About this role
About the Role
Join a product engineering team building a platform and marketplace for reinforcement learning environments. You will own end-to-end product challenges that help creators submit and discover work, and help research teams evaluate and improve AI agents.
What You'll Do
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Partner with product, design, engineering, research, and go-to-market teams to identify user friction and prioritize improvements.
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Speak directly with environment creators and research teams about creating, testing, evaluating, and discovering reinforcement learning environments.
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Design, prototype, and ship improvements across the platform and marketplace, from problem definition through launch and iteration.
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Build frontend and backend features for onboarding, submissions, review, and discovery workflows.
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Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on.
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Use user feedback and product data to assess outcomes, refine experiences, and inform tradeoffs.
What We're Looking For
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Experience shipping software products end-to-end, from understanding user needs through implementation and iteration.
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Full-stack web application experience, including polished frontend interfaces and backend services or APIs.
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Strong product judgment, including identifying underlying problems, setting scope, and making tradeoffs with incomplete information.
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Experience interviewing users and applying qualitative feedback and product data to improve shipped products.
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Interaction design skills and a focus on clarity and usability in complex technical workflows.
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Background in developer tools, data-rich products, marketplaces, or products serving distinct user groups.
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Familiarity with AI agents, evaluations, reinforcement learning, training data, or workflows for review, debugging, and quality feedback.
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Clear communication and experience working across cross-functional teams.
Compensation & Benefits
Base salary range: $100,000 to $225,000 USD annually. Visa sponsorship is available.
Location
Remote, with 70% to 80% time zone overlap with San Francisco, California or Singapore. The role is also associated with offices in San Francisco and Singapore.