Staff AI-Driven People Products Engineer

Anthropic Limited; San Francisco (CA); On-site; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Generous vacation and parental leave

Equity donation matching (optional)

Flexible working hours

Office in San Francisco

Job summary

Anthropic Limited is expanding its People Products team in San Francisco. You will help shape AI-powered people processes, and build end-to-end solutions that scale with the company.

You’ll collaborate with HR, recruiters, and managers, shipping features rapidly while maintaining high quality and architectural integrity. The role requires 8+ years as a Fullstack or product engineer, with experience shipping LLM-native features and familiarity with HR tech platforms.

Qualifications

• 8+ years of experience as a Fullstack or product engineer with a track record of leading complex, multi-month projects or teams.
• Shipped LLM-native features or applications.
• Able to move fast with a high quality bar and strong architectural decisions.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows, tools, evals, prompts, and products.
• Collaborate with internal stakeholders to understand problems and iterate quickly.
• Make product and architecture decisions independently in a low-structure environment.
• Contribute ideas on how the team works and where AI adds value in people workflows.

Skills

8+ years experience

LLM-native features

Architectural decisions

Customer communication

People processes AI

Education

Bachelor’s degree

Tools

Greenhouse

Workday

Rippling

Job description

Anthropic Limited is expanding its People Products team in San Francisco. You will help shape AI-powered people processes, and build end-to-end solutions that scale with the company.

You’ll collaborate with HR, recruiters, and managers, shipping features rapidly while maintaining high quality and architectural integrity. The role requires 8+ years as a Fullstack or product engineer, with experience shipping LLM-native features and familiarity with HR tech platforms.