Product Engineer

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.

Responsibilities

• Work with product, design, engineering, research, and go-to-market partners to identify user friction and prioritize improvements.
• Speak directly with users to understand challenges in creating, testing, evaluating, and discovering reinforcement learning environments.
• Own product improvements from problem definition and prototyping through implementation, launch, and iteration.
• Build frontend and backend features for onboarding, environment submission, review, and discovery workflows.
• Design interfaces that help users understand agent runs, evaluation results, reward signals, and quality feedback.
• Use user feedback and product data to refine experiences and inform tradeoffs.

Requirements

• Experience shipping software products end-to-end, from understanding user needs through implementation and iteration.
• A technical degree and full-stack web application experience, including polished frontend interfaces and backend services or APIs.
• Experience interviewing users and using qualitative feedback and product data to improve shipped products.
• Strong interaction design and product judgment, especially for complex technical workflows and making decisions with incomplete information.
• Background in developer tools, data-rich products, marketplaces, or products serving distinct user groups.
• Familiarity with AI agents, evaluations, reinforcement learning, training data, or workflows involving review, debugging, and quality feedback.

Pay

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.