Product Engineer

Clera Labs, Inc.; États-Unis; À distance; USD 100 000 - 225 000; Plein temps

Avantages offerts par ce poste

Remote work

Résumé du poste

Clera Labs, Inc. is building a platform and marketplace for reinforcement learning environments. You will own end-to-end product challenges—from understanding user needs to implementation and iteration—across onboarding, submissions, review and discovery.

This remote role collaborates with teams in San Francisco and Singapore, with visa sponsorship available and a strong emphasis on clarity and usability in complex AI workflows.

Qualifications

• Experience shipping software products end-to-end
• Full-stack web application experience
• Strong product judgment and tradeoff skills
• Experience interviewing users and applying feedback
• Interaction design with focus on clarity in complex workflows
• Background in developer tools, data-rich products, marketplaces or distinct user groups
• Familiarity with AI agents, evaluations, reinforcement learning, training data
• Clear communication across cross-functional teams

Responsabilités

• Partner with product, design, engineering, research and GTM teams to identify user friction and prioritize improvements
• Speak with environment creators and research teams about creating, testing, evaluating, and discovering RL environments
• Design, prototype and ship improvements across the platform and marketplace from problem definition through launch
• Build frontend and backend features for onboarding, submissions, review and discovery workflows
• Make agent runs, evaluation results, reward signals and quality feedback easier to understand and act on
• Use user feedback and product data to assess outcomes and inform tradeoffs

Description du poste

About the Role

Join a product engineering team building a platform and marketplace for reinforcement learning environments. You will own end-to-end product challenges that help creators submit and discover work, and help research teams evaluate and improve AI agents.

What You'll Do

• Partner with product, design, engineering, research, and go-to-market teams to identify user friction and prioritize improvements.

• Speak directly with environment creators and research teams about creating, testing, evaluating, and discovering reinforcement learning environments.

• Design, prototype, and ship improvements across the platform and marketplace, from problem definition through launch and iteration.

• Build frontend and backend features for onboarding, submissions, review, and discovery workflows.

• Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on.

• Use user feedback and product data to assess outcomes, 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.

• Full-stack web application experience, including polished frontend interfaces and backend services or APIs.

• Strong product judgment, including identifying underlying problems, setting scope, and making tradeoffs with incomplete information.

• Experience interviewing users and applying qualitative feedback and product data to improve shipped products.

• Interaction design skills and a focus on clarity and usability in complex technical workflows.

• 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 for review, debugging, and quality feedback.

• Clear communication and experience working across cross-functional teams.

Compensation & Benefits

Base salary range: $100,000 to $225,000 USD annually. Visa sponsorship is available.

Location

Remote, with 70% to 80% time zone overlap with San Francisco, California or Singapore. The role is also associated with offices in San Francisco and Singapore.