Product Engineer

Wwshemi; San Francisco (CA); Remote; USD 100,000 - 225,000; Full time

Benefits offered by this job

Visa sponsorship available

Remote-friendly

Job summary

Wwshemi is seeking a product engineer to join a team building a platform and marketplace for reinforcement learning environments. You will blend product judgment, interaction design, and full-stack engineering to simplify complex workflows for environment creators and AI research teams.

You will collaborate across product, design, engineering, and research to identify friction, interview users, and drive improvements from prototype to launch.

Qualifications

• 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 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.

Responsibilities

• Identify user friction with product, design, engineering, and GTM partners 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.

Skills

End-to-end product delivery

User interview & feedback analysis

Interaction design

Full-stack web development

Education

Bachelor’s degree in Computer Science or related field

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.