Description
About the Role
In this role, you will lead the People Products team in defining the blueprint for AI at work. You will 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.
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
- 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.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.