About the Role

Anthropic is bringing Claude to democracies worldwide, and we’re looking for startup-minded engineers to build out our public sector engineering team. Engineers in this role will be working across the stack to scale our products from 0 to 1 and beyond. 

While we’re looking for candidates with prior public sector experience, we are also excited about hiring product-minded engineers with a track record of building and scaling products. There’s no shortage of things to build, so startup experience will help in maintaining a sharp focus and plotting an optimal path forward. This role is full-stack and entrepreneurial: you’ll own projects such as building out deployments for new government customers, implementing products to better surface critical information, and working directly with customers to understand how we can best leverage and adapt Claude to power their workflows.

You’d be joining at an exciting inflection point where we are evolving past deployments of basic Claude access for the public sector and toward cutting-edge AI capabilities and a comprehensive public sector experience. The projects the team tackles enables governments to deploy AI applications for their most critical operations—from national security to public services. As the team continues to grow, our focus includes delivering solutions that directly influence how democratic institutions deploy and use advanced AI systems.

Core Responsibilities

• Build specialized AI applications and products for governments by developing deep understanding of their processes and workflows

• Take ownership of architecting new deployments and designing public sector specific features

• Collaborate closely with research on AI models for government applications and workflows

• Partner directly with government customers and internal go-to-market teams to translate requirements into technical and product roadmaps

• Design and build scalable systems for deployment, user management, and administrative controls

• Create clarity and technical direction in a fast-moving environment with unique constraints

You Might Be a Good Fit If You:

• Have 8+ years of experience as a full stack software engineer

• Experience integrating and working with AI/ML models and understanding their capabilities

• Strong technical background with proven success building and shipping enterprise or government-grade products

• Have excellent collaboration skills, with ability to work effectively across functions

Strong Candidates May Also Have:

• Startup experience, particularly in scaling products from zero to one

• Experience partnering with sales, customer success, and professional services teams to drive product adoption

• Experience delivering software to government networks

• Active federal security clearance (Secret or above)

This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance.

About the role

A growing ecosystem of partners is building products on top of Claude. We're hiring an Engineering Manager to expand our Marketplace Platform. You'll shape the platform capabilities of a product surface that spans customer-facing discovery, partner-facing self-serve tooling, the business logic that orchestrates deals between them, and the authentication layer that lets users move seamlessly between Claude and partner products. This is a 0→1 role with a broad mandate and tight integration seams across several other platform teams.

About the team

The team owns a new product layer within the Platform organization. Its scope spans the customer-facing surfaces where enterprises engage with the broader Claude ecosystem, the partner-facing surfaces that support companies building on Anthropic's platform, and the workflows and orchestration that sit between them. The team builds on top of identity, tenancy, authorization, and billing primitives owned by other platform teams rather than rebuilding them — a meaningful part of the role is making those seams clean and durable as the product grows.

Responsibilities

• Form the team - hire the founding engineers, set the technical direction, and establish how the team operates
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
• Partner with product and design to shape the roadmap - not just execute against it
• Work directly with enterprise customers and ecosystem partners alongside the go-to-market organization, joining key conversations and turning what you learn into engineering priorities
• Manage the integration seams with billing, auth & identity, and other platform teams — coordination across these boundaries is one of the largest sources of timeline risk
• Drive the platform-readiness work this product layer requires, partnering with security, legal, and operations as self-serve capabilities displace manual ones
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have taken a product or platform from 0 to 1 - formed a team, made the early architectural calls, and shipped the first version with limited precedent to lean on
• Are a skilled engineering manager who treats management as a craft with clear feedback, strong 1:1s, consistent investment in your team's growth
• Have led teams whose work sits at the seams between other teams, and understand that coordination quality is often the bottleneck
• Are comfortable working with customers and partners directly, and joining conversations alongside sales, customer success, and business development

Strong candidates may also have

• Experience building multi-sided platforms or partner ecosystems at enterprise scale
• Background designing the business logic and orchestration around financial systems without owning the financial primitives themselves
• Experience shipping authentication and integration products from a developer-experience perspective
• Background building self-serve tooling that displaces manual operations as volume grows
• Experience with products where customer-facing and partner-facing surfaces evolve in parallel and need to stay coherent

About the role

As Claude reaches more people — individuals, businesses, developers building on our APIs, and platforms building on top of those — knowing who's on the other side of a request becomes foundational to running our products responsibly. Passport is the team building that capability: a centralized identity, verification, and trust-grant platform.

We're hiring an Engineering Manager to build our Passport team. You'll expand the early team, define the architecture, and ship the first version of a platform that touches Claude.ai, our first-party APIs, and the third-party platforms built on top of them. This is a role with an unusually broad surface area: identity verification flows, a centralized trust graph, integration with our Safeguards organization, and a user-facing portal — all on the critical path for how Anthropic scales access to Claude safely.

About the team

Passport will own the customer verification and trust stack across Anthropic's products. The team's scope includes the entry flows customers go through to establish identity, a centralized model for coordinating and managing access, integration with review processes and the user-facing surfaces customers use to manage their trust across connected products. The team sits close to the product surfaces it serves and works closely with our safeguards, platform, and product organizations.

Responsibilities

• Establish the Passport team as a high performing contributing team to our wider model safety efforts — hire the early team, set the technical direction, and establish how the team operates
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response on a system that's on the critical path for every Claude product
• Partner with safeguards, product, and design to shape the roadmap — and make the integration between automated decisions and human review work end-to-end
• Work directly with customers and the go-to-market team on verification and trust requirements, joining key conversations and turning what you learn into engineering priorities
• Drive the compliance and platform-readiness work customers and regulators require, partnering with security, legal, and the broader platform organization
• Coordinate across the product teams that depend on Passport, making migrations and integrations land cleanly
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have taken a product or platform from 0→1, making early architectural calls, and shipping the first versions with limited precedent to lean on
• Are a skilled engineering manager who treats management as a craft — clear feedback, strong 1:1s, consistent investment in your team's growth
• Have led teams building systems that other teams depend on, and understand the discipline that comes with being on someone else's critical path
• Are comfortable working with customers and joining conversations alongside sales, customer success, and safeguards partners

Strong candidates may also have

• Experience building customer verification or identity systems, including working with third-party verification providers
• Background designing centralized policy or trust systems where decisions propagate across many downstream surfaces
• Experience building trust & safety tooling, including the platform-side integration of human review into automated decisioning
• Experience with multi-tenant platforms consumed by first-party apps, direct API customers, and third parties building on top
• Background owning compliance and regulatory work within an engineering org
• Experience with user-facing portals for account verification, trust, or compliance flows

About the role:

We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. 

You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational 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. 

What you'll do: 

Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. You'll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines. You’ll partner closely with product teams to understand their development workflow and eliminate friction points. Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission.

Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.

Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.

Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.

Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.

Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows. We work closely with research on training methods and with agent platform teams on data paths. Relevant experience: ML training infra, production ML pipelines, backend engineering. Finetuning experience is a plus.

You might be a good fit if you:

• Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent 
• distributed systems, cloud-native products, developer tools, or external developer facing products
• Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end 
• Are proficient in Python, Go, Rust, or similar systems languages
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking 
• Take full ownership of your work—from design through deployment and operations
• Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings 
• Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
• Care about building systems that other engineers love to use

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 team. 

About the role

Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.

We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.

What you’ll do

• Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.

• Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.

• Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.

• Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.

• Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.

• Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.

• Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.

• Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.

You may be a good fit if you

• Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead

• Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.

• Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.

• Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.

Strong candidates may also have

• Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.

• Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.

• Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.

• Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.

• Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

About the role:

We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential.

Key Responsibilities:

• Architect and implement cutting-edge Android applications
• Develop novel solutions leveraging AI technologies
• Optimize performance at all levels of the mobile stack
• Champion best practices in mobile development
• Obsessive attention to detail and app experience
• Contribute to backend systems as neede

Minimum Qualifications:

• Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem
• Proficiency with the latest mobile platform capabilities and intricacies
• Practical experience with full-stack development and comfort working with backend technologies
• A track record of shipping impactful, high-adoption mobile applications
• Strong communication and mentorship skills
• Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates

Preferred Qualifications:

• 0-to-1 experience building successful products in early-stage environments
• Experience building applications that utilize modern ML/AI technology
• 3D graphics, visual effects, and audio and video streaming on mobile
• A vision for the future of human-machine interaction and a drive to make that vision a reality

About the role

Anthropic's Verticals team builds AI products purpose-built for specific industries—financial services, life sciences, healthcare, and legal. Most of these teams are being built 0→1 right now: you'll be forming the team, defining the product, and shipping the first version in markets where no one has done this well yet. Where we're further along, products are already live with enterprise customers and growing fast.

We're hiring Engineering Managers to lead the teams building Claude for Financial Services, Life Sciences, and Healthcare. You'll lead a team shipping AI into professional workflows—owning execution, working directly with customers and go-to-market, and helping shape where the broader Verticals group goes next.

We're hiring for all four verticals through this posting. Team placement happens during the interview process based on your background, interests, and organizational need—if you have deep experience in one of these domains, let us know in your application.

About the teams

• Claude for Financial Services — Builds products for customers in investment banking, asset management, insurance, and corporate finance. Near-term work centers on deeply integrated experiences inside the tools these teams already use, with a roadmap expanding as we learn what's most useful. The team operates close to enterprise customers and close to research.
• Claude for Life Sciences — We're building an agentic research platform for scientists—orchestrating specialist agents for computational biology, literature review, and regulatory review—on top of model capabilities we're investing in for biology and chemistry. The product is live with early customers and expanding fast; you'll lead engineering through that growth
• Claude for Healthcare — We're earlier here: standing up a team to build 0→1, focused initially on payer workflows (claims, prior authorization, utilization management, member communications), with groundwork for clinical applications over time. You'll be defining the product and the team at the same time.

Responsibilities

• Lead and develop a team of engineers building new AI products for enterprise customers in your vertical
• Work closely with research to make the models better in your domain—shaping evals, surfacing failure modes, and feeding customer learnings back into model development
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
• Partner with sales and customer success on enterprise deals—understanding requirements, joining key conversations, and turning what you learn into engineering priorities
• Shape the roadmap with product and design, not just execute against it
• Drive the compliance and platform-readiness work your customers require, partnering with security and legal
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have built AI products and have a practical understanding of what it takes to turn model capabilities into applications people actually use
• Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
• Know the operational realities of building on platforms and integrations you don't control
• Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth

Strong candidates may also have

• Experience in working with research to improve domain specific model capabilities
• Experience with model evaluation frameworks and how evals inform product decisions
• Experience taking a product from 0→1—forming a team, finding product-market fit, and shipping the first version with limited precedent to lean on
• Deep domain knowledge in one of these verticals—investment banking, asset management, insurance, or corporate finance; drug discovery or computational biology; clinical operations, health systems, or payers; or legal practice or legal tech
• Direct experience with the compliance frameworks relevant to these industries, including owning that work within an engineering org
• Exposure to both product-led growth and direct enterprise sales, and an understanding of how engineering decisions interact with each

Representative projects

• Partnering with an enterprise customer to map a core workflow—a deal-documentation process, a target-identification pipeline, a prior-authorization queue—and turning it into an engineering roadmap with a new or existing AI product
• Collaborating with research to design an evaluation framework that gives reliable signal on output quality across your domain's use cases
• Owning a platform-readiness initiative end-to-end—scoping with legal and security, defining the engineering work, and shipping it

About the design team

Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet.

Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity.

We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection.

Read more here for the type of features we build. 

Responsibilities:

• Contribute to the strategic direction of our tools, rooted in deep user empathy
• Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows
• Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology
• Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps
• Rapidly prototype ideas using code and other methods to communicate concepts and build excitement
• Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment

Specific projects & responsibilities depend on the team staffing, which we’ll talk about once we’ve seen some more of your work and understood your strengths & interests. A few examples across teams:

• Claude Cowork: Pioneer new ways for Claude to be a true partner in people’s day to day lives that can access your tools, ask for feedback, help you prep for your day, and more; Build expertise in industries like education, financial services, and healthcare to design intuitive experiences that help people leverage AI at work in transformative ways.
• Claude Code: Evolve our industry-leading coding tool, across terminal and Desktop, to deepen the breadth and depth of agentic coding.
• Growth: Design intuitive onboarding flows that help new users get started quickly, understand Claude's capabilities, and achieve their goals in the first session; Uncover barriers that prevent users from getting the most out of Claude and create experiences that empower them to make it a trusted part of their routine.
• Developer Platform: Support frontier capabilities and API features via tooling, workflows, and documentation; Define the future suite of utilities for developers to confidently build, monitor and control agentic systems.
• Consumer: Evolve the Claude mobile app, with a focus on being genuinely helpful for people’s everyday lives: learning, creative projects, personal planning and problem-solving — with an emphasis on quality & safety. 

What we’re looking for:

• You ship fast and stay in motion. You'd rather get something in front of users this week than perfect it for a month. You prototype in code, stay scrappy when speed matters, and know when to polish versus when to learn.
• You're rethinking the basics. Many UI primitives were designed for a different era. You're excited to question fundamental assumptions and invent patterns that feel native to AI.
• You're AI-native in how you work. You're already using Claude Code or similar tools to extend what you can build. You see AI as a creative partner in your own practice.
• You stay close to the models. You pay attention to where capabilities are heading, not just what Claude can do today. You design for the product we're becoming.
• You elevate craft while moving fast. You care about the details—the pixels, the copy, the edge cases—and find ways to maintain that care while shipping quickly.

You may be a good fit if you have:

• Experience designing complex workflows, enterprise/B2B SaaS, developer tools, or API products 
• Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms
• Proven track record of executing end-to-end on large and complex products or a series of products in ambiguous environments
• Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority
• Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities
• Experience with prototyping, especially using front-end code (e.g. HTML/CSS/JS) preferred

About the Role:

Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational 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:

API Core: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.

API Capabilities: You'll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use. You'll launch new models and ship the primitives that make Claude more capable with every release. You'll partner directly with research and inference to productionize what's next.

API Knowledge: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.

Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.

API Agents: You'll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API. You'll help developers with agent orchestration through capabilities like tool use, multi-step reasoning, and long-running task execution that allow Claude to take actions and accomplish complex goals on behalf of users. You'll partner with research to bring cutting-edge agent capabilities to production.

Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.

Passport: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.

You Might Be a Good Fit If You:

• Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent 
• Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution
• Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products
• Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems
• Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use
  Care deeply about investing in the mentorship and growth of your peers
• Have experience with distributed systems, API design, and cloud infrastructure at scale
• Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward

About the Role

We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.

Responsibilities

• Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team

• Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap

• Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years

• Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion

• Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them

• Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale

• Partner with research leads to translate ambiguous research questions into durable engineering solutions

• Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health

You may be a good fit if you:

• Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization

• Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams

• Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates

• Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability

• Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction

• Are a power user of agentic coding tools with deep intuition about model capabilities and limitations

• Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly

• Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of

• Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both

Strong candidates may also have experience with:

• Designing or scaling eval/evaluation frameworks for ML systems

• Reinforcement learning infrastructure or training systems

• Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm

• Research computing, scientific infrastructure, or developer platforms at scale

• A strong quantitative foundation (math, physics, or related fields) 

• Expertise in Python and TypeScript

About the role

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy.

This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production.

Responsibilities

• Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.

• Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.

• Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.

• Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.

• Mentor and develop Staff-level engineers across the org.

• Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.

You may be a good fit if you:

• Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.

• Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.

• Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.

• Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.

• Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.

• Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.

Technical Stack

• Languages: Python, TypeScript

• Frameworks: FastAPI, React

• Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure

• Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore

• Tools: Feature Flagging, Prometheus, Grafana, Datadog

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

Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.

About the Role

We’re looking for prompt and context engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilities and real product experience, working with product teams to build consistent, safe, and beneficial user experiences across all product surfaces.

You will be deeply involved in new product feature and model releases at Anthropic, combining engineering expertise with an understanding of frontier AI applications and model quality. You’ll become an expert on Claude’s behavioral quirks and capabilities and apply that knowledge to deliver the best possible user experience across models and domains. You’ll be the first resource for product teams working on Claude’s AI infrastructure: system prompts, tool prompts, skills, and evaluations.

This role requires someone who can effectively balance caring deeply about making Claude the best it can be while also supporting a wide variety of concurrent projects and efforts across many product teams.

Key Responsibilities

• Prompt Engineering Excellence: Design, test, and optimize system prompts and feature-specific prompts that shape Claude’s behavior across consumer and API products.
• Evaluation Development: Build and maintain comprehensive evaluation suites that ensure model quality and consistency across product launches and updates.
• Cross-functional Collaboration: Partner closely with product teams, research teams, and safeguards to ensure new features meet quality and safety standards.
• Model Launch Support: Play a critical role in model releases, ensuring smooth rollouts and catching regressions before they impact users.
• Infrastructure Contribution: Help build and improve the frameworks and tools that allow teams to develop and test prompts and features with confidence.
• Knowledge Transfer: Mentor product engineers on prompt engineering best practices and help teams build their first evaluations.
• Rapid Iteration: Work in a fast-paced environment where model capabilities advance daily, requiring quick adaptation and creative problem-solving.

What We’re Looking For

Required Qualifications

• 5+ years of software engineering experience with Python or similar languages.
• Demonstrated experience with LLMs and prompt engineering (through work, research, or significant personal projects).
• Strong understanding of evaluation methodologies and metrics for AI systems.
• Excellent written and verbal communication skills – you’ll need to explain complex model behaviors to diverse stakeholders.
• Ability to manage multiple concurrent projects and prioritize effectively.
• Experience with version control, CI/CD, and modern software development practices.

Preferred Qualifications

• Experience with Claude or other frontier AI models in production settings.
• Background in machine learning, NLP, or related fields.
• Experience with A/B testing and experimentation frameworks (e.g., Statsig).
• Familiarity with AI safety and alignment considerations.
• Experience building tools and infrastructure for ML/AI workflows.
• Track record of improving AI system performance through systematic evaluation and iteration.

You Might Thrive in This Role If You…

• Get excited about the nuances of how language models behave and love finding creative ways to improve their outputs.
• Enjoy being at the intersection of research and product, translating cutting-edge capabilities into user value.
• Are comfortable with ambiguity and can define success metrics for novel AI features.
• Have a strong sense of ownership and drive projects from conception to production.
• Are passionate about building AI systems that are helpful, harmless, and honest.
• Thrive in collaborative environments and enjoy teaching others.

About the role

Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and that revenue runs through Billing Platform. The Product Monetization team builds the on-rails that let every product team at Anthropic — Claude.ai, the Developer Platform, Claude Code — monetize features and convert users into paying customers without becoming billing experts themselves. The faster product teams can ship and charge, the faster Anthropic can fund the mission.

We're looking for an Engineering Manager to lead this team. You'll own the platform layer where product meets revenue: the integration contracts product teams plug into, the constructs that let the business run pricing experiments, the self-serve and promotional capabilities Growth builds on, and the payment methods that open up global markets. You'll partner closely with Growth, Safeguards, Legal, and the core Billing Infrastructure team, and work tightly with Customer Support to continuously improve the billing experience for customers.

What you'll do

• Lead and grow a team of engineers building the revenue-enablement platform — hiring, coaching, and setting a high technical bar.

• Build the on-rails: clean billing API abstractions and integration contracts so product teams can onboard and launch paid SKUs seamlessly, without billing logic leaking into their stack.

• Define and own the platform's reliability bar — tiered SLOs and SLAs organized by customer impact: error budgets on the "can the customer do the thing" flows, quality targets on everything else.

• Build the platform constructs that let the business run pricing experiments and iterate on monetization models with real data.

• Partner closely with Growth — own the promotional, trial, and self-serve billing platform they build campaigns on top of. Your team owns the platform; Growth owns the campaigns.

• Expand payment method coverage globally, driving up authorization rates and conversion in markets where default card flows underperform.

• Ship new monetization models that keep pace with how the product portfolio evolves.

• Drive down time-to-market for new SKUs and product launches — the team's core input is "product team needs to charge for X," and your job is to make that fast.

You may be a good fit if you

• Have 3+ years of engineering management experience, with 8+ years total in the industry.

• Have led teams building payments, billing, subscription, or monetization systems — and know firsthand how a small pricing change ripples through the whole stack.

• Have strong opinions about platform boundaries and API design.

• Are good at cross-functional work — Growth, Legal, Customer Support, Safeguards, and product teams will all have opinions and you need to keep them aligned.

Strong candidates may also have

• Direct experience with modern billing and payment platforms — and opinions on when to build vs. buy.

• Built or scaled local payment method adoption for international markets.

• Run a promotional/offers platform that fed directly into growth or subscription conversion funnels.

• Experience in a PLG or self-serve SaaS environment where billing UX is a conversion lever, not an afterthought.

• Managed teams through regulatory or compliance-heavy work (consumer financial terms, tax, etc.).

About the Role

Anthropic is looking for an Engineering Manager to lead the Agent Prompts & Evals team. This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence — the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.

When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.

The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.

You don’t need a research background, but you do need to want to learn how to measure things like “is Claude being too sycophantic” or “did web search get worse.” The best version of this role is someone who’s built strong platform or devtools teams before and is excited to apply that skillset to a domain where the thing you’re measuring is a language model.

Responsibilities

• Lead and grow a team of prompt engineers and platform software engineers

• Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship

• Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces

• Be a steady hand through model launches — these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic

• Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure

• Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior

• Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them

• Push the team toward measuring things that are hard to measure — behavioral drift, prompt quality, harness parity — not just things that are easy

You May Be a Good Fit If You Have

• 8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers

• A track record of building “pits of success” — tooling and process that made it easy for other teams to do the right thing without needing to understand all the details

• Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once

• Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs — you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.

• A product mindset and willingness to wear multiple hats when the work calls for it

• Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives — negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it

• Experience recruiting and closing senior ICs in a competitive market

Strong Candidates May Also Have

• Prior exposure to LLM evals, ML experimentation platforms, or model quality work — even tangentially

• Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems

• Background in devtools, CI/CD platforms, or testing infrastructure at scale

• A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability

• Interest in AI safety and alignment — not required, but it makes the “why” of the work land harder

About the Role

We're looking for desktop app engineers to join our Claude product team and help build native applications that harness the transformative power of advanced language models. Your mission will be to package our AI capabilities into elegant desktop experiences that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, and product specialists to design and implement key components that bridge our AI technology with intuitive user interfaces. Join us in this exciting mission to transform how people engage with our AI technology and unlock new realms of human potential.

Today, our app is mostly web-based – but we’re eager to build the best possible version of Claude for macOS and Windows with a mix of both native and web technologies. You might be a great fit for this role if you’re up for the challenge of learning multiple programming languages.

We are more interested in strong engineers excited to learn new languages and technologies to build the best possible experience than we are looking for people with hands-on experience in Chromium, Electron, C++, or the various native macOS and Windows APIs. We believe that strong engineers can learn whatever technology is best suited to build the best possible experience – and we understand that even the best engineers will have little experience with one of the operating systems and areas we’d like to invest in. 

We’re looking for curious engineers excited to figure out, with us, what AI on the desktop could do.

Responsibilities:

• Develop and maintain the core infrastructure and features within Claude.ai and in our Electron-based desktop app using a typical web stack (TypeScript, React)
• Use native code (Rust, Swift, C++) to bring advanced features to the desktop app, connecting Claude to macOS and Windows
• Optimize application performance, memory usage, and startup time across platforms
• Design and build robust update mechanisms and deployment pipelines
• Create monitoring tools to track application performance and user experience
• Build a strong intuition for how advanced LLMs could be most useful on your computer, augmenting humans in their work

You may be a good fit if you have:

• Have 5+ years of experience as a software engineer, with strong emphasis on desktop application development
• Have practical experience with Electron and deep understanding of its architecture
• Possess strong JavaScript/TypeScript skills and experience with modern frontend frameworks
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
• Have experience with native module development in C++ to extend application capabilities
• Understand macOS and/or Windows platform-specific technologies and development patterns
• Have experience with cross-platform application packaging, code signing, and distribution
• Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams

We’re working with a large number of technologies - and you might be an excellent candidate even if you’ve only worked with a subset of them. An ideal candidate may have never used Electron before but does have hands-on experience in working with Chromium’s C++. Similarly, a great candidate may have worked on Electron apps, but hasn’t used C++ or Swift before.

We understand that even the best engineers will have more experience with some platforms than others.

Strong candidates may also have experience with:

• Experience working on and building operating systems, browsers, or deeply OS-integrated software (screensharing, video-calling, game engines, etc)
• Experience integrating and working with AI/ML models and understanding their capabilities
• Demonstrated success implementing cross-platform development strategies
• Vision for the future of AI-powered desktop applications and a drive to make that vision a reality
• Have experience with IPC (Inter-Process Communication) and security in desktop applications

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

About the Role

We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up.

This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast.

Responsibilities

• Prototype and build new AI-powered products for cybersecurity

• Iterate quickly based on customer feedback and what you learn

• Collaborate with research teams to identify and develop new model capabilities for security applications

• Engage directly with customers and partners to understand workflows and inform product direction

You may be a good fit if you:

• Have 7+ years of experience as a software engineer

• Experience developing cybersecurity products

• Enjoy fast iteration and are energized by prototyping new ideas

• Have strong product instincts and enjoy defining what to build, not just how to build it

• Are comfortable working closely with research and go-to-market teams

• Have strong communication skills and can work effectively across functions

Strong candidates may also have:

• Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields

• Experience working with AI/ML models and building products on top of them

• Experience building agentic applications

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