About Anthropic
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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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 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.
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
Focus Areas
Developer Experience: Build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Turn Claude\'s newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments: Build access programs, tooling, and product work that make frontier AI usable for organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.
Enterprise AI Products: Work on products that make Claude a daily-use tool for enterprise customers across industries. Understand why Enterprise users aren\'t activating, what\'s blocking adoption, and build capabilities to close those gaps. Focus areas include:
- Extensibility — plugins, skills, connectors, and the MCP ecosystem to shape Claude around specific workflows
- Context — enterprise knowledge, organizational memory, and retrieval to make Claude aware of a company\'s people, documents, and workflows
- Proactivity — cowork suggestions, workflow capture, ambient Claude inside the apps people use
Vertical AI Products: Purpose-built experiences for specific industries. We\'re currently building for three verticals with more to come:
- Financial Services — analysts and bankers building models, memos, and decks with retrieval, analysis, and document generation
- Healthcare — clinical documentation, prior auth, and care coordination; compliance is part of the engineering
- Legal — contract analysis, document review, and matter management
Enterprise Foundations: Build systems large organizations require before adopting Claude at scale: identity and permissions, security and compliance controls, and admin analytics. This work turns interest into enterprise deals and spans Claude.ai, Claude Code, and Cowork.
Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. Shape growth strategy with cross-functional teams to scale our AI-powered tools.
You Might Be a Good Fit If You (cont.)
- Have experience working in roles that combine product and engineering with a growth mindset
- Are comfortable in ambiguous, fast-moving environments and can ship high-quality work
Other Details
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.
Annual Salary: $320,000—$320,000 USD
Logistics
Minimum education: Bachelor’s degree or equivalent experience
Required field of study: A field relevant to the role
Minimum years of experience: As required by internal job level
Location-based hybrid policy: Currently, employees are expected to be in one of our offices at least 25% of the time.
Visa sponsorship: We sponsor visas where possible and will assist with the process when making an offer.
EEO statement: We encourage you to apply even if you do not meet every qualification; diverse perspectives are valued and safety matters are important. We will not disclose sensitive information in the process.
Safety: To protect yourself from scams, recruiters will contact you only from @anthropic.com domains and will not ask for money, banking information, or fees before your first day.
How We\'re Different: We pursue high-impact AI research as a cohesive team with emphasis on outcomes, collaboration, and strong communication. Our research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, and related areas.
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