Product Engineer (Computer Use)

Join Anthropic, a leading AI safety and research company, as a Product Engineer on the Computer Use team. In this dynamic role, you will own the end-to-end delivery of our computer-use and browser-control product surfaces, working directly alongside researchers and impacting real-world usage. You will build across the full stack, diagnose and resolve reliability issues, and translate user pain points into concrete features. Enjoy comprehensive benefits, a competitive salary, and the opportunity to make a meaningful impact in the field of AI.

• End-to-end delivery of computer-use and browser-control product surfaces, including scoping, building, shipping, measuring, and iterating.
• Diagnosing and resolving reliability and robustness issues in the computer-use agent harness that block real-world usage.
• Partnering with computer-use researchers and the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows.

• A track record of shipping to external users and iterating based on their feedback
• Hands-on experience building with LLM APIs, prompting, or agent frameworks
• Strong full-stack engineering skills, including production web frontend and backend development
• Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
• Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
• Experience with browser automation, desktop automation, or robotic process automation systems
• Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
• Experience building evals or quality harnesses for machine learning systems
• Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer