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.

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.