Product Engineer: AI Tools & Browser Automation

Anthropic; New York (NY); Hybrid; USD 300,000 - 320,000; Full time

Job summary

Anthropic is seeking a Product Engineer for the Computer Use team. You will own end-to-end delivery of computer-use and browser-control surfaces, building from the UI to the agent runtime and backend services, working directly with researchers and users.

This dynamic role requires comfort with ambiguity, rapid prioritization, and a track record shipping to external users. You will collaborate with researchers and the Claude Cowork team, instrument usage data, and translate user needs into

Qualifications

• End-to-end ownership for a product as a founding or early engineer.
• Strong full-stack engineering with production frontend and backend.
• Hands-on experience with LLM APIs, prompting, or agent frameworks.
• Track record 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 ownership

Full-stack development

LLM APIs & prompting

Shipping to external users

Education

Bachelor’s degree or equivalent

Relevant field of study

Tools

LLM/Agent frameworks

Web frontend/backend stacks

Browser automation

Job description

Anthropic is seeking a Product Engineer for the Computer Use team. You will own end-to-end delivery of computer-use and browser-control surfaces, building from the UI to the agent runtime and backend services, working directly with researchers and users.

This dynamic role requires comfort with ambiguity, rapid prioritization, and a track record shipping to external users. You will collaborate with researchers and the Claude Cowork team, instrument usage data, and translate user needs into