Full-Stack Product Engineer for AI/Browser Tools — Flexible Hours

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

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Job summary

Anthropic is seeking a Product Engineer to own end-to-end delivery of computer-use and browser-control product surfaces. You will work across the full stack from UI to agent runtime to backend services, collaborating directly with researchers and users to deliver high-impact features.

The role requires strong full-stack skills, experience with LLM APIs, and a track record shipping to external users. This position is based in the United States and follows a location-based hybrid policy.

Qualifications

• Experience building and shipping a product from zero to one with end-to-end ownership.
• Strong full-stack engineering skills, including production web frontend and backend development.
• 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.
• 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

Full-stack engineering

LLM APIs

External users

Prompting

Education

Bachelor’s degree or equivalent

Tools

Browser automation

Desktop automation

Robot process automation

SQL

Job description

Anthropic is seeking a Product Engineer to own end-to-end delivery of computer-use and browser-control product surfaces. You will work across the full stack from UI to agent runtime to backend services, collaborating directly with researchers and users to deliver high-impact features.

The role requires strong full-stack skills, experience with LLM APIs, and a track record shipping to external users. This position is based in the United States and follows a location-based hybrid policy.