Staff+ Software Engineer, Full-stack

About the role\nAnthropic'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.\n\nYou'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.\n\nWe’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.\n\n## Responsibilities\nDeveloper Experience:\n\nYou'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.\n\nOur mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API.\n\nThat 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.\n\nYou'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.\n\nBeneficial Deployments:\n\nBeneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.\n\nWe're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.\n\nEnterprise AI Products:\n\nYou'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.\n\nOn this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.\n\nSome of our focuses are:\n\n- Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\n\n- Context , enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows.\n\nA connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\n\n- Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use.\n\nMoving from "Claude answers when asked" to "Claude notices what you need".\n\nVertical AI Products:\n\nPurpose-built experiences for specific industries where Claude can transform complex professional work.\n\nWe're currently building for three verticals, with more to come:\n\n- Financial Services , analysts and bankers building models, memos, and decks under deadline.\n\nWe're building retrieval, analysis, and document generation that holds up to executive review.\n\n- Healthcare , clinical documentation, prior auth, and care coordination.\n\nWork where accuracy isn't a feature, it's the whole product , and where compliance is part of the engineering.\n\n- Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.\n\nEnterprise Foundations:\n\nYou'll build the systems large organizations 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.\n\nThis is the work that turns "we love the demo" into a signed enterprise deal.\n\nThe role is part product, part platform.\n\nYou'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.\n\nGrowth:\n\nDrive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations.\n\nAt Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base!\n\nAs a member of the growth team, you will have a unique opportunity to shape our growth strategy.\n\nYou will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.\n\n## Requirements\n\n- Have 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level\n\n- Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack\n\n- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)\n\n- Take a product-focused approach to building solutions that are robust, scalable, and easy to use\n\n- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1\n\n- Care deeply in investing in the mentorship and growth of your peers\n\n- Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority\n\n- Have experience establishing engineering standards, component architectures, and development best practices\n\n- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products\n\n## Nice to Have\n\n- Experience with React and frontend frameworks\n\n- Experience with REST APIs\n\n- Hands-on experience with LLMs, prompt engineering, or building AI-native product features , and an intuition for where models are reliable vs. where they need guardrails\n\n- Experience building developer-facing products, APIs, or tooling, with a feel for what good developer experience looks like\n\n- Prior work on growth, activation, or experimentation , A/B testing, funnel analysis, and a data-driven approach to product iteration\n\n- Domain depth in a regulated or mission-critical context: enterprise, healthcare, legal, financial services, or accessibility-focused products where quality and compliance constraints are real