Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role

Anthropic's Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.

You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.

Developer Experience

You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.

Beneficial Deployments

Beneficial Deployments Engineering brings Claude to organisations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programmes. We're looking for a full-stack engineer to build the access programmes, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.

Enterprise AI Products

You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps. Some of our focuses are:

• Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.

• Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.

• Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from 'Claude answers when asked' to 'Claude notices what you need'.

Vertical AI Products

Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:

• Financial Services , analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.

• Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product , and where compliance is part of the engineering.

• Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.

Enterprise Foundations

You'll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns 'we love the demo' into a signed enterprise deal. The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.

Growth

Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.

You might be a good fit if you:

• Have a minimum of 5 years of practical full-stack engineering experience

• Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack

• Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)

• Take a product-focused approach to building solutions that are robust, scalable, and easy to use

• Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1

• Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority

• Have experience establishing engineering standards, component architectures, and development best practices

• Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$320,000 USD

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Anthropic's Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.

You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.

Developer Experience

You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers.

You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.

Beneficial Deployments

Beneficial Deployments Engineering brings Claude to organisations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.

Enterprise AI Products

You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.

Some of our focuses are:

• Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.

• Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.

• Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from 'Claude answers when asked' to 'Claude notices what you need'.

Vertical AI Products

Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:

• Financial Services , analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.

• Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product , and where compliance is part of the engineering.

• Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.

Enterprise Foundations

You'll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns 'we love the demo' into a signed enterprise deal. The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.

Growth

Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base!

As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.

XML job scraping automation by YubHub

Anthropic's Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.

You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.

Developer Experience

You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers.

You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.

Beneficial Deployments

Beneficial Deployments Engineering brings Claude to organisations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programmes. We're looking for a full-stack engineer to build the access programmes, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.

Enterprise AI Products

You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps. Some of our focuses are:

• Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.

• Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.

• Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from 'Claude answers when asked' to 'Claude notices what you need'.

Vertical AI Products

Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:

• Financial Services , analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.

• Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product , and where compliance is part of the engineering.

• Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.

Enterprise Foundations

You'll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns 'we love the demo' into a signed enterprise deal. The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.

Growth

Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.

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Location

Washington, DC; San Francisco; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

OpenAI for Gov

Compensation

• $145.8K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety.

About the role

Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams.

You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap.

This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers.

In this role you will

• Own technical delivery across multiple government deployments, from first prototype to stable production.
• Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications.
• Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact.
• Proactively guide customers on maximizing business and operational value from their applications.
• Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale.
• Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality.
• Contribute directly in the code when clarity or momentum depends on it.
• Codify working patterns into tools, playbooks, or building blocks others can use.
• Share field feedback with Research and Product to influence model and product development.
• Keep teams moving through clarity, judgment, and consistent follow-through.

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
• Active TS/SCI clearance or equivalent
• Have scoped and delivered complex systems in fast-moving or ambiguous contexts.
• Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks.
• Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure.
• Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences.
• Spot risks early, adjust without slowing down, and model calm judgment when stakes are high.
• Are humble, collaborative, and eager to help others with empathy.
• Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we are committed to researching and developing AI in a responsible way.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $162K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of our models inside financial services organizations from banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have experience with the financial services industry and/or investment lifecycle

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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