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Engineering Manager, People Products

Anthropic PBC - San Francisco, CA

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Job Description

Responsibilities- Build full-stack end-to-end across the People Products portfolio.- Design and implement AI-native workflows: build tools, evals, prompts, and products. Youll help define what is possible in applied AI for people processes.- Work directly with internal stakeholders HR teams, recruiters, managers to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.- Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.- Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. You Might Be a Good Fit If You:- Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments- Derive joy from hard work and the act of creation.- 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: youre comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.- Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.- Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better. Strong Candidates May Also Have:- 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.The annual compensation range for this role is listed below.For sales roles, the range provided is the roles On Target Earnings (

Created: 2026-03-07

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