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Job description
About the Role
Join a product engineering team building an AI platform for creating and evaluating reinforcement learning environments. You will combine product judgment, interaction design, and full-stack engineering to make complex workflows more clear and useful for creators and research teams.
What You'll Do
Work with product, design, engineering, research, and go-to-market partners to identify user friction and prioritize improvements.
Talk with environment creators and research teams about how they create, test, evaluate, and discover environments.
Define, prototype, build, launch, and iterate on improvements across the platform and marketplace.
Develop frontend and backend features for onboarding, environment submission, review, and discovery.
Design interfaces that help users understand agent runs, evaluation results, reward signals, and quality feedback.
Use user feedback and product data to evaluate outcomes and guide tradeoffs.
What We're Looking For
Experience shipping software products end to end, from identifying user problems through implementation and iteration.
Full-stack web application experience, including polished frontend interfaces and backend services or APIs.
A technical education or background, with strong product judgment and the ability to make decisions with incomplete information.
Experience conducting user interviews and applying qualitative feedback and product data to improve products.
Skill designing clear, usable interaction patterns for complex technical workflows.
Background in developer tools, data-rich products, marketplaces, or products serving distinct user groups.
Familiarity with AI agents, evaluations, reinforcement learning, training data, or operational workflows such as review, debugging, and quality feedback.
Compensation & Benefits
Base salary range: $100,000 to $225,000 annually. Visa sponsorship is available.
Location
Remote role for candidates able to maintain 70% to 80% time zone overlap with San Francisco or Singapore. The company also has offices in San Francisco and Singapore.