Staff+ Software Engineer, People Products

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.

The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly.

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products.
• Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly.
• Make product and architecture decisions independently in a low-structure environment.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

• Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism.
• Are genuinely mission-driven.
• Are a collaborative, supportive teammate.

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.