How You’ll Contribute:

As a Machine Learning Engineering Manager, you will work with the VP, Engineering and ML Product Manager to build and lead a team that elevates our state-of-the-art Deep Learning text-to-speech, content moderation and related machine learning models. Your primary responsibility will be to lead a team of engineers and data scientists in the development and deployment of machine learning models and systems that help us achieve our strategic goals.

In your day-today, you'll work on:

• Leading the Machine Learning Team: You will be responsible for leading a team of ML Platform engineers, data engineers and data scientists, setting goals, providing career guidance, preparing performance reviews, managing their day-to-day work, and ensuring they have the necessary resources and support to complete their tasks.
• Machine learning strategy and roadmap: You will be responsible for working with the CTO and Staff-level ML Engineer and TTS Product Manager to execute the Deep Learning TTS strategy for your team, working closely with stakeholders to understand their needs and priorities and ensuring that your team is working on the right projects.
• Providing Technical expertise: Using your understanding of TTS machine learning techniques and technologies, as well as experience working with large data sets and cloud computing platforms, you will guide the team by setting direction and removing roadblocks.
• Project management: You will be responsible for managing multiple machine learning projects simultaneously, leading backlog grooming and sprint planning, and generally ensuring that deliverables are met on time and within budget.
• Collaboration: You will need to work closely with other departments within your organization, including product management, the broader engineering team, and the TTS Product Manager to ensure that your team is aligned with the broader goals of the organization.
• Communication: You will need to communicate technical concepts and progress updates to non-technical stakeholders, including executives and business leaders.
• Hiring: You will be responsible for hiring and recruiting top talent for your team, ensuring that they have the necessary skills and experience to contribute to your organization's success.

What We’re Looking For

To thrive in this role, you have a deep understanding of machine learning concepts and techniques, data science experience building clean data sets, strong technical and software development skills, excellent communication and collaboration skills, demonstrated management experience, and a strategic mindset.

Ideally, you also have some combination of the following:

• A bachelor's or master's degree in computer science, machine learning, data science, mathematics, or a related field is usually required.
• 5+ years of experience in designing and implementing machine learning models and systems.
• 2+ years of experience in managing a team of engineers and/or data scientists where you set goals, provided performance feedback, and mentored the team toward career growth.
• You have excellent communication and collaboration skills to work effectively with cross-functional teams, including data engineers, product managers, and other stakeholders.
• You have a strategic mindset and be able to identify opportunities to leverage machine learning to help achieve business objectives. You are able to develop and implement a machine learning strategy that aligns with the overall business strategy.
• You have experience working with large data sets, and data visualization. You are familiar with databases and data storage systems such as GCS or S3, and content management systems such as Hygraph.
• You are proficient in software development practices, including version control systems, testing frameworks, and code review processes and are passionate about writing clean, defensible code.
• You have a deep understanding of machine learning concepts and techniques and you are proficient in Python. You should have experience working with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

To join our team you must also:

• be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check
  

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $180,000 - $210,000 and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A technical screen, either as a live interview via Karat or as a take-home assessment
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

WellSaid Labs is honored to be an equal opportunity workplace. We realize that by bringing together teams rich in diverse thoughts and experiences, our people, company, and customers are free to flourish. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws.

Who You Are: an Experienced Data Engineer working in Applied Machine Learning

The WellSaid Labs Applied Machine Learning Team works with stakeholders to identify, refine, and solve problems at the intersection of machine learning and customer needs. This team understands customer needs through quantitative and qualitative research and they work across WSL teams to understand how machine learning is utilized and how it can be improved.

Improving and maintaining our ML solutions includes creating test datasets and metrics to define and gauge success, working with the ML Platform Team to prioritize model updates, training new models for deployment, coordinating releases, and educating the customer on any new capabilities. The Applied ML Team is consistently testing and reviewing any deployed models.

As a Data Engineer on the Applied ML Team at WellSaid Labs, you will be working to regularly improve our ML services, chiefly our text-to-speech service. You will own the strategy and development of our testing frameworks, customer research, and model improvements. add new datasets; train, deploy, and evaluate new models; and design experiments and algorithms for solving new and creative TTS challenges. You will build automated systems for evaluating ML performance: accuracy, consistency, and customer acceptance. You will summarize your findings into compelling reports and then collaborate with the Platform and Applied ML teams to build solutions. It would be great for you to be familiar with Text-to-Speech technology, database querying, data labeling and preparing, crafting workflows for crowd-sourcing evaluations, and metrics reporting.

How You’ll Contribute:

In your day-to-day, you will:

• Work directly with text and audio data: gathering, compiling, and organizing datasets, preparing data for machine training, evaluating results, debugging problematic data
• Train and deploy ML models: incorporating new data, monitoring training metrics, debugging failing code, deploying a model for customer use
• Evaluate ML models: consider causation or correlation between training data and ML predictions, design ML experiments and establish success criteria, gather and evaluate metrics including mean opinion scores; design evaluation tools for measuring pronunciation accuracy, naturalness, text normalization coverage, among others to minimize customer-model friction
• Additional research projects: interesting data or use cases, alternative services and solutions, internal process improvements, new quality evaluation exercises, etc.
  
  

Additionally, this role requires you to write and execute code that enables you, and others, to perform each of these tasks. It also requires you to think critically about language, dialect, pronunciation, phonemics, and audio dynamics in order to build the highest quality voices and Studio/API experiences for our customers.

What We’re Looking For

To thrive in this role, you ideally have experience with and a solid understanding of ML concepts and best practices, a history of successfully managing datasets and metrics in a ML capacity, coding experience developing tools that can evaluate data and enable you and your team to establish recommendations based on data analysis results, and experience with software releases to production with strong considerations for both customer impact and ethical implementations of AI.

• You have worked in a technical team, managing project expectations and communicating your plans, project statuses, and results frequently and comprehensively
• You have worked with a wide array of data types, building analysis tools and establishing success criteria for evaluating the success of data-driven projects
• You have built and deployed ML models for use by a non-technical audience, clearly communicating usage guidelines and best practices
• You have experience building and documenting new processes, especially in a ML pipeline or similar capacity
• You have a strong understanding of the importance of data preparation for ML training, data visualization and metrics for ML assessment, and analysis of ML results
• You have familiarity with software and feature releases and can work closely with a Product team for exposing ML changes to customers
• [Bonus] You are fluent in Spanish or French
• [Bonus] You have a curiosity and interest in linguistics and acoustics
• [Bonus] You have studied Deep Learning and have applied models to solve technical challenges
• [Bonus] You have an interest in eventually managing an Applied ML Team, strategizing workload, and mentoring contributing engineers under your supervision

To join our team you must also:

• be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $130,000 - $160,000, and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A technical screen, either as a live interview via Karat or as a take-home assessment
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

WellSaid Labs is honored to be an equal opportunity workplace. We realize that by bringing together teams rich in diverse thoughts and experiences, our people, company, and customers are free to flourish. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws.

How You’ll Contribute:

We have developed a breakthrough AI algorithm that creates synthetic, realistic speech from text. You will help develop the creative studio powered by this algorithm, enabling creatives to make lifelike voice over for videos, audiobooks, and trainings.

In this role, you’ll be responsible for owning the development of large features and and maintain one or more components of our Text-to-Speech service. This includes following design specifications, owning parts of larger engineering initiatives, and working both collaboratively as well as independently in a mature web codebase.

The projects you'll undertake are geared toward bringing new functionality to the WellSaid Labs Studio. Working directly with our VP and senior engineering team, you'll be tasked with developing features that have high impact and visibility in our customers' daily interactions with Studio.

In your day-to-day, you might work on:

• A collaborative user interface for generating voice over
• A web-based audio editor
• A streamlined custom onboarding experience

Also, you’ll be challenged to:

• Find opportunities to mature our engineering processes
• Build an accessible and inclusive user experience
• Tackle challenges creatively and critically evaluate your work
• Help interview and recruit more talented engineers to WellSaid Labs!

What We’re Looking For

To thrive in this role, you ideally have experience with React (alternatively, Angular, Vue, or similar), Typescript (alternatively, Java, C#, or similar), and HTML/CSS. You have an understanding of software design principles such as DRY, SoC, Dependency Injection, etc. You also have some combination of the following:

• Give attention to creating modular, secure, and well-tested code
• Experience building and shipping end-to-end features to a sizable user base
• Working knowledge of computer science fundamentals like data structures and algorithms
• Ability to self-direct the planning and scoping for a project
• Strong communication, organizational and interpersonal skills
• (Bonus) Experience with our tech stack which includes: NextJS, Node, GraphQL, PostgresSQL, Docker, Google Kubernetes Engine
• (Bonus) Experience with cross-team collaboration

To join our team you must also:

• be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $150-180k, and represents the target offer range given the scope and experience expectations for this role.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A technical screen, either as a live interview via Karat or as a take-home assessment
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable ane set up for success in our process.

Who You Are: A Staff-Level Engineer with an affinity for mentorship and teamwork

You are an experienced full stack engineer with an eye for building scalable and user-friendly web applications. You are comfortable working in an agile environment and collaborating with other engineers, designers, and product managers. You are eager to learn new skills and technologies, and share your knowledge with more junior engineers. You have a strong sense of ownership and pride in your work, and strive to deliver high-quality code that meets the needs of the users and the business - all while having fun in the process.

Ideally, you have experience in developing both front-end and back-end features using modern technologies and frameworks. You are highly proficient in HTML, CSS, JavaScript, and Node.js. You’ve used React as a front-end framework, and you find joy in creating elegant user interfaces.

How You’ll Contribute:

We have developed a breakthrough AI algorithm that creates synthetic, realistic speech from text. You will provide technical leadership and will be an integral part of the development of the creative studio powered by this algorithm, enabling creatives to make lifelike voice over for videos, audiobooks, and training programs.

In this role, you’ll be responsible for the development of features and maintenance of components of our Text-to-Speech application, Studio. This includes writing and reviewing technical and design specifications, owning delivery of parts of larger engineering initiatives, mentoring team members, and working both collaboratively as well as independently in a mature web codebase.

The projects you'll undertake are geared toward bringing improvements and new functionality to the WellSaid Labs Studio. Working directly with our product team, you'll collaboratively develop features that have high impact and visibility in our customers' daily interactions with Studio as well as help WellSaid Labs improve and create a world-class software solution for creative teams.

In this role, you’ll develop:

• A collaborative user interface for generating audio
• The next version of our editor
• Our ever-growing avatar marketplace
• A streamlined customer onboarding experience
• An improved user experience for larger teams to collaborate together to create human-parity audio

Also, you’ll be challenged to:

• Guide the Studio engineering team to make technical decisions that are inline with the future architectural vision
• Find opportunities to mature our engineering processes
• Provide technical guidance for all software development by the Studio team
• Lead technical collaboration across teams and be able to represent work and decisions from the Studio team
• Build complex features to completion
• Grow and scale the platform while improving performance
• Build an accessible and inclusive user experience
• Tackle challenges creatively and critically evaluate your work
• Help interview and recruit more talented engineers to WellSaid Labs!

What We’re Looking For

To thrive in this role, you have a combination of strong front-end and back-end technical skills in addition to communication and collaboration skills that enable you to effectively lead a technical team to make decisions and deliver functionality to solve customer problems. You ideally have experience with React (alternatively, Angular, Vue, or similar), Apollo GraphQL, Typescript (alternatively, Java, C#, or similar), and HTML/CSS. You have an understanding of and point of view on software design principles. You also have some combination of the following:

• Give attention to creating modular, secure, and well-tested code
• Experience building and shipping end-to-end features to a sizable user base, with consideration for security, performance, scalability, reliability, and repeatability
• Working knowledge of computer science fundamentals like data structures and algorithms
• Ability to self-direct the planning and scoping for a project
• Leadership skills to technically provide guidance and coaching to more junior engineers
• Ability to design and iterate a long-term architectural vision taking into account scaling for a growing user base and building solutions to for additional market opportunities
• Experience optimizing performance of a growing cloud software application
• Strong communication, organizational and interpersonal skills
• (Bonus) Experience with our tech stack which includes: NextJS, Node, GraphQL, PostgresSQL, Docker, Google Kubernetes Engine
• (Bonus) Experience with cross-team collaboration

To join our team you must also:

• be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check
  
  

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $175,000 - $200,000 and represents the target offer range given the scope and experience expectations for this role.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend
  
  

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A technical screen, either as a live interview via Karat or as a take-home assessment
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

WellSaid Labs is honored to be an equal opportunity workplace. We realize that by bringing together teams rich in diverse thoughts and experiences, our people, company, and customers are free to flourish. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws.

How You’ll Contribute:

As Staff Software Engineer on the ML Platform Team, you will work with the CTO to elevate our machine learning platform and extend our state-of-the-art text-to-speech models. This work includes optimizing our training pipeline, automating data processing, and redesigning abstraction layers.

You would be joining and leading a pioneering team with years of experience being the industry leader in text-to-speech.

In your day-today, you'll work on:

• Iteratively and incrementally improving our TTS service's ease of use, reliability, and performance.
• Building automated training and data processing services.
• Scaling our platform to load, process and validate tens of thousands of hours of text and speech data.
• Improving the performance and scalability of our machine learning training pipeline by integrating tools like DeepSpeed, PyTorch AMP, PyTorch JIT, and PyTorch Profiler.
• Researching techniques for better fine tuning and quantizing our models.
• Implementing processes to build confidence in our platform and services.
• Surfacing and leading discussions on the AI ethics and the social impact of your work at WellSaid Labs.
• Fostering and inclusive team culture and working environment.
• Open-source reusable libraries and tooling.

What We’re Looking For

To thrive in this role, you ideally have developed complex PyTorch models, experience deploying and monitoring models in production, and an deep understanding of scaling machine learning services. You ideally have led significant deep learning projects to address customer problems.

Ideally, you also have some combination of the following:

• Experience leading the development of a mature production machine-learning service.
• Has deployed deep learning models with Pytorch in the past 2 years.
• You have built and deployed ML models for use by a non-technical audience, clearly communicating usage guidelines and best practices.
• Great attention to detail.
• Affinity for creating modular, scalable, secure, and well-tested code.
• You deeply understand deep learning RND workflows, practices, and techniques.
• A background using data structures and algorithms to process large amounts of data.
• Experience implementing automating model training and data processing.
• Experience implementing various tooling for speeding up training.
• Strong cross-team collaboration skills.
• An agile, iterative mentality and approach to problem-solving.
• (Bonus) Experience building highly optimized layers (with C++, CUDA, etc.)
• (Bonus) Experience profiling and optimizing deep neural network performance.
• (Bonus) Experience scaling models past a billion parameters.

To join our team you must also:

• be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $180-210k and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A take-home assessment which involves implementing small suggested improvements from research papers in PyTorch
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

Who You Are: A Performance-Driven SaaS Marketing Leader Who Understands the Intersection of the Creative and Technology Worlds

As a growth-stage Marketing leader, you understand the importance of optimizating the unit economics of all acquisition strategies–and are obsessed with understanding who the ideal customer is. You have experience scaling complex SaaS business models, diversifying its marketing programs, and supporting the Sales and Product organizations to better connect with existing and potential customers. At WellSaid, you’ll have a unique opportunity to further the awareness and adoption of the most powerful Generative AI Voice company in the market.

One more thing: While you may not be an AI expert, you are a tech enthusiast/creative at heart. This is a key requirement to become a contributing member of WellSaid. Our customers are creating next-generation content, experiences, and products, and you will support them in achieving their creative goals. You are likely to have a strong opinion in favor, against, or neutral about using the Oxford comma — and know the difference between a hyphen, an em dash, and an en dash. And you most likely hated the previous running sentence.

How You’ll Contribute:

As VP of Marketing at WellSaid Labs, you will be responsible for creating and driving demand for sales, increasing brand awareness, and establishing new marketing programs for creative and technical communities. You will be tasked with helping the company identify new market opportunities supported by quantitative and qualitative analysis in collaboration with Sales, Product, and Finance. You will build a high-performance marketing organization that reflects WellSaid’s core values. This is a strategic role that reports directly to the Chief Revenue Officer.

In your day-to-day, you will:

• Develop and execute WellSaid’s annual marketing plan and strategy.
• Build and manage a high-performing marketing team.
• Develop and execute demand generation strategies to generate high-quality leads and drive revenue growth.
• Collaborate with sales teams to create aligned marketing and sales funnels.
• Lead the ABM strategy, identifying and targeting key accounts to accelerate growth.
• Oversee digital marketing initiatives, including SEO, SEM, email marketing, and social media campaigns.
• Analyze digital marketing data to optimize campaigns and enhance ROI.
• Manage relationships with channel partners and develop co-marketing initiatives.
• Create channel-specific marketing programs to drive partner success and revenue growth.
• Directing market research, analyzing data, and evaluating competitors' strategies and positioning, providing recommendations for counterstrategies.
  
  

What We’re Looking For

To thrive in this role, you ideally have successfully achieved operational excellence in building and leading marketing teams in growth and scale stage startups (Series B+).

You also have some combination of the following:

• 12+ years of experience in the software industry with recent mid-market and enterprise SaaS experience, preferably on the creative and technical applications side (selling to content teams, marketing, HR, product)
• 7+ years of experience in leadership roles in Series B+ venture back startups
• A proven track record of consistently exceeding quota goals with solid leadership, tenacity, great attitude, accountability, high energy, integrity, and discipline
• Relevant Bachelor’s degree preferred
• Knowledge of modern demand generation best practices, such as conversational marketing, personalization, ABM, predictive intent, etc.
• High level understanding of SaaS companies’ infrastructure and software development life cycle

To join our team you also:

• Must be a U.S. Citizen or Permanent Resident
• Must pass a pre-employment background check
  
  

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best; we just ask that within your work day, you be able to meet our Core Business Hours of 10 a.m. - 2 p.m. PT. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell. We ask that you be able to travel up to four times per year, to spend valuable in person time with the team!

Compensation and Benefits

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is base pay of $175,000 - $195,000, with additional incentive pay of $20,000-$40,000 annually. This represents the target offer range given the scope and experience expectations for this role.

In hiring, we are generally open to a range of experiences and levels, and recognize that as a candidate you may be less experienced or more senior than this job description as posted. If that's the case, an updated salary range will be shared with you if you move forward in our hiring process.

As a WSL team member, once you are hired, the salary range for your role expands to ensure you are able to receive performance-based raises and grow in your role.

Other perks and benefits:

• Competitive equity package
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous paid flexible time off policy
• Parental leave
• Learning & development stipend
• Home office stipend
  
  

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• Initial “phone” screens with the VP of People and CRO (45 minutes each); if there’s a match we’ll schedule an interview loop with the team.
• An Interview loop with 3-4 interviews (1 hour each) with the Leadership and Marketing & Product team members you would be working closely with in this role

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel set up for success in our process.

Who You Are: A Proactive, Hands On, Fearless Outbound Sales Leader

We are looking for a Senior Sales Manager to join our growing SMB sales team!! This is an unique opportunity to join a fast-growing startup early and to make a meaningful impact in a lead role.

As Senior Sales Manager, you will blend your talent for people development and operational sales knowledge to drive results. In this role, you will hire, manage and motivate, optimize existing outbound sales motions, and be responsible for team metrics for 6-8 direct reports. You will hire, train and mentor account executives and sales team members to develop a high-performing team.

How You’ll Contribute:

As a direct report to the VP of Sales, you will be tasked with optimizing the outbound sales motions and teams. Strategy will be set, and execution and optimization is the core job function.

In your day-to-day, you will:

• Coach, mentor, and guide the team in developing consultative and solution-based sales skills
• Recruit, train, and lead a team of 6-8 sales professionals
• Training sales motion adaptation
• Work with Sales Ops to measure your team metrics
• Be in office three days a week for 8 hours a day.
• Be accountable for increasing revenue and scaling the team
• Effectively work cross-functionally across the organization with marketing and customer success, to develop solutions that meet client needs
• Showcase results and improvement in performance through dashboard and key metrics.

What We’re Looking For

To thrive in this role, you ideally have successfully led sales, existing business, and operations in an early stage, high-growth SaaS technology environment. You have experience successfully navigating complex enterprise sales cycles and buying committees and still have the ability to jump on calls to assist your team.

While we don’t expect you to join WellSaid as an AI expert, you are a tech enthusiast/creative at heart. This is a key requirement to become a contributing member of WellSaid. Our customers are creating next-generation content, experiences, and products, and you will be there supporting them to achieve their creative goals.

You also have some combination of the following:

• Have shown success creating an outbound motion and current with latest sales tactics and methodology.
• 8+ years of sales management experience
• 8+ years of technology sales experience
• 3+ years of outbound motion experience
• Passion for and commitment to using technology ethically, for good
• Ability to hire, train, and coach a high-performance sales team
• Ability to build relationships with strategic client and industry thought leaders
• Ability to clearly communicate technical concepts and build great relationships with highly technical customers
• Prior experience at a growth stage technology company

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $140,000 - $160,000, and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An initial “phone” screen with the hiring manager (45 minutes); if there’s a match we’ll schedule an interview loop with the team.
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with.
• Final In-Person Interview with the VP of Sales

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel set up for success in our process.