Product Engineer, Computer Use
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · AI Research & Engineering · listed June 2, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$300,000 – $320,000 USD
Requirements listed
4
Length
1,261 words
In the posting’s own words
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.
What it asks for · 4
- 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
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Models & research
- LLM4×
- Evaluations2×
- Machine learning2×
- Prompt engineering2×
Languages
- SQL2×
Words the posting leans on
- product16×
- computer-use9×
- agent8×
- user8×
- automation6×
- experience building6×
- systems6×
- usage6×
- browser-control product5×
- product surfaces5×
- build4×
- data4×
- external users4×
- integrations4×
- interface4×
- measure4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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