Senior Full-Stack Engineer for AI-Driven People Ops

Anthropic

California (MO)

Hybrid

USD 320,000 - 405,000

Full time

14 days+
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Benefits offered by this job

Competitive pay
Equity matching
Generous leave
Flexible hours
SF office

Job summary

Anthropic is seeking a senior engineer on the People Products team to build end-to-end, AI-native workflows and tools across the employee lifecycle. You will collaborate with HR, recruiting, and management to identify problems, iterate rapidly, and ship independently in a fast-paced, low-structure environment.

You’ll work closely with Claude and leverage capabilities not available to others, owning architecture and product decisions while delivering high-impact features in a hybrid work setting.

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 or equivalent.
  • Shipped LLM-native features or applications.
  • Background at an AI-native company or in a product-focused 0→1 engineering environment.

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 without waiting for requirements.

Skills

Fullstack engineering
LLM integrations
Technical leadership

Education

Bachelor’s degree

Tools

Greenhouse
Workday
Rippling

Job description

Anthropic is seeking a senior engineer on the People Products team to build end-to-end, AI-native workflows and tools across the employee lifecycle. You will collaborate with HR, recruiting, and management to identify problems, iterate rapidly, and ship independently in a fast-paced, low-structure environment.

You’ll work closely with Claude and leverage capabilities not available to others, owning architecture and product decisions while delivering high-impact features in a hybrid work setting.

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