AI Product Engineer: End-to-End, Full-Stack & Research

Anthropic Limited; Seattle (WA); Hybrid; USD 300,000 - 320,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic is hiring a Product Engineer to own end-to-end delivery of computer-use and browser-control product surfaces. You will build across the stack from UI to backend services and work directly with researchers, with no layers between you, the model, or the user.

The role requires shipping with ambiguity and adapting to changing priorities while prioritizing high-impact work for knowledge workers. You’ll collaborate with researchers and multiple teams on instruments, metrics, and user

Qualifications

• Experience building and shipping a product from zero to one with end-to-end ownership.
• Strong full-stack engineering skills (production web frontend and backend).
• Hands-on experience building with LLM APIs, prompting, or agent frameworks.
• Track record of shipping to external users and iterating based on feedback.

Responsibilities

• Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate.
• Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage.
• Partner with computer-use researchers.
• Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows.
• Instrument products and use usage data to drive prioritization and measure progress.
• Translate fuzzy user pain points into concrete, shippable features for knowledge workers.

Skills

End-to-end product ownership

Full-stack engineering

LLM APIs / prompting / agent frames

Shipping to external users & iteration

Job description

Anthropic is hiring a Product Engineer to own end-to-end delivery of computer-use and browser-control product surfaces. You will build across the stack from UI to backend services and work directly with researchers, with no layers between you, the model, or the user.

The role requires shipping with ambiguity and adapting to changing priorities while prioritizing high-impact work for knowledge workers. You’ll collaborate with researchers and multiple teams on instruments, metrics, and user