Product Engineer, Computer Use

About AnthropicAnthropic'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.About the roleThe 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.Key responsibilitiesOwn end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterateDiagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usagePartner with computer-use researchersPartner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflowsInstrument products and use usage data to drive prioritization and measure progressTranslate fuzzy user pain points into concrete, shippable features for knowledge workersMinimum qualificationsExperience 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 companyStrong full-stack engineering skills, including production web frontend and backend developmentHands-on experience building with LLM APIs, prompting, or agent frameworksA track record of shipping to external users and iterating based on their feedbackPreferred qualificationsStrong product design instincts and the ability to produce a clean, usable interface without a dedicated designerExperience with browser automation, desktop automation, or robotic process automation systemsExperience building evals or quality harnesses for machine learning systemsComfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metricsExperience designing agent loops, tool integrations, or guardrails for LLM-based systemsRepresentative projectsOwn and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rateTake a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usageCompensationAnnual Salary: $300,000 – $320,000 USDLogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-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.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.BenefitsWe 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.#J-18808-Ljbffr