Join Anthropic as a Product Engineer to build AI tools that enhance computer interface interactions.
Posted by employer 4 months ago
First seen on Joblaze 4 months ago
Last verified on the company career page 9 hours ago
AI in the day-to-day
The team teaches Claude to see and operate computer interfaces, integrating AI capabilities into user tools.
Requirements
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
In this role, the Product Engineer on the Computer Use team at Anthropic is responsible for the end-to-end delivery of products that enable AI to interact with computer interfaces. The position requires strong full-stack engineering skills, experience with LLM APIs, and a knack for translating user needs into functional features. This role is ideal for someone with a background in product development, particularly in dynamic environments where adaptability is key. Anthropic emphasizes collaboration, making it a fitting place for engineers who thrive in a research-driven atmosphere.
Joblaze insights
Quick facts
From the original posting
The 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.
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
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
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
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
The annual compensation range for this role is listed below.
Standard company text repeated across Anthropic's postings is omitted here.