Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 3
Data Analysis @ 3
LLM @ 3
Machine Learning @ 3
SQL @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic's 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 connects product development with model research.
As a Product Engineer, you will own end-to-end delivery of computer-use and browser-control product surfaces. You will build across the full stack, including the user interface, agent runtime, and backend services. You will work directly with researchers and users in a dynamic environment where priorities evolve frequently.
Responsibilities
- Own end-to-end delivery of computer-use and browser-control product surfaces, including scoping, building, shipping, measuring, and iterating.
- 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 ambiguous user pain points into concrete, shippable features for knowledge workers.
- Own and resolve reliability and robustness issues on computer-control and browser-control product surfaces, with measurable improvement in task success rate.
- Take new computer-use-powered workflows from concept to external users, including instrumentation and usage readouts.
Requirements
Minimum Qualifications
- Experience building and shipping a product from zero to one with end-to-end ownership, either 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.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- A field of study relevant to the role, as demonstrated through coursework, training, or professional experience.
Preferred Qualifications
- 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 evaluations or quality harnesses for machine learning systems.
- Comfort with lightweight data analysis, including SQL, notebooks, and defining and tracking product metrics.
- Experience designing agent loops, tool integrations, or guardrails for LLM-based systems.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office space for collaboration.
- Anthropic sponsors visas and makes reasonable efforts to obtain visas for candidates when an offer is made, although sponsorship is not guaranteed for every role or candidate.
Work Arrangement
Anthropic currently expects all staff to work from one of its offices at least 25% of the time. Some roles may require more office time.
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