Anthropic
Staff+ Software Engineer, People Products
$405K–$485K
Remote-Friendly (Travel Required) +2 · Remote · Staff · Full-time · Posted Feb 12, 2026
- Location
- Remote-Friendly (Travel Required)
San Francisco, CA
Remote-Friendly US (Travel Required) - Experience
- 8+ years of relevant experience as a full-stack or product engineer. The logistics section also says years required correlate with internal job-level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience. Relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic says it will make every reasonable effort to obtain a visa and provides immigration-lawyer support.
About the job
Build and ship full-stack, AI-native products and workflows that support Anthropic’s employee lifecycle, from hiring and onboarding to teamwork and promotions.
What you'll do
- Develop full-stack features across the People Products portfolio, including tools, evaluations, prompts, and products.
- Work directly with HR teams, recruiters, managers, and other internal stakeholders to identify needs, gather feedback, and iterate.
- Make product and architecture decisions independently and contribute ideas on applying AI to people workflows.
What they ask for
- 8+ years of relevant experience as a full-stack or product engineer, with a track record leading complex, multi-month projects or teams as a tech lead or equivalent.
- Have shipped LLM-native features or applications.
- Able to build substantial features independently and make architectural decisions.
- Minimum education: bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
Nice to have
- Familiarity with MCP (Model Context Protocol) or production Claude/LLM integrations.
- Experience at an AI-native company, in a product-focused 0-to-1 engineering environment, or with HR platforms such as Greenhouse, Workday, or Rippling.
Pay
$405,000 — $485,000 USD (base salary)
Tools
Claude, MCP (Model Context Protocol), Greenhouse, Workday, Rippling
AI focus
Build AI-native tools, evaluations, prompts, and products for people processes; ship LLM-native features and help define applied AI workflows.
Model-written summary · the original posting is authoritative