Product Engineer, Computer Use

The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic’s research organization and closes the loop between product and model.

As a Product Engineer on this team, you’ll own end-to-end delivery of our computer-use and browser-control product surfaces. You’ll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You’ll work directly alongside researchers, with no layers between you and the model or the user.

This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work., * 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

Do you have a Bachelor’s degree?, * 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

• Strong full-stack engineering skills, including production web frontend and backend development
• Hands-on experience building with LLM APIs, prompting, or agent frameworks
• A track record of shipping to external users and iterating based on their feedback, * Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
• Experience with browser automation, desktop automation, or robotic process automation systems
• Experience building evals or quality harnesses for machine learning systems
• Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
• Experience designing agent loops, tool integrations, or guardrails for LLM-based systems

Representative projects

• Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
• Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage, Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Pulled from the full job description

• Parental leave
• Flexible schedule, Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems., We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.