Staff Software Engineer (People Products)

Join Anthropic, a rapidly growing AI company, as a Staff Software Engineer on the People Products team. You will work on defining the blueprint for AI at work, covering the entire employee lifecycle from hiring to promotions. You will have high autonomy, make independent product and architecture decisions, and contribute ideas for team operations and applied AI in people workflows. Benefits include comprehensive health insurance, paid parental leave, flexible time off, competitive salary and equity packages, and more.

• Concevoir et mettre en œuvre des flux de travail natifs à l'IA : construire des outils, des évaluations, des invites et des produits.
• Travailler directement avec les parties prenantes internes — équipes RH, recruteurs, managers — pour comprendre les problèmes, recueillir des commentaires et itérer rapidement.
• Prendre des décisions de produit et d'architecture de manière indépendante dans un environnement à faible structure : savoir quand réduire la portée, quand expédier et quand demander des conseils.
• Derive joy from hard work and the act of creation
• Are experienced enough to build big features independently, and make great architectural decisions along the way
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly
• Have shipped LLM-native features or applications
• 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
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure
• Background at an AI-native company or in a product-focused 0->1 engineering environment
• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling