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Staff Software Engineer, People Products

Anthropic
Hybrid - San Francisco, CA (in-office ≥25%)Updated 30d ago
Compensation
$320k–$405k
Published range · Top quartile for Engineering (741 listings)
Location
Hybrid - San Francisco, CA (in-office ≥25%)
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Engineering
AI / ML
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About the job

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The team is a quickly growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

The People Products team supports Anthropic's mission by defining the blueprint for AI at work, covering 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 genuinely unsolved problems, moving from prototype to production in days or weeks.

Responsibilities

  • 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 and where applied AI can have the most leverage in people workflows.

Qualifications

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; shipped LLM-native features or applications; self-sufficient end-to-end from idea to production; comfortable engaging directly with users and criticism; mission-driven; collaborative and supportive teammate.

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.

Compensation

Annual Salary: $320,000—$405,000 USD.

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Location-based hybrid policy: all staff are expected to be in one of Anthropic's offices at least 25% of the time. Visa sponsorship is offered.

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