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Anthropic

Staff Software Engineer – People Products

Anthropic

Staff Software Engineer at Anthropic developing and implementing AI-native workflows for HR processes. Collaborating closely with HR teams and making independent architecture decisions.

Posted 6/4/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $320,000 - $405,000 per yearWebsite

About the role

Key responsibilities & impact
  • 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, what it builds, and where applied AI can have the most leverage in people workflows.

Requirements

What you’ll need
  • 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 will correlate with the internal job level requirements for the position
  • 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

Benefits

Comp & perks
  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours
  • Lovely office space

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
full-stack developmentAI-native workflowsMCP (Model Context Protocol)Claude integrationsLLM integrationsproduct architectureHR tech platforms
Soft Skills
stakeholder engagementfeedback gatheringiterative developmentindependent decision-makingteam collaboration