Your Responsibilities Will Include:

• Developing new market segments and identify creative growth strategies
• Doing what it takes to identify, cultivate and win new partners
• Ensuring partners have everything they need to be successful with Anthropic
• Acting as voice for our customers in product development
• Partnering closely with our product, engineering, marketing and design teams to develop a best-in-class product for our customers
• Building and improving processes to help Anthropic scale

You may be a good fit if you:

• Have experience operating in fast-paced, technology start-ups
• Thrive in unstructured environments, and have a knack for bringing order to chaos
• Are an excellent communicator and collaborator with people across a wide range of functions
• Delight in driving forward projects and developing processes.
• Love taking big ideas and translating them into action - you set your mind to a goal and ensure you accomplish it
• Are deeply customer oriented and always ensure partners get their needs met.
• Have a passion for and/or experience with advanced AI systems, and feel strongly about ensuring these systems are developed safely

Annual Salary (USD)

• The expected salary range for this position is $200k - $330k.

Compensation and Benefits*

Logistics

Your responsibilities will include:

• Responding to support tickets.
• Working with engineers and other team members to resolve user issues.
• Building support processes, for example: systems for sorting tickets, internal and user-facing documentation, feedback from support to inform product development, generate ideas for internal tooling and user-facing solutions to increase efficiency and reduce contact rates.

You may be a good fit if you have:

• Experience with product support or related functions, like customer success (ideally 1-3+ years).
• High user empathy — you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution.
• Crisp written communication and high conscientiousness. Users who need help are often confused. You’ll talk to them, ask the right questions, and sweat the details.
• Experience thriving in fast-paced, high-volume, reactive situations. You’re great at prioritizing multiple demands, and knowing when to drop tasks.
• Curiosity and a love for solving problems — users don’t always tell you clearly what their problem is, and often their problem is indicative of a larger, strategic product issue. You enjoy the hunt to track down a bug or issue, and are energized by fixing this for all similar users going forward.
• Experience and enjoy doing behind-the-scenes work. This is essential, highly valuable, but unglamorous work.
• Interest in Anthropic’s products, and producitizing large language models in general. If users are having trouble logging in, for example, it will be hard to help them if you don’t understand the flow yourself.

In 3 months you will:

• Solve thousands of tickets
• Write a user-facing FAQ
• Develop a categorization system for support tickets

Annual Salary (USD)

• The expected salary range for this position is $115k - $130k.

Compensation and Benefits*

Logistics

Responsibilities:

• Designing and implementing processes that improve the efficiency and productivity of our sales team
• Managing and supporting forecasting, pipeline analysis, annual planning, and sales cadence
• Owning all sales systems and tools
• Working cross-functionally to implement new reporting and planning solutions
• Setting clear goals and direction for the Sales Operations team
• Building a great culture and ensuring team members are happy, effective, and growing in their career

You may be a good fit if you:

• Have 10+ years of experience in sales operations (or related functions) and at least 5 years of people management experience
• Are a builder with a strong track record of designing and implementing effective solutions that scale
• Are exceptionally collaborative and have experience working with stakeholders across functions
• Have a strong operational background with a track record of making data driven decisions
• Have a high threshold for navigating ambiguity and are able to balance setting strategic priorities with rapid, high-quality execution
• Thrive in unstructured environments, and have a knack for bringing order to chaos

Annual Salary:

• The expected salary range for this position is $190k - $270k.

Responsibilities:

• Develop and manage strategic marketing programs including customer advisory boards, executive roundtables, closed-door programming with key leaders, live demos and other immersive experiences
• Collaborate with cross-functional teams including Sales, Product Marketing and Communications to identify target audiences, define campaign objectives, and craft compelling messaging and content
• Manage end-to-end execution of programs and events including timeline planning, budget management, venue/vendor sourcing, agenda setting, content creation, speaker recruitment, promotion, and on-site logistics
• Measure effectiveness and provide data-driven recommendations to optimize future events and campaignsBuild and nurture relationships with customers, partners, industry influencers and senior leaders to engage them as speakers, sponsors and participants
• Stay up-to-date on industry trends, research, and new technologies to develop programs that advance Anthropic’s position and deepen engagement with our priority audiences.

You may be a good fit if you:

• Have 5+ years experience developing and executing large-scale marketing events and programs, ideally for a high-growth company
• Are a strong project manager with proven ability to manage complex budgets, timelines, and logistics
• Possess excellent written and verbal communication skills; comfortable presenting to large audiences
• Can generate innovative ideas and concepts through creative thinking
• Strong attention to detail and ability to manage multiple projects simultaneously
• Are comfortable working in a fast-paced, rapidly changing startup environment
• Feel passionate about Anthropic's mission to build reliable, interpretable, and steerable AI

Annual Salary (USD)

• The expected salary range for this position is $200k-280k.

Responsibilities:

• Develop and execute the global tax strategy and lead tax operations with the support of external advisors for a high-growth technology company
• Manage internal tax function including income, sales & use, VAT, and taxes associated with payroll and equity compensation
• Drive process improvements and implement technology solutions to streamline tax workflows and reporting
• Partner with finance leaders on tax considerations for key business initiatives such as funding rounds, international expansion, M&A, etc.
• Monitor regulatory changes and ensure compliance with federal, state, local and international tax laws and regulations
• Lead and develop a high-performing global tax team, promoting collaboration and career growth
• Serve as a trusted advisor to executive leadership and key internal stakeholders on tax matters

You may be a good fit if you:

• (Required) Have 7+ years of corporate tax experience, preferably at a high growth start up
• Have deep knowledge of tax provisions, tax efficiency strategies, and indirect tax compliance
• Have experience at a high-growth technology company
• Have experience with tax process automation and technology solutionsHave proven ability to communicate complex tax concepts and influence stakeholders

Strong candidates may also:

• Have a CPA and/or Masters in Taxation
• Have at least 3+ years experience in a senior tax leadership role
• Have a familiarity of tax considerations related to M&A/restructuring, equity compensation, and transfer pricing

Annual Salary

• The expected salary range for this position is $210k - $300k USD.

Key Responsibilities

• Maintain our balance sheet and monthly journal entries.
• Prepare financial statements, schedules, and reports.
• Process bi-weekly payroll, including tax filings and compliance.
• Manage the full accounts payable and receivable cycles.
• Track fixed assets and calculate depreciation in our accounting system.
• Review and approve business expenses and corporate credit card charges.
• Complete ad hoc accounting projects and analyses.

You May Be a Good Fit If You Have …

• Experience of working in a fast-paced startup environments.
• The ability to meet deadlines without sacrificing the quality of your work product.
• Comfort with handling ambiguity and working with minimal supervision.
• The initiative to take your knowledge of processes and systems and recommend well-considered improvements.
• Knowledge of how to implement a change and are good at predicting what the effects of it will be, and you know how to “get it right” the first time.

Requirements

• Bachelor’s degree in Accounting, Finance, or related field.
• Proficiency in QuickBooks, NetSuite, or similar accounting software.
• Strong organizational and time-management abilities.
• Keen attention to detail and commitment to accuracy.
• A self-starter able to work independently and meet deadlines.
• At least 5 years of accounting/finance experience, preferably in a fast-paced environment.

Annual Salary (USD)

• The expected salary range for this position is $180k - $250k.

Compensation and Benefits*

Logistics

Responsibilities:

• Collaborate with Legal, Operations, Product, Security, and Engineering to develop, implement, and monitor comprehensive privacy policies, procedures, and controls aligned with relevant regulations such as GDPR and CCPA.
• Work with Privacy Engineering to develop and implement technical privacy requirements, controls, processes, tools, and infrastructure such as consent mechanisms, preference managers, and user controls.
• Collaborate with cross-functional stakeholders to coordinate and support privacy design reviews, integration of privacy by design principles, and privacy threat modeling, risk assessments, and mitigations.
• Monitor systems and data practices to identify privacy issues and ensure compliance.
• Identify ways to automate privacy processes like data subject requests, reporting, and audits where possible and work with Privacy Engineering to implement automated practices.
• Collaborate with product managers and engineering teams to balance privacy and product objectives.
• Clearly document privacy policies, procedures, architectures, and controls.
• Perform vendor due diligence and onboarding for privacy compliance.
• Report on privacy metrics, issues, and progress to leadership.
• Stay up-to-date on privacy best practices, tools, and emerging technologies.
• Continuously improve privacy practices through training, research, and sharing lessons learned.

You may be a good fit if you:

• You have a passion for developing AI that is both innovative and trustworthy.
• You understand the opportunities of AI to benefit society as well as the risks and limitations that must be addressed.
• You have experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules “move to the left.”
• You thrive in this dynamic environment and pride yourself on your adaptability and ability to pivot with speed and grace.
• You understand how to achieve the right balance between the organization’s mission and goals, when to be flexible and when to draw a hard line.
• You have a knack for identifying and implementing efficient processes and policies.
• You thrive as a member of cross-functional teams building frontier technologies and want to develop a deep understanding of our technical teams and what we are building.
• You enjoy wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory.
• You are a “doer” and are willing to roll up your sleeves to get things done.
• You’re a team player who doesn’t hesitate to jump in to solve difficult problems.

Strong candidates may also:

• Have 5+ years of experience in a privacy officer, privacy program management or related role.
• Have deep knowledge of privacy-enhancing technologies and privacy engineering concepts.
• Have hands-on experience building privacy features and controlsUnderstand relevant privacy laws and regulations.
• Have experience with data mapping, DPIAs, and managing privacy programs.
• Have excellent communication, collaboration, and stakeholder management skills.
• Have the ability to translate complex privacy concepts for broad audiences.
• Have a passion for advancing privacy and ethical data practices.
• Familiarity with machine learning, generative models and products strongly preferred.
• Be a motivated self-starter able to multi-task and juggle multiple priorities in a dynamic environment.
• Have a growth mindset, with a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations.
• Have a commitment to building trustworthy, privacy-forward, ethical AI systems.

Responsibilities:

• Onboarding and offboarding — Scaling and maintaining these key processes to ensure every employee has great first and last impressions of Anthropic that reinforce our mission and our cultural values
• Developing and retaining employees – Managing our biannual performance review and promotion process end-to-end, collecting and actioning feedback on employee engagement and manager satisfaction, and helping us foster an inclusive environment of growth
• Building out and scaling our people operations infrastructure - From testing and selecting new tools to building out employee resources, you will help develop and scale the systems we use to provide an exceptional experience to our employees, including managing tools like our HRIS, performance management and org chart software, reporting tools, internal ticketing systems, and other platforms
• Knowledge management - Developing and maintaining knowledge management systems and tools such as centralized databases, wikis, and portals to allow easy access to organizational knowledge
• Administration and compliance - Helping to administer backend people processes such as benefits administration, EEOC reporting, and ensure we are in compliance with HR-related federal, state and local laws

You may be a good fit if you:

• Have a minimum of 5-8 years experience working in people operations, human resources, or closely related functions
• Are familiar with working at a tech company or in a similarly fast-paced environment
• Have strong working knowledge of people operations-related best practices and are able to effectively implement these in a culturally appropriate fashion
• Have a track record of taking on poorly scoped projects and taking ownership to get them over the finish line
• Are intensely detail oriented; you feel confident you can handle sensitive and data-rich projects, like tracking and updating employee compensation data, without making mistakes
• See internal stakeholders as customers, and want to make sure you provide excellent service whenever they come into contact with you or your team
• Care about ensuring that advanced AI systems are developed safely, and have at minimum a basic interest in artificial intelligence and its potential applications.

Strong candidates may also:

• Have experience operating at a California-based company, and relative fluency with CA-specific HR and employment policies and best practices
• Excel at building and scaling processes, and enjoy identifying and setting up new systems at a quickly growing company
• Have strong working knowledge of people operations-related best practices and are able to effectively implement these in a culturally appropriate fashion
• Be a pragmatic problem-solver and enjoy developing creative solutions and building from zero to one
• Be comfortable navigating sensitive conversations around employee satisfaction and performance, and can be trusted with confidential information

Annual salary (USD)

• The expected salary range for this position is $160k - $230k.

Responsibilities

• With our other recruitment staff, overseeing the recruitment pipeline
• Being the primary point of contact for your candidates
• Interview scheduling across many calendars
• Running sourcing sessions with staff
• Writing, editing, and standardizing job descriptions
• Scoping new roles and developing interview loops in collaboration with hiring managers
• Evaluating and interfacing with external recruiting organizations
• Improving our recruitment processes to better serve candidates, fellow employees, and hiring managers

You might be a good fit if

• You’ve ever gotten excited thinking about how great it would be to bring together the most impressive people you can find
• You notice subtleties, name them, and broadcast
• People tend to enjoy talking with you
• You believe Anthropic will have greater success with a more diverse staff
• You have at least 3 years of experience in recruiting.

Nice-to-haves for this role

• We prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don’t think you will be able to do that.
• We prefer candidates who can start in this role ASAP, and will consider it a plus if you can start soon.

Annual Salary (USD)

• The expected salary range for this position is $115k - $270k.

Compensation and Benefits*

Logistics

Responsibilities:

• Conceive and execute on a product vision and strategy for our developer API
• Conduct user research by engaging directly with developers through interviews, surveys, forum participation, and more to understand their pain points and requirements
• Synthesize user insights into actionable product requirements, user stories, and product specifications
• Design intuitive and developer-friendly API interfaces, SDKs, and documentation experiences
• Analyze API usage data and feedback to measure product success and uncover new opportunities
• Represent the developer perspective and advocate for their needs across the organization
• Communicate product roadmap, releases, and value propositions to developer users
• Stay up-to-date on API and developer tools trends, emerging technologies, and industry best practices

You might be a good fit if you have:

• 5+ years of experience as a Product Manager working on developer-focused products
• Strong technical aptitude to understand API architecture and to partner with engineers- software engineering experience is a plus
• Proficiency in SQL and experience analyzing, interpreting, and leveraging data to make strategic, business decisions. You enjoy empirical, data-driven approaches to deployment
• Successfully launched zero-to-one products that have found distribution or commercial success. You have experience gathering feedback, input and data from users and running beta tests
• The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Annual Salary:

• The expected salary range for this position is $300k - $520k.

Responsibilities:

• Establish a shared vision for creating applications that enable beneficial and safe AI
• Lead the vision, strategy, and execution of innovative applications that leverage our latest models’ capabilities, defining an ambitious roadmap for product development and expansion in ambiguous and uncharted areas
• Rapidly prototype different products and services to learn how the latest frontier AI can help solve real problems for users
• Analyze metrics to inform product success and evolution, ensuring applications provide value and exceptional user experience
• Communicate product roadmap, releases, and value propositions to users
• Deeply understand the AI landscape, ensuring we have an objective view of market capabilities and our position

You might be a good fit if you have:

• 5+ years of experience in Product Management working on consumer-facing products
• Built and deployed novel and innovative end user products on top of APIs in a developing business area
• Strong technical aptitude to partner with engineers on rapid prototyping - software engineering experience is a plus
• Proficiency in SQL and experience analyzing, interpreting, and leveraging data to make strategic, business decisions. You enjoy empirical, data-driven approaches to deployment
• The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
• Successfully launched zero-to-one products that have found distribution or commercial success. You have experience gathering feedback, input and data from users and running beta tests
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Annual Salary:

• The expected salary range for this position is $300k - $520k.

Representative projects

• Rapidly prototype different products and services to learn how generative models can help solve real problems for users.
• Work closely with our alignment team to define how to make our models more aligned, and with ML researchers to guide what capabilities are needed to serve users.
• Work closely with outside deployment partners to understand end-user needs and integrate their perspective into the development of the product.
• Everything else it takes to get a new product off the ground.

You might be a good fit if you

• Enjoy tackling unusual and engaging product challenges, including exploring a potentially broad application space with safety as a primary goal.
• Love to think creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems.
• Have technical capabilities to be able to have meaningful conversations with our partner developers.
• Have software engineering experience.
• Enjoy empirical, data-driven approaches to deployment.
• Have experience gathering feedback, input and data from users and running beta tests.
• Are willing and excited to play many deployment-related positions, including those we haven’t scoped yet.
• Have successfully launched products before, finding ‘product-market fit’ or executing an ‘effective intervention’.
• Enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.

Annual Salary (USD)

• The expected salary range for this position is $300k - $520k.

Compensation and Benefits*

Logistics

Responsibilities:

• Using data and insights to communicate Anthropic's narrative
• Weaving a brand narrative across different touchpoints, with the ability to produce assets for events, environmental graphics, digital experiences, or print
• Articulating a creative vision by collaborating with other designers, illustrators, photographers, etc.
• Communicating ideas and painting a picture of our work through written language (project briefs, written narratives, etc.) weaving our brand narrative together across various outputs

You may be a good fit if you:

• Have strong writing skills
• Are experienced in producing a variety of outputs
• Independently drive projects and make independent judgements based on your understanding of the brand and business goals, while seeking feedback, brainstorming cross-functionally, and augmenting your work with others' expertise
• Understand people’s feelings, cultures, and challenges through an inquisitive, learning-based approach towards your audience and subject
• Hold to a standard of design without being a perfectionist, with the ability to understand the tradeoffs of fast-paced work without sacrificing standards

Annual Salary (USD)

• The expected salary range for this position is $300k - $375k

Representative Projects

• Discover, test, and document best practices for a wide range of tasks relevant to our customers.
• Build up a library of high quality prompts or prompt chains to accomplish a variety of tasks, with an easy guide to help users search for the one that meets their needs.
• Build a set of tutorials and interactive tools that teach the art of prompt engineering to our customers.
• Work with large enterprise customers on their prompting strategies.

You may be a good fit if you:

• Have 3-5 years of relevant or transferrable experience.
• Have at least a high level familiarity with the architecture and operation of large language models.
• Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others.
• Are excited to talk to motivated customers and help solve their problems.
• Have a creative hacker spirit and love solving puzzles.
• Have at least basic programming skills and would be comfortable writing small Python programs.
• Have an organizational mindset and enjoy building teams from the ground up.
• You think holistically and can proactively identify the needs of an organization.
• Make ambiguous problems clear and identify core principles that can translate across scenarios.
• Have a passion for making powerful technology safe and societally beneficial.
• You anticipate unforeseen risks, model out scenarios, and provide actionable guidance to internal stakeholders.
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
• You stay up-to-date and informed by taking an active interest in emerging research and industry trends.

Annual Salary (USD)

• The expected salary range for this position is $250k - $375k.

Compensation and Benefits*

Logistics

Responsibilities:

• Coaching and mentoring team members in their career growth
• Hiring and growing the team as needed to accomplish its research agenda
• Improving the outcome of a complex and expensive reinforcement learning experiment by suggesting a way to de-risk and test parts of it in advance.
• Leading a project to create an evaluation suite that effectively tests new capabilities and safety interventions for a newly-trained model
• Identifying the highest-priority research projects for your team to take on

You may be a good fit if you:

• Have 3+ years of experience managing people and/or leading complex technical projects in a machine learning research environment
• Enjoy pair programming (we love to pair!)
• Are passionate about building AI safely and ethically
• Have strong communication, leadership, and project management skills to guide your team to success

Strong candidates may also:

• Have experience with high performance, large-scale ML systems
• Have experience with GPUs, kubernetes, pytorch, OS internals
• Have experience using language modeling with transformers
• Have experience with building applications on top of Large Language Models
• Have experience writing evaluation suites for Large Language Models
• Have experience with reinforcement learning

Annual Salary (USD)

• The expected salary range for this position is $300k - $450k USD.

Representative projects

• Using Constitutional AI to improve AI safety, reliability, and performance in deployment
• Profiling and improving the compute efficiency of various RL implementations
• Design and manage untrusted execution environments
• Scaling a distributed training job to thousands of GPUs
• Creating a dashboard of evaluations for a variety of AI models and deploying it to customers

You might be a good fit if you

• Have extensive software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts and long-term implications of your work

Strong candidates may also have experience with some of the following

• High performance, large-scale ML systems
• GPUs, kubernetes, pytorch, OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Annual Salary (USD)

• The expected salary range for this position is $250k - $450k.

Compensation and Benefits*

Logistics

Responsibilities:

• Consult with different teams to deeply understand their workflows and identify opportunities for automation
• Rapidly prototype and build internal tools leveraging platforms like Retool
• Develop custom internal tools and integrations where needed for more complex workflows
• Maintain and iterate on tools based on user feedback to continually improve utility
• Monitor tool reliability and be available to troubleshoot issues
• Advocate for interfaces, APIs, and UX designed for usability

You may be a good fit if you:

• Have 3+ years building production software with a focus on usability
• Have strong communication skills and user empathy to understand needs
• Have proficiency with Python and modern web development stacks
• Have experience with low-code platforms like Retool
• Focus on tool reliability and iteratively improving utility

Strong candidates may also:

• Have a background in fraud, security, or related internal workflows
• Have full-stack development expertise to build custom integrations
• Have knowledge of security and privacy best practices

Representative projects

• Build core components of the API to access large language models
• Write billing, email, and other integrations with third party providers
• Develop conversational interfaces that leverage the language models
• Optimize the API and interfaces for performance, robustness, and ease of use
• Implement tools and processes to monitor model behavior and performance
• Work with researchers to improve interfaces based on interactions with real users

You might be a good fit if you

• Have 5+ years of experience as a software engineer, preferably building APIs and/or interfaces
• Have strong coding skills in Python and TypeScript and experience with service-oriented architectures
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
• Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI
• Enjoy pair programming (we love to pair!)

Strong candidates may also have experience with some of the following

• Have worked with NLP and ML models before and understand their capabilities and limitations
• REST APIs
• React and frontend frameworks
• Containerization and DevOps
• QA and testing automation
• Privacy and security best practices

Annual salary (USD)

• The expected salary range for this position is $300k - $520k.

Compensation and Benefits*

Logistics

Representative projects

• Build core components of the API to access large language models
• Write billing, email, and other integrations with third party providers
• Develop conversational interfaces that leverage the language models
• Optimize the API and interfaces for performance, robustness, and ease of use
• Implement tools and processes to monitor model behavior and performance
• Work with researchers to improve interfaces based on interactions with real users

You might be a good fit if you

• Have 5+ years of experience as a software engineer, preferably building APIs and/or interfaces
• Have strong coding skills in Python and TypeScript and experience with service-oriented architectures
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
• Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI
• Enjoy pair programming (we love to pair!)

Strong candidates may also have experience with some of the following

• Have worked with NLP and ML models before and understand their capabilities and limitations
• REST APIs
• React and frontend frameworks
• Containerisation and DevOps
• QA and testing automation
• Privacy and security best practices

Annual salary

• The expected salary range for this position is £250k - £430k.

Responsibilities:

• Act as the primary technical advisor for prospective customers evaluating Claude. Demonstrate how Claude can address the customer's use cases through proofs of concept. Provide technical guidance on integration, deployment, and adoption best practices.
• Partner closely with account executives to understand customer requirements. Configure Claude's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption
• Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Recommend solutions to technical roadblocks
• Support customer onboarding by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live
• Travel occasionally to customer sites for workshops, implementation support, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities

You may be a good fit if you have:

• 5+ years of experience as a Forward Deployed Engineer, Sales Engineer or Solutions Architect
• Designed novel and innovative solutions for technical platforms in a developing business area
• Strong technical aptitude to partner with engineers and proficiency in software engineering
• The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Annual Salary

• The expected salary range for this position is $250k - $375k USD.

You might be a good fit if you

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with some of the following

• High performance, large-scale ML systems
• GPUs, kubernetes, pytorch, OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Representative projects

• Optimizing the throughput of a new attention mechanism
• Comparing the compute efficiency of two Transformer variants
• Making a Wikipedia dataset in a format models can easily consume
• Scaling a distributed training job to thousands of GPUs
• Writing a design doc for fault tolerance strategies
• Creating an interactive visualization of attention between tokens in a language model

Responsibilities:

• Build infrastructure for running experiments and visualizing results
• Design and run robust experiments, both quickly in toy scenarios and at scale in large models
• Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
• Work with colleagues to communicate results internally and publicly

You may be a good fit if you:

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about interpretability research
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• GPUs, Kubernetes, Pytorch, or OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Representative Projects:

• Garcon - a tool which allows researchers to easily access LLMs internals from a jupyter notebook
• ETL pipelines for collecting and analyzing LLM activations at large scale
• Profiling and Optimizing ML Training, including parallelizing to many GPUs
• Make launching ML experiments and manipulating+analyzing the results fast and easy
• Writing a design doc for fault tolerance strategies
• Creating an interactive visualization of attention between tokens in a language model
Familiarity with python is required for this role.

Annual Salary:

• The expected salary range for this position is $280k - $520k USD.

Responsibilities:

• Research Engineers will be responsible for designing and running the evaluations needed to measure dangerous capabilities in models, and determine when we cross an ASL threshold.
• You’ll work with world class experts in fields like biosecurity, autonomous replication, cybersecurity, and national security, and experiment with new evals, in order to measure how risky AI systems are.
• Done well, this will inform decisions at the highest levels of the company

You may be a good fit if you:

• Have an ML-focused background and engineering and research skills (e.g. experience in Python)
• Are driven to find solutions to ambiguously scoped problems
• Design and run experiments and iterate quickly to solve machine learning problems
• Thrive in collaborative environment (we love pair programming!)
• Have experience training, working with, and prompting models
For all workstreams, experience designing and building evaluations would be valuable, but is definitely not essential. For National Security threats workstreams, we will particularly value experience working on confidential or sensitive projects and demonstrated integrity, responsibility, and trustworthiness. We will also value domain specific knowledge, although it is not necessary. For ARA threats workstreams, we would value experience with language model agents, although this is not essential.

Sample Projects:

• CBRN risks – working with external experts in the field of biosecurity to design clear and repeatable CBRN evaluations, based on a summary of dangerous biological capabilities. Using our post training infrastructure to prepare new generations of models for routine evaluations.
• Cyber risks – working with external cyber experts to co-design a set of clear and repeatable cyber evaluations. This is likely to involve building custom environments or additions onto existing tooling and infrastructure, or locating specialized datasets.
• ARA risks – building infrastructure and tooling for testing for these capabilities, and iterating with external ARA experts to scope possible tasks. This will involve building custom “testing environments” and new infrastructure.

Annual Salary (USD)

• The expected salary range for this position is $280k - $520k

You might be a good fit if:

• (Required) At least 1 research project related to machine learning in which you played a major role
• You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned.
• You like writing up and communicating your results, even when they're null.
• You like working on a team and making collaborative, data-driven research decisions.
• You believe that a great way to discover a new, big-picture vision is to first get involved in the details.
• You have experience doing quantitative science in another field.

Your responsibilities will include:

• Designing, proposing and running experiments on our systems. These will range from developing basic probes for different capabilities in models (such as assessing a given system for fairness traits); to designing comparative studies to understand how well these systems complement humans (for example, by analyzing how interacting with an AI system alters human behavior); to developing comprehensive suites of tests we can run complicated systems through (such as developing ways to evaluate the broad capabilities displayed by modern language models).
• Partnering closely with our other researchers to fully understand, analyze and evaluate state-of-the-art research across a broad range of capabilities and safety research.
• Interfacing with, providing feedback on and publicly communicating about our internal technical infrastructure and tools, with a goal of them better supporting the societal impact analysis of AI systems.
• Developing tools, evaluation suites and tests that enable understanding of AI systems for policymakers, academia, civil society and more.
• Working with the policy and other research teams to share these tools to the above stakeholders and incorporating their feedback and requests.
• Sharing your insights from your work by contributing to Anthropic research publications, giving presentations to external groups, and partnering with our policy team to articulate insights to governments.
• Generating net-new insights about the potential societal impact of systems being developed by Anthropic, and using this understanding to inform Anthropic strategy, research and policy campaigns.

You might be a good fit, if:

• You have experience assessing machine learning models for unknown traits within known capabilities (for instance, assessing the outputs of a generative model to discover what parts of a dataset are being magnified and minimized).
• You have a track record of using technical infrastructure to interface effectively with machine learning models
• You enjoy and are skilled at writing up and communicating your results, even when they’re null.
• You’re comfortable creating your own research agenda and executing against it.
• You find it exciting to partner with colleagues on ‘big science’ projects, where the whole company works to build one AI artefact and then analyze it.
• You have a prior background in data science, or another technical field which involves interfacing with technical artefacts and generating insights about them.
• You’re passionate about communicating the insights from your research to external stakeholders, ranging from academics to policymakers to other research labs.
• You have an interest in AI policy; this role offers the chance to partner with Anthropic policy to turn your research insights into actionable recommendations for governments.

Some examples of our work:

• Predictability and Surprise in Large Generative Models
• Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
• The Capacity for Moral Self-Correction in Large Language Models
• Opportunities and Risks of LLMs for Scalable Deliberation with Polis
• Towards Measuring the Representation of Subjective Global Opinions in Language Models
• Challenges in evaluating AI systems
• Collective Constitutional AI: Aligning a Language Model with Public Input
• Unpredictable Abilities Emerging from Large AI Models [MIT Tech Review]
• Language models might be able to self-correct biases—if you ask them [Wired]
• Collective Constitutional AI [NYTimes]
• Red team data — used to make open source models, e.g., Lama-2 more harmless!
• GlobalOpinionQA - measuring whose global values LMs are aligned with.

Annual Salary (USD)

• The expected salary range for this position is $250k-375k.
For this role, we are open to a 6-month residency at Anthropic (with the opportunity to convert to full-time after).

You might be a good fit if you

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with some of the following

• High performance, large-scale ML systems
• GPUs, kubernetes, pytorch, OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Representative projects

• Making a Wikipedia dataset in a format models and easily consume
• Scaling a distributed training job to thousands of GPUs
• Writing a design doc for fault tolerance strategies
• Creating an interactive visualization of attention between tokens in a language model
• Optimizing the throughput of a new attention mechanism
• Comparing the compute efficiency of two Transformer variants

You may be a good fit if you:

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High performance, large-scale distributed systems
• Kubernetes
• Python
• Machine learning

Representative projects:

• Improving how inference requests are routed to model servers to maximize compute efficiency
• Building a performance model to predict the impact of future architecture and hardware improvements
• Implementing inference for a new model architecture
• Analyzing observability data to tune performance based on production workloads
• Implementing inference on a new hardware platform
• Building instrumentation to detect and eliminate Python GIL contention
• Optimizing the efficiency of our GPU kernels
• Preparing our inference engine to be deployed on

Annual salary (USD)

• The expected salary range for this position is $250k - $375k.

Your Responsibilities Will Include:

• Becoming an expert in Anthropic's products, methodology, and prompting techniques.
• Partnering with the Anthropic Account Executives and Product Researchers team to onboard new customers, and retain and grow existing customers.
• Leading customer renewal strategy and using case-specific recommendations to key contacts at customer organizations.
• Working with internal teams to develop new products and services that meet customer needs.
• Conducting Quarterly Business Reviews for strategic accounts, in partnership with Account Executives.
• Identifying patterns across customers and representing customer needs in Anthropic's product planning processes.
• Forecasting and mitigating risks related to customer renewals and retention.

You may be a good fit if you have:

• 5+ years of experience in customer success, account management, or a related role.
• A proven track record of quota attainment against retention and upsell objectives.
• A self-motivated, results-oriented work style.
• Strong presentation and communication skills, especially when interacting with executives and leaders.
• A personal passion for ensuring the safe and ethical development of AI.

Annual Salary (USD)

• The expected salary range for this position is $240k - $280k.

Compensation and Benefits*

Logistics

Your Responsibilities Will Include:

• Win new business for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to contract signature.
• Help Anthropic develop new market segments.
• Become a trusted partner to our customers. Co-create and execute implementations alongside customer stakeholders and our engineering team.
• Work cross-functionally with Biz Ops and Engineering to share feedback from customers
• Use your learnings to build and iterate on our sales playbook and processes

You may be a good fit if:

• 5+ years enterprise sales experience
• Able to effectively manage across disparate stakeholder groups in customer organizations
• Comfort with presenting to and communicating with all levels of customer teams from ICs to C-level executives
• Experienced operating in fast-paced, technology start-ups, ideally in a previous sales role
• Comfortable in unstructured environments, and have a knack for bringing order to chaos
• A natural people person who is as comfortable working with customers as with internal stakeholders
• An excellent communicator
• Highly organized and a self-starter
• A structured thinker who can think analytically about market segments and prospective partners
• Have a passion for and/or experience with advanced AI systems, and feel strongly about ensuring these systems are developed safely

Annual Salary (USD)

• The expected salary range for this position is $200k - $380k.

Compensation and Benefits*

Logistics

Responsibilities

• Build and maintain infrastructure related to hardening systems against attacks against frontier AI models.
• Identify and assess systematic risk, and translate them into actionable tasks for the organization.
• Shape policies and procedures to embed security into product design, infrastructure, and employee practices.
• Lead our small but growing security engineering team to successfully deliver on team goals.
• Develop and track metrics to ensure security objectives are being met.
• Represent the security engineering team and build credibility for Anthropic's security posture.
• Collaborate with product, research, and infrastructure teams to integrate secure-by-default into their workflows and processes.

You might be a great fit if you have the following experience

• 15 years in the industry working on security, privacy, and/or engineering
• 4 years of management experience
• Enforcing security policies in an organization
• Communicating critical updates to organizational leaders
• Coordinating change management and company-wide announcements

Strong candidates may also

• Have experience in all three areas of security, privacy, and engineering
• Have experience supporting medium or large tech organizations
• Care about AI safety risk scenarios
• Have driven a new security program from beginning to live
• Have 8 years of management experience

Candidates need not have

• 100% of the skills needed to perform the job
• Formal certifications or education credentials

Annual Salary (USD)

• The expected salary range for this position is $375k - $450k

Compensation and Benefits*

Logistics

Responsibilities

• Partner with software engineers and researchers to implement a vision for a Secure Development Environment.
• Design and implement controls to secure a primarily open source software supply chain.
• Design and test software security architecture recommendations for existing and future systems.
• Perform internal penetration testing.
• Manage software vulnerability remediation program.

You might be a great fit if you have the following

• Experience building internal security tooling
• Experience designing control and sandboxing systems for AI research
• Fluency in at least one programming language, with preference for Rust, Python, or Javascript/Typescript
• Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
• Experience training developers in software security topics

Strong candidates may also

• Have experience supporting fast-paced startup engineering teams
• Care about AI safety risk scenarios

Candidates need not have

• 100% of the skills needed to perform the job
• Formal certifications or education credentials
• Machine learning experience or knowledge

Annual Salary (USD)

• The expected salary range for this position is $300k - $520k.

Compensation and Benefits*

Logistics

Responsibilities:

• Drive execution of multiple simultaneous, cross-functional projects and/or programs.
• Lead and manage strategic planning sessions and cross-functional prioritization.
• Lead program status reviews and prepare regular stakeholder and executive communications.
• Effectively set timelines and manage cross-functional project teams to deadlines through the proactive management of blockers, scope, shifting priorities, and risks.
• Interface with a variety of technical and non-technical stakeholders across Anthropic.
• Partner with Engineering Managers and other Technical Program Managers to improve the operational efficiency needs within teams.
• Effectively manage change, shift gears comfortably, decide and act without having the total picture, and handle risk and uncertainty.

You may be a good fit if you:

• Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders.
• Have experience executing technical programs that require systems and engineering-level knowledge.
• Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance.
• Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries.
• Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action around security initiatives, policies and procedures.
• Have a track record for being able to successfully organize, implement and manage complex programs and projects.
• Are used to working through trade-offs, balancing competing priorities, and having your mind changed.

Strong candidates may also:

• Have past experience as an engineer or similar technical role.
• Have 8 or more years of experience in Technical Program Management or similar technical role.
• Have past experience building a centralized Project Management Office (PMO).

Representative Projects:

• Contributing to initiatives related to the Security Commitments listed in Anthropic’s Responsible Scaling Policy.
• Partnering with the Developer Productivity team to improve Remote Development workflows.
• Partnering with cross-functional stakeholders to build a Third Party Risk Management program.
• Driving efforts related to Two Party Controls, Production Access Reduction, and Binary Allowlisting.
• Helping to establish our Security Operations Center (SOC).
• Driving efforts around risk management, product security, and other areas that improve the security of Anthropic.

Annual Salary (USD)

• The expected salary range for this position is $300,000 - $450,000

Responsibilities:

• Analyze large and complex data sets to detect abuse volumes and patterns and convert them into insights and trends
• Build statistically sound metrics to measure abuse and develop insights at scale
• Convert insights to actionable outcomes that reduce abuse
• Collaborate with product and engineering teams to set up data infrastructure that scales with Anthropic’s growth

You may be a good fit if you:

• Have a passion for the company's mission of building helpful, honest, and harmless AI
• Have 5+ years of experience on a high-performing analytics or data science teams
• Expert in SQL and proficient in Python / R and data visualization tools
• Proficient in statistical methods for building metrics that are robust and actionable
• Deep knowledge of abuse signals, anomaly detection, clustering methods for abuse detection
• Demonstrate bias for action and urgency, not letting perfect be the enemy of the effective
• Have a deep curiosity and energy for pulling the thread on hard questions
• Have highly effective written communication and presentation skills

Annual Salary (USD)

• The expected salary range for this position is $200k-$280k

Responsibilities:

• Lead a team of engineers building systems to detect and prevent fraud and abuse of Anthropic's AI services
• Implement systems to detect fraudulent accounts, spam campaigns, denial of service attacks, and other malicious usage
• Analyze usage patterns and develop protections against new methods of attack and evasion
• Work closely with data scientists to develop algorithms and signals for detecting threats
• Build self-service tools for customers to monitor and control access to AI services
• Lead process design around fraud response, including communicating threats and remedies across the organization
• Coach and mentor team members in their career growth

You may be a good fit if you:

• Have 5+ years in an engineering management role, leading teams building anti-fraud/abuse systems
• Have deep experience with techniques for bot detection, account fraud, rate limiting, captchas, and related security domains
• Have the ability to balance speed and precision when responding to attacks and evaluating risk
• Have excellent communication skills to explain threats and tradeoffs to stakeholders
• Have people management skills in coaching, recruiting, and developing engineers
• Have experience designing operational processes around on-call, post-mortems, etc.

Strong candidates may also:

• Have a background in building systems at scale with a focus on reliability and performance
• Have experience with AI/ML and understanding how models can be manipulated
• Have knowledge of common adversaries like spammers, fraud rings, and their evolving techniques
• Use technical depth to assess and improve system designs
• Have project management skills to balance priority tradeoffs

Responsibilities:

• Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system
• Improve our automated detection and enforcement systems as needed
• Analyze user reports of inappropriate content or accounts and build machine learning models to detect similar instances proactively
• Surface abuse patterns to our research teams to harden models at the training stage

You may be a good fit if you:

• Have 4+ years of experience in a data scientist, research scientist, or research/ML engineering position, preferably with a focus on security, spam, fraud, or abuse detection.
• Have proficiency in SQL, Python, and data analysis/data mining tools.
• Have proficiency in building behavioral classifiers or anomaly detection.
• Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
• Care about the societal impacts and long-term implications of your work.

Strong candidates may also:

• Have experience building trust and safety AI/ML systems, such as fraud detection or account integrity models
• Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
• Have experience with full stack engineering to build internal tooling
• Have experience with high performance, large-scale ML systems
• Have experience with language modeling with transformers
• Have experience with reinforcement learning
• Have experience with large-scale ETL

Annual Salary

• Anthropic has a collaborative engineering culture and provides competitive compensation. The expected salary range for this position is $300k - $450k USD.

Representative projects

• Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
• Build abuse detection mechanisms
• Surface abuse patterns to our research teams to harden models at the training stage
• Build multi-layered defenses for real-time improvement of safety mechanisms
• Analyze user reports of inappropriate content or accounts and build machine learning models to detect similar instances proactively.

Minimum Experience

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• 2-3 years of experience in a data analyst, data scientist, or software engineering position, preferably with a focus on security, spam, fraud, or abuse detection.
• Proficiency in SQL, Python, and data analysis/data mining tools.
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Recommended Experience

• Experience building trust and safety mechanisms for AI/ML systems, such as fraud detection models or security monitoring tools
• Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
• Experience with prompt engineering, jailbreak attacks, and other adversarial inputs
• Have worked closely with operational teams to build custom internal tooling
• Full stack engineering to build internal tooling

Annual Salary (USD)

• The expected salary range for this position is $300k - $450k.

Compensation and Benefits*

Logistics