Product Engineer
- San Francisco, CA, United States
$100,000 to $225,000 USD / year
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Job details
- Pay
- $100,000 to $225,000 USD / year
- Posting language
- English
- Posted
Original job description
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
- 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.
WHAT WE'RE LOOKING FOR
- 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.
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.