20 hours ago
Base Salary
$100k - $225k/yr
Responsibilities
- Collaborate with product, design, engineering, research, and go-to-market partners to identify user friction and prioritize improvements.
- Speak directly with users about 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 for understanding agent runs, evaluation results, reward signals, and quality feedback.
- Use user feedback and product data to refine experiences and inform product 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 for complex technical workflows and 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.
Benefits
- Base salary range of $100,000 to $225,000 annually.
- Visa sponsorship is available.
- 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.
Categories
Full StackProduct Engineering
