Description
About the Role
In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. 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. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job.
Responsibilities
- Build full-stack end-to-end across the People Products portfolio.
- Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll 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: you’re 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.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings.
How we’re different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single, unified team to advance the state of the art in AI. We believe that the best way to do this is to work together, share knowledge, and collaborate on the most important problems.