About the Role
Join a product engineering team building a platform and marketplace for reinforcement learning environments. You will combine product judgment, interaction design, and full-stack engineering to make complex workflows clearer for environment creators and AI research teams.
What You'll Do
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Work with product, design, engineering, research, and go-to-market partners to identify user friction and prioritize improvements.
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Speak directly with users to understand challenges in creating, testing, evaluating, and discovering reinforcement learning environments.
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Own product improvements from problem definition and prototyping through implementation, launch, and iteration.
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Build frontend and backend features for onboarding, environment submission, review, and discovery workflows.
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Design interfaces that help users understand agent runs, evaluation results, reward signals, and quality feedback.
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Use user feedback and product data to 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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A technical degree and full-stack web application experience, including polished frontend interfaces and backend services or APIs.
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Experience interviewing users and using qualitative feedback and product data to improve shipped products.
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Strong interaction design and product judgment, especially for complex technical workflows and making decisions with incomplete information.
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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 involving review, debugging, and quality feedback.
Compensation & Benefits
Base salary range: $100,000 to $225,000 annually. Visa sponsorship is available.
Location
Remote candidates are welcome, with 70% to 80% time zone overlap required with San Francisco or Singapore. Office locations are available in San Francisco and Singapore.
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