelity mockups that effectively communicate design concepts and solutions to stakeholders, while also conducting usability testing and iterating on designs based on user feedback and data-driven insights. This is an exciting opportunity to join a talented and passionate team, working on cutting-edge technology projects in the AI, machine learning, and language model space.

You will:

• Lead the end-to-end design process for multiple concurrent projects, from ideation to launch, ensuring all products meet the highest quality standards as the sole designer for this business unit.
• Create user flows, wireframes, prototypes, and high-fidelity mockups that effectively communicate design concepts and solutions to stakeholders.
• Partner with the department head to create a compelling product vision for the business unit and establish good design practices and relationships with stakeholders.
• Collaborate closely with cross-functional teams, including product management, engineering, and operations, to understand business and user needs and translate them into product designs.
• Conduct user research and usability testing to gather feedback and insights that inform design decisions and iterate on designs accordingly.
• Adapt and maintain a branch of our existing design system that can be applied across multiple Federal projects to ensure consistency and scalability.

Ideally you’d have:

• Exceptional interaction design, visual design, and product thinking skills with a strong portfolio showcasing enterprise-level web and mobile designs.
• High level of proficiency in Figma, including the ability to use design systems and autolayout to ensure consistency and scalability.
• Ability to make calculated trade-offs and execute designs quickly without compromising quality.
• Excellent communication and presentation skills, with the ability to articulate design decisions to influence stakeholders and work collaboratively with cross-functional teams, including Product Engineers, Software Engineers, and SMEs as the sole designer
• Extensive experience designing complex B2B web applications.
• Strong prototyping skills and experience conducting user research and usability testing to gather feedback and insights that inform design decisions.
• General problem solving and ability to work through ambiguous situations

Nice to haves:

• Basic understanding of machine learning, AI, and language models.
• At least 3 years of professional experience in product design or a related field (preferred but not required for candidates with strong portfolios).

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $140,800.00 - $168,960.00. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is looking for an experienced and highly skilled Product Designer to lead the design efforts for our Public Sector Business Unit. As the founding designer for the team, you will be responsible for designing multiple concurrent projects for the U.S government. This is an impactful and high-visibility role where you will have the opportunity to influence everything from new product vision to owning the product design workstream for an entire business unit.

Working collaboratively with cross-functional teams, you will lead the end-to-end design process from ideation to launch, ensuring that all designs meet the highest quality standards and are delivered on time. You will create user flows, wireframes, prototypes, and high-fidelity mockups that effectively communicate design concepts and solutions to stakeholders, while also conducting usability testing and iterating on designs based on user feedback and data-driven insights.

This is an exciting opportunity to join a talented and passionate team, working on cutting-edge technology projects in the AI, machine learning, and language model space. If you have a strong portfolio showcasing B2B enterprise-level web designs, and experience and can handle large scoped projects with a high degree of ambiguity, we encourage you to apply.

Responsibilities:

• Lead the end-to-end design process for multiple concurrent projects, from ideation to launch, ensuring all products meet the highest quality standards as the sole designer for this business unit.
• Create user flows, wireframes, prototypes, and high-fidelity mockups that effectively communicate design concepts and solutions to stakeholders.
• Partner with the department head to create a compelling product vision for the business unit and establish good design practices and relationships with stakeholders.
• Collaborate closely with cross-functional teams, including product management, engineering, and operations, to understand business and user needs and translate them into product designs.
• Conduct user research and usability testing to gather feedback and insights that inform design decisions and iterate on designs accordingly.
• Adapt and maintain a branch of our existing design system that can be applied across multiple Federal projects to ensure consistency and scalability.

Requirements and qualifications:

• Must be a U.S. citizen, U.S. security clearance is preferred.
• Exceptional interaction design, visual design, and product thinking skills with a strong portfolio showcasing enterprise-level web and mobile designs.
• High level of proficiency in Figma, including the ability to use design systems and autolayout to ensure consistency and scalability.
• Ability to make calculated trade-offs and execute designs quickly without compromising quality.
• Excellent communication and presentation skills, with the ability to articulate design decisions to influence stakeholders and work collaboratively with cross-functional teams, including Product Engineers, Software Engineers, and SMEs.
• Extensive experience designing complex B2B and enterprise desktop web applications for government clients.
• Strong prototyping skills and experience conducting user research and usability testing to gather feedback and insights that inform design decisions.

Nice to haves:

• Experience designing for dark mode web applications.
• Experience designing with geospatial data and creating complex data visualizations.
• Basic understanding of machine learning, AI, and language models.
• Experience designing chatbots.
• Experience with defense tech and working with government and military clients.
• At least 5 years of professional experience in product design or a related field (preferred but not required for candidates with strong portfolios).

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $164,800 - $197,760. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space!

In this role, you will be an integral member of the founding engineering teams as part of our expansion into Budapest. You'll be given the opportunity to own critical parts of various products to meaningfully drive millions of dollars in revenue. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes.

**Please note: Location requirement in Budapest, Hungary**

You’re excited about solving customer problems, and you pick the technologies and tactics that balance speed, function, and long-term robustness. The ideal person would do the following:

• Own large new areas within our product and platform
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

You have:

• Ideally you have:
  • 2+ years of full-time engineering experience, post-graduation
  • Proficiencies in one or more of Python, Typescript, Node, React, Next.js and MongoDB or similar technologies
  • Experience scaling products at hyper growth startups
  • Proficient Business English speaking abilities

• Nice-to-have:
  • Experiences in Docker, Kubernetes

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

At Scale AI, we help companies to build better ML models faster. We are building tools across the AI development lifecycle, to help companies get the data they need and iterate on their models, whether it's for self-driving vehicles, generative AI, or robotics. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Stability AI, Toyota, Meta, and many more major players in this space!

The Berlin team is part of the Autonomous Vehicles & Computer Vision sector of Scale, which builds the tools for curating, managing and labeling Lidar point clouds, image data and video feeds, and linking them together to build better perception models

In this role, you will be an integral member of our engineering team as part of our expansion within Germany. You'll be given the opportunity to own critical parts of the products to meaningfully drive millions of dollars in revenue. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution to an outcome. You’re excited about solving customer problems, and you pick the technologies and tactics that balance speed, function, and long-term robustness.

You will:

• Own large new areas within our product
• Work across the backend androntend stacks
• You like to interact with product users
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Ideally you'd have:

• 3+ years of full-time engineering experience, post-graduation
• Proficiencies in one or more of Python, Node, React
• Proficiencies with one or more DB technologies like PostgreSQL, Elasticsearch or MongoDB
• Experience scaling products at hyper growth startups
• Experience at other API technology companies

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We are actively seeking a specialized Software Engineer to join our dynamic team. The ideal candidate should have a strong understanding and hands-on experience with React, as our main tool is built using this framework.

Ideally you'd have:

• Mastery of React: Our primary tool is entirely built on React. As such, profound knowledge and experience with this framework are essential.
• English Communication: The applicant must possess a proficient level of English, ensuring efficient communication with other teams and collaborators.
• Backend Knowledge: Proficiency with Node.js, MongoDB, and microservices-related concepts is crucial to guarantee a seamless workflow between the frontend and backend.
• Linear Algebra: Given the nature of our projects, a solid understanding of both basic and advanced linear algebra is vital.

Nice to haves:

• Zustand and Three.js/WebGL: While not mandatory, familiarity with Zustand, and Three.js or WebGL is appreciated. Such skills will add valuable insights to our team, enhancing the solutions we can offer.
• 3D Modelling Tools: Experience or knowledge in 3D modeling tools will be considered a bonus for your application.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

We’re looking for entrepreneurial Software Engineers to join our team. In this role, you'll be given the opportunity to build any of these products to meaningfully drive millions of dollars in revenue. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. This tweet by Greg Brockman summarizes it well:

https://twitter.com/gdb/status/1514291063233474560

You’re excited about solving customer problems, and you pick the technologies and tactics that balance speed, function, and long-term robustness.

You will:

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and/or other ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Collaborating with cross-functional teams to define, design, and ship new product features and experiences.
  

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation
• Proficiencies in one or more of Python, Node, React, Next.js and MongoDB
• Solid background in algorithms, data structures, and object-oriented programming.
• Experience scaling products at hyper-growth startups
• Excitement to work with AI technologies
• Strong written and verbal communication skills
• Strong problem-solving skills, and be able to work independently or as part of a team.

Nice to haves:

• Strong knowledge of software engineering best practices.
• Have experience with AI platforms and technologies, including generative models and LLMs.
• Experience building ML infrastructure and AI-powered solutions.

The base salary range for this full-time position in our hub locations of San Francisco is $153,000 - $215,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is looking for a Staff AI Infrastructure Engineer to join our Machine Learning Infrastructure team to build out our Training Platform. You will partner closely with Machine Learning researchers to understand their requirements and apply your own domain expertise and our compute resources to accelerate experimentation throughput.

The ideal candidate is someone who has strong fundamentals in machine learning, backend system design, and has prior ML Infrastructure experience. They should also be comfortable with infrastructure and large scale system design, as well as diagnosing both model performance and system failures.

You will:

• Build highly available, observable, performant, and cost-effective APIs for model training.
• Participate in our team’s on call process to ensure the availability of our services.
• Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.
• Exercise good taste in building systems and tools and know when to make build vs. buy tradeoffs, with an eye for cost efficiency.
• Provide mentorship and guidance to junior engineers, fostering their professional growth and development within the team.

Ideally you'd have:

• 5+ years of experience building machine learning training pipelines or inference services in a production setting.
• Experience leading teams to accomplish shared goals.
• Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
• Experience building, deploying, and monitoring complex microservice architectures.
• Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform).
• Experience working with a cloud technology stack (eg. AWS or GCP).

Nice to haves:

• Experience with LLM inference latency optimization techniques, e.g. kernel fusion, quantization, dynamic batching, etc.

The base salary range for this full-time position in San Francisco is $212,000 - $255,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale’s Foundational ML team conducts research on new foundational capabilities, with the goal of innovating models and algorithms that unlock net-new capabilities for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s Generative AI team focused on building models to accelerate and optimize AI adoption for some of the largest companies in the world.

At Scale, our research is driven by product needs. Your focus will be on developing new foundational models, algorithms, and forms of supervision for Generative AI. You will lead writing, publishing, and adoption of your work internally with applied teams. You will be involved end-to-end from the inception and planning of new research agendas. You'll be creating high quality datasets, implementing models and associated training and evaluation stacks, producing high caliber publications in the form of peer-reviewed journal articles, blogs, white papers, and internal presentations & documentation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

• Evaluate, adapt, and develop new state of the art language and/or multimodal foundation models
• Work with applied ML and product teams to identify opportunities for service improvement or new capabilities
• Explore approaches that integrate human feedback and assisted evaluation into existing product lines
• Work closely with internal customers to prototype, build, and integrate your models into production service

Ideally you’d have:

• A track record of high-caliber publications in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, CVPR, AAAI etc.)
• At least 3 to 5 years of model training, deployment and maintenance experience in a production environment.
• Strong skills in NLP, LLMs and deep learning.
• Solid background in algorithms, data structures, and object-oriented programming.
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
• Strong high-level programming skills (e.g., Python), frameworks and tools such as Pytorch lightning, kuberflow, TensorFlow, transformers, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment and to broadcast your work efficiently and with splash

Nice to haves:

• Experience in dealing with large scale AI problems, ideally in the generative-AI field.
• Demonstrated expertise in large language models for diverse real-world, production applications, e.g. question-answering, generation, classification, etc.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $240,000-$280,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

At Scale, we are driving the future of AI and Machine Learning across a variety of industries. As the Staff Program Manager for Security and Compliance, you will play a pivotal role in the continued success of Scale. Your role will be instrumental in ensuring the effective operation of our Security and Compliance departments, allowing us to maintain the highest standards in our industry.

Reporting directly to the Head of Security, you will be the primary Program Manager working across all teams within the Security and Compliance departments, including Product Security, Security Operations, Infrastructure Security, and Compliance. You will also support both our Commercial and Public Sector business, ensuring that our security and compliance measures meet the specific needs of these different sectors.

You Will:

• Lead strategic planning initiatives for the Security and Compliance departments, setting goals and identifying key performance indicators.
• Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success.
• Track resourcing for the Security and Compliance departments, including vendor management.
• Create an effective feedback loop between all teams within the Security and Compliance departments, as well as with partner teams like Legal, HR, Engineering, etc.
• Build, maintain, and regularly communicate detailed reporting to inform strategic decisions across the company.
• Ensure that Scale's security and compliance practices align with industry standards and regulations.

Ideally, You’d have:

• Significant experience in security and compliance in a role that required cross-departmental collaboration.
• Familiarity with various security compliance frameworks, both auditing and implementing, such as SOC 2, ISO 27001, and NIST 800-53.
• Experience leading day-to-day activities and improving processes.
• An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes.
• Strong analytical skills, with experience using data analysis tools or software.
• Experience in project management, including planning, organizing, and managing resources.
• Experience in contract review, with the ability to work closely with Legal on contract work.

Nice to haves:

• Experience applying AI or Machine Learning.
• Experience in a high growth technology company.
• Current or past Security Clearance.
• Experience with SQL and/or another database language: understanding and hands-on experience with SQL and/or another database language, with the ability to handle, analyze, and interpret large datasets.
• Experience securing AWS-based Cloud environments.
• Previous work as a security consultant.

Note this role must be based within the continental United States and requires current US Citizenship to support Scale’s Public Sector business.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $212,800 - $230,400. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We're on the lookout for a Software Engineer with unique strengths and experiences. Here's what an ideal candidate might look like:

1. Technical Expertise: You're deeply technical, possibly with experience in areas like 3D technology or computer vision. Familiarity with web development concepts, particularly canvas rendering, is a definitive plus. You feel at home working on intricate implementations and experimenting with advanced algorithms.
2. Team Collaboration: You excel in a team setting, seamlessly integrating and driving cooperation between different units. Your combination of technical knowledge and interpersonal skills makes you a valuable asset in collaborative projects.

We appreciate diverse experiences and backgrounds, so if you resonate with elements from both profiles or lie somewhere in between, you might be the perfect fit!

Ideally you'd have:

• +5 years of software engineering experience.
• Mastery in technologies like Python, Node.js, and React.
• Fluency in English, both written and spoken.
• A history of steering tech projects from conception to triumphant execution.

Nice to haves:

• Stellar communication combined with sharp analytical thinking.
• Familiarity with tools like threejs, advanced 3D concepts, or GPU programming is a definite advantage.

Ready to become a pivotal part of AI's exciting journey? Learn more about us and if our goals resonate, let's talk!

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale Spellbook is a developer platform for prompt engineering, evaluation, deployment, knowledge retrieval and more. We are looking for a strong product engineer to join our team and help us scale and grow our product. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Responsibilities:

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Qualifications:

• 5+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, CV, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and Sql database

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $212,800-$258,121. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale is seeking an experienced Account Executive to lead growth and impact from Scales products. Scale is an AI infrastructure platform that empowers machine learning developers and organizations to build the world’s most ambitious AI solutions. As part of the leadership team in GTM, you will oversee a customer segment, drive pipeline, and close deals within this customer segment.

You will:

• Own Scale’s execution for driving impact through customer growth and success. In this highly visible role, you will own business plans and drive impact from one of our highest growth segments within Scale.
• Forecast opportunities, drive accountability cross functionally, and most importantly CLOSE DEALS!
• Work in ambiguity. You are going to be working on selling products very early in development, iterating on those sales models, and closing marquee customers for our new products.
• Focus on developer / API technologies and consumption based technology. At Scale, customer relationships are dependent on technical performance.
• Work cross functionally with Executive Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success.
• Demonstrate strong consultative relationships with external partners and internal cross-functional teams at all levels.
• Create, develop, and communicate executive level materials.
• Quantify business needs and develop metrics.

Ideally, you’d have:

• Experience selling to OEMs and Tier 1 Suppliers is a MUST.
• Expertise in selling to digital first companies and can use and adopt technologies to build a better world. Experience defining requirements and building strategies to effectively scale revenue through early product development, and leading teams focused on impact as well as revenue.
• +4 years of Solution Sales experience and a track record of personally selling and closing complex solutions to enterprise and software companies in the deal size of $XM or $XXM.
• Experience selling both to a business and technical audience.
• Demonstrated success by achieving quota on a consistent basis.
• Ability to drive the sales process from internal leads to qualifying new prospects and managing deals to closure.
• Passion for what you do and you are able to think outside of the box.
• Strong sales process skills, you are not afraid of entering details into Salesforce or building dashboards for yourself to manage your work
  

This position can be located remote in the E.U. with a preference on Germany, or in Asia, with a preference on Japan or Korea. No matter where you are based, you will experience a company that believes in small teams for maximum impact; seeks well-rounded talent to ensure a full perspective on our customers’ experience, understands that this is a marathon, not a sprint; that continuously and purposefully builds an inclusive culture that empowers everyone to do their best work and be the best version of themselves.

Languages: German (native language speaker) & English.

Sales Commission: This role is eligible to earn commissions.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale plays a vital role in the development of AI. Our customer base is growing exponentially, and you will be on the front lines: ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

Our Solutions Engineers ensure customers' first experiences with Scale's technology is flawless and leads to a successful long-term partnership. Solutions Engineers partner closely with AEs to lead prospective customers through pre-sales pilots with the goal of getting to a “Product Yes” on the Scale product, providing input to Scale's final proposal, and developing a post-sales on-boarding plan. Solutions Engineers are experts on Scale's product and have general technical knowledge on web development and infrastructure. Solutions Engineers are strong relationship builders, great project managers and always fun to work with.

You will:

• Partner with Scale AEs to deliver customer pilots according to requirements agreed by the customer
• Develop technical domain expertise in areas of 3D Point Clouds, 2D Image Annotation, and natural language use-cases
• Be accountable for the customer experience during the pilot and closing phase of new logos
• Design, develop and maintain playbooks, demos and other tools for executing successful, efficient pilots
• Evangelize Scale and interact with customers at major events
• Work with AEs and PMs to identify customer specific feature requests

You have:

• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Prior experience developing with Python, Java and / or other web development languages
• Prior experience working with clients in a pre or post-sales capacity to realize business goals
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Ability to travel 10-20% of the time in a “post-COVID” environment
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Hands-on Experience in AI, Computer Vision, or NLP
• Previous experience as a technical go-to-market resource

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

Our Solutions Engineers ensure customers' first experiences with Scale's technology is flawless and leads to a successful long-term partnership. Solutions Engineers partner closely with AEs to lead prospective customers through pre-sales pilots with the goal of getting to “Product Yes” on the Scale product, providing input to Scale's final proposal, and developing a post-sales on-boarding plan. Solutions Engineers are relentlessly curious about customer needs and pain-points, and employ their expert Scale product knowledge and general technical knowledge on web development and infrastructure to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers and always fun to work with.

You will:

• Partner with Scale AEs on the customer journey, delivering tailored demos and customer pilots according to requirements agreed with the customer
• Develop technical domain expertise in: 3D Point Clouds, 2D Image Annotation, and the Autonomous vehicle/ADAS development pipeline
• Be accountable for the customer experience during the pilot and closing phase of new logos
• Interact with customers on a day-to-day basis to understand their needs and design solutions to better serve these needs,
• Design, develop and maintain playbooks, demos and other tools for executing successful, efficient pilots
• Evangelize Scale and interact with customers at major events
• Work with AEs and PMs to identify customer-specific feature requests

You have:

• Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python, Java and / or other web development languages
• Experience with or knowledge of automotive technologies, particularly those with machine learning / perception use-cases
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Ability to travel 10-20% of the time in a “post-COVID” environment
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Hands-on Experience in AI, Computer Vision, or NLP
• Previous experience as a technical go-to-market resource

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

The Technical Account Manager role is responsible for the delivery of a large book of business with a key strategic account and/or Product Area within a named account.

This unique and senior role requires the combined skill set of three roles:

• Firstly, the TAM must have a strong technical background and understanding of the broader AI space, generative AI and ideally, large language models. This background will serve highly relevant as one of the core functions of this role is that of a generative AI business architect, meaning, you will be responsible for designing, analyzing, and implementing next-generation AI technologies and systems within an organization.
• Secondly, as a project manager, the TAM must be capable at juggling multiple, urgent priorities across a variety of workflows. The TAM will be the “glue” between account stakeholders and Scale’s internal product, engineering, delivery, growth and GTM teams. They will be accountable for ensuring all POC, pilot, and production activities are followed-through in a timely manner and meets or exceeds any client or SLA expectations. Such activities may include: aligning internal and external stakeholders on measurable KPIs in line with customer expectations, designing and delivering tasks/solutions, timely and successful ramp of pipelines, ensuring high quality and consistent performance, client reporting and communications, and more.
• Lastly, and most importantly: Be customer-obsessed. This role will be the “face” of Scale for most post-sale activities. They will need to be empathetic, a good listener and communicator, a thoughtful speaker, a polished presenter, a meticulous recorder and a strong relationship developer. Our accounts continue to work with us because of the high quality we deliver, our thought partnership and the fact that they genuinely like working with our teams.

You will:

• Run this account as if it is your business: You will need to be both strategic and in the weeds of day-to-day performance to communicate effectively with stakeholders of all levels. You will ensure longevity of partnership with the account.
• Oversee onboarding and implementation of new work pipelines as well as manage for high performance and consistency across established pipelines.
• Plan, drive, and manage revenue consumption for the account.
• Work cross functionally, with product, engineering, delivery, and growth to ensure timely delivery that meets or exceeds SLA requirements.
• Operationalize requirements set forth in the SOW (and other relevant legal or engagement documents), provide a clear understanding of the SLA requirements and client expectations and enforce them.
• Review, track and improve operational performance and be obsessed with continuous improvement across all processes
• Deeply understand the AI strategy, goals, and needs of the account.
• Identify opportunities for AI-driven improvements, optimizations or innovations to drive the best solutions for the account.
• Design AI solutions and systems that align with business goals and objectives.
• Oversee the implementation and integration of AI technologies within the account.
• Ensure that AI systems are scalable, maintainable and secure.
• Evaluate the performance and impact of AI solutions on the business.
• Build deep relationships with stakeholders at all levels and across all roles, both internally and externally.
• Be obsessed with account happiness and own all client success activities.
• Have a global mindset. You will work across multiple time zones, cultures, and with people from a wide variety of backgrounds
• Dependent upon your account, ~10% domestic and/or international travel expected

You will have:

• A technical degree or strong career experience in technical roles
• Experience as a Founder / Co-Founder or have had experience working in management or strategy consulting
• Have worked at or heavily with Big Tech
• Three to five years Project management experience
• Experience in a customer success or client-facing role

Sales Commission:

• Additionally, this role is eligible to earn commissions and eligible to participate in Scale's equity plan.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

The Technical Account Manager role is responsible for the delivery of a large book of business with a key strategic account and/or Product Area within a named account.

This unique and senior role requires the combined skill set of three roles:

• Firstly, the TAM must have a strong technical background and understanding of the broader AI space, generative AI and ideally, large language models. This background will serve highly relevant as one of the core functions of this role is that of a generative AI business architect, meaning, you will be responsible for designing, analyzing, and implementing next-generation AI technologies and systems within an organization.
• Secondly, as a project manager, the TAM must be capable at juggling multiple, urgent priorities across a variety of workflows. The TAM will be the “glue” between account stakeholders and Scale’s internal product, engineering, delivery, growth and GTM teams. They will be accountable for ensuring all POC, pilot, and production activities are followed-through in a timely manner and meets or exceeds any client or SLA expectations. Such activities may include: aligning internal and external stakeholders on measurable KPIs in line with customer expectations, designing and delivering tasks/solutions, timely and successful ramp of pipelines, ensuring high quality and consistent performance, client reporting and communications, and more.
• Lastly, and most importantly: Be customer-obsessed. This role will be the “face” of Scale for most post-sale activities. They will need to be empathetic, a good listener and communicator, a thoughtful speaker, a polished presenter, a meticulous recorder and a strong relationship developer. Our accounts continue to work with us because of the high quality we deliver, our thought partnership and the fact that they genuinely like working with our teams.

You will:

• Run this account as if it is your business: You will need to be both strategic and in the weeds of day-to-day performance to communicate effectively with stakeholders of all levels. You will ensure longevity of partnership with the account.
• Oversee onboarding and implementation of new work pipelines as well as manage for high performance and consistency across established pipelines.
• Plan, drive, and manage revenue consumption for the account.
• Work cross functionally, with product, engineering, delivery, and growth to ensure timely delivery that meets or exceeds SLA requirements.
• Operationalize requirements set forth in the SOW (and other relevant legal or engagement documents), provide a clear understanding of the SLA requirements and client expectations and enforce them.
• Review, track and improve operational performance and be obsessed with continuous improvement across all processes
• Deeply understand the AI strategy, goals, and needs of the account.
• Identify opportunities for AI-driven improvements, optimizations or innovations to drive the best solutions for the account.
• Design AI solutions and systems that align with business goals and objectives.
• Oversee the implementation and integration of AI technologies within the account.
• Ensure that AI systems are scalable, maintainable and secure.
• Evaluate the performance and impact of AI solutions on the business.
• Build deep relationships with stakeholders at all levels and across all roles, both internally and externally.
• Be obsessed with account happiness and own all client success activities.
• Have a global mindset. You will work across multiple time zones, cultures, and with people from a wide variety of backgrounds
• Dependent upon your account, ~10% domestic and/or international travel expected

You will have:

• A technical degree or strong career experience in technical roles
• Experience as a Founder / Co-Founder or have had experience working in management or strategy consulting
• Have worked at or heavily with Big Tech
• Three to five years Project management experience
• Experience in a customer success or client-facing role

Sales Commission:

• Additionally, this role is eligible to earn commissions and eligible to participate in Scale's equity plan.

This position is available in a U.S.-based Scale hub office (examples: San Francisco, New York). No matter where you are based, you will experience a company that believes in small teams for maximum impact; seeks well-rounded talent to ensure a full perspective on our customers’ experience, understands that this is a marathon, not a sprint; that continuously and purposefully builds an inclusive culture that empowers everyone to do their best work and be the best version of themselves.

The base salary range for this full-time position in our hub locations of San Francisco & New York is $153,600 - $184,320. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is looking for a highly motivated IT systems engineer who is excited by the opportunity to be part of a fast-paced environment that pushes you to learn while doing. You will join a creative, fast-moving, solutions-oriented team responsible for architecting, engineering, and implementing a variety of automation-related projects to identity and access management, endpoint management, and more. In this role, you will be working alongside fellow engineers to improve internal processes and build scalable automated solutions through platforms such as Okta Workflows, GCP, and AWS Lambda. The ideal candidate is someone with a strong knowledge of IAM best practices, prior experience with SaaS administration, and a drive to make people happy while creating simple and repeatable solutions for all!

You Will:

• Assist with the administration of our tech stack with platforms such as Okta, Google Workspace, Opal, Slack, Jamf, Jira, and many more
• Provide escalated assistance to the IT Services and Support team
• Share the user lifecycle administration and hardware deployment cycle for your region
• Create and update technology documentation for internal IT teams and Scale employees
• Plan and coordinate the AV buildout and network infrastructure for the Budapest office
• Tightly integrate our existing cloud infrastructure with a focus on securing identity and improving access control by leveraging Opal for least privileged access
• Have a constant drive to improve the experience of our users and our internal processes (i.e., "How can I make things better?")
• Develop automation using various tools to remove manual tasks and automate IT support processes related to end-to-end employee lifecycle

Ideally You Have:

• 5+ years of IT systems, infrastructure, and/or engineering experience
• Experience with integrating with SaaS APIs and SDKs
• Experience with leveraging Okta or similar identity management systems for authentication and provisioning methods such as SAML, OIDC, and SCIM
• Scripting experience with Python, Powershell, and/or bash
• Experience working with remote teams, multiple offices, and different time zones
• A positive attitude, and excitement for building new processes and policies for a rapidly growing organization
• Excellent organizational and communication skills

Nice to Haves:

• IT Security and Compliance focused mindset
• Experience with infrastructure as code tools (Git, Terraform, YAML, etc.)

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Scale AI is looking for a highly-motivated and seasoned people manager to lead our global IT support team. The IT team is a highly functional team that drives long-term infrastructure and access management projects to build a collaborative environment aimed to accelerate employee productivity. The team works directly with stakeholders across every department in the organization to help ensure that new and existing Scaliens receive the best end-user experience.

We are looking for someone with a proven track record of leading a technical and multi-functional IT team. You will be responsible for building a best-in-class team, providing mentorship and ultimately owning the full IT support experience. You will help build, drive and execute on the team’s roadmap, manage performance expectations, SLA deliverables, provide leadership with accurate reporting and serve as an escalation point for the team. In this position you will have the opportunity to mold and shape the IT support systems that will serve as the bedrock for the company's growth over the coming years.

This role will be based in our San Francisco HQ and will require you to be in-office.

At Scale You Will:

• Create a collaborative and supportive environment for the support team, serving as a leader not only by mentorship but also by rolling up your sleeves and supporting the team as necessary
• Proactively identity and address inefficiencies and bottlenecks within the employee lifecycle (e.g. onboarding, offboarding, access requests)
• Own the AV experience across our various hubs involving conference room equipment management, large-scale AV events such as All Hands and more
• Partner closely with key stakeholders across the business to understand their needs and work towards common goals and initiatives
• Own hardware procurement pipelines to handle global hiring expansions into new regions
• Create and maintain dashboards showing relevant metrics (CSAT, SLAs, response / resolution time) to serve as a baseline for employee performance and overall IT operational health

Ideally You Have:

• 5+ years of managing a team of IT professionals with a wide variety of responsibilities
• 3+ years of direct IT support experience
• Advanced knowledge on Okta, Google Workspace, Jira, Zoom, Intune, Jamf and no / low-code solutions
• Experience working with remote teams, multiple offices, and different time zones
• Excellent communication skills to partner with both technical and non-technical stakeholders on a global level
• In-depth knowledge and hands-on experience supporting onsite IT infrastructure, Zoom rooms and managing SaaS applications through an IDP

Nice to Haves:

• IT Security and Compliance focused mindset
• Experience building out extensive Okta workflows functions
• Experience working with and managing vendors and or contractor workforces

Experience working with and managing vendors and or contractor workforces

The base salary range for this full-time position in our hub location of San Francisco is $120,000 – $144,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

We are seeking a highly skilled Marketing Operations Manager to join our team. The ideal candidate will have a deep understanding of marketing automation and be experienced in working with Hubspot, Salesforce, Zoominfo, and Outreach. As the Marketing Operations Manager, you will be responsible for managing all marketing automation systems, ensuring the smooth running of our marketing campaigns, and identifying opportunities for growth.

You will:

• Manage and maintain our marketing automation systems, including Hubspot, Salesforce, Zoominfo, and Outreach.
• Implement and optimize marketing campaigns using marketing automation tools.
• Analyze marketing data to identify opportunities for growth and improvement.
• Develop and maintain dashboards and reports to track marketing performance.
• Collaborate with the marketing team to plan and execute campaigns.
• Build and maintain a lead scoring model to improve lead quality.
• Manage the integration between our marketing automation systems and other tools, including our CRM and sales tools.
• Develop and implement best practices for data management and hygiene.
• Monitor and report on the effectiveness of our marketing campaigns.
• Identify areas for improvement in our marketing automation processes and systems.

Ideally you'd have:

• Bachelor's degree in marketing, business administration, or a related field.
• 5+ years of experience in marketing operations or a related field.
• Experience working with marketing automation tools, including Hubspot, Salesforce, Zoominfo, and Outreach.
• Excellent analytical skills and experience working with marketing data.
• Strong project management skills.
• Excellent communication and interpersonal skills.
• Strong attention to detail and ability to manage multiple projects simultaneously.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $126,400 - $151,680. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

You will:

• Build and drive some of our most critical operational processes: the delivery of SLAs and revenue consumption for our customers
• Build and oversee levers with a relentless focus on SLA achievement and quality improvement
• Review, track and improve operational performances and be obsessed with continuous improvement
• Own day-to-day delivery, from weekly planning to executing operational and quarterly business reviews
• Oversee on-boarding and successful implementation for new accounts
• Manage the long-term health of the customer base by identifying and preempting areas of risk or concernPartner with clients to understand operational issues and advocate for their fixes with Scale engineers
• Strategically identify ways we can make customer success repeatable and solve issues for future customers
• Work directly with customer's engineering teams, answering questions and addressing issues with use of our API
• Create an effective feedback loop between the front line, product, strategy, and customers
• Collaborate with stakeholders to improve processes for new and existing customers

Ideally you'd have:

• 3-5 years of total work experience, with experience in consulting or as a technical program management role in industry
• Business Analyst / Senior Associate Consultant role at a Big 3 Consulting Firm
• A technical background (education or professional experience with CS, Economics, Statistics, Engineering)
• A proven track record in B2B client facing roles and expanding client relationships
• Ability to understand the Scale API and build great relationships with technical customers
• Great cross-functional experience and collaborative ability
• Excellent verbal and written communications
• A track record of structured, analytics-driven problem solving
• A history of diligence and organization across multiple work streams
• An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
• Analytical, planning, and process improvement capability

Nice to haves:

• Prior experience at an API technology company and / or managing technical customers using an API
• Experience with reading SQL and/or another database language

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.