Product Engineer, Computer Use na Anthropic

Híbrido - San Francisco, CA; New York City, NY; Seattle, WA

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Product Engineer, Computer Use – join Anthropic’s AI research & engineering team to build computer-use and browser-control products, working across the stack from frontend to backend and directly with researchers. Own end-to-end delivery, diagnose reliability issues, partner with research teams, instrument products with data, and translate user pain points into shippable features. The role offers competitive compensation, benefits, and flexible working hours.

Salary

USD 300,000 - 320,000

Requirements

Skills

  • 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
  • Strong product design instincts and ability to produce a clean, usable interface
  • Experience with browser automation, desktop automation, or robotic process automation systems
  • Experience building evaluation 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
  • Minimum education: Bachelor's degree

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

Technologies

Full-stack web frontend developmentFull-stack web backend developmentLLM APIsPromptingAgent frameworksBrowser automationDesktop automationRobotic process automationSQLNotebooksAgent loopsTool integrationsGuardrails for LLM-based systems

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