# Product Engineer, Computer Use

**Company**: Anthropic
**Location**: San Francisco, CA | Seattle, WA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $300,000-$320,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5238637008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_35ae5326-bb3

## Description

Job Title: Product Engineer, Computer Use

About the Role: The Computer Use team at Anthropic teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. 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.

Key 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

Minimum Qualifications:

- 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

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 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

Annual Compensation Range: The annual compensation range for this role is $300,000-$320,000 USD.

Logistics:

- 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.

- 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.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

## Skills

### Required
- full-stack engineering
- production web frontend and backend development
- LLM APIs
- prompting
- agent frameworks
- SQL
- notebooks
- product metrics

### Nice to have
- browser automation
- desktop automation
- robotic process automation systems
- evals or quality harnesses for machine learning systems
- agent loops
- tool integrations
- guardrails for LLM-based systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5238637008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)