About the Role
Join a product-focused engineering team building a platform and marketplace for reinforcement learning environments. You will own end-to-end product work that helps environment creators and research teams create, evaluate, and improve AI agents.
What You'll Do
Partner with product, design, engineering, research, and go-to-market colleagues to identify user friction and prioritize improvements.
Speak with environment creators and research teams about their workflows for creating, testing, evaluating, and discovering environments.
Design, prototype, build, launch, and iterate on improvements across the platform and marketplace.
Develop frontend and backend features for onboarding, submissions, review, and discovery.
Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on.
Use user feedback and product data to evaluate outcomes and guide product 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.
Technical education or equivalent technical background.
Experience interviewing users and applying qualitative feedback and product data to improve products.
Strong interaction design skills for complex technical workflows, along with sound product judgment and clear communication.
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 and debugging.
Compensation & Benefits
Base salary range: $100,000 to $225,000 annually. Visa sponsorship is available.
Location
Remote, with 70% to 80% time zone overlap with San Francisco or Singapore.