Product Engineer

Clera; Oregon; Ibrido; USD 100.000 - 225.000; Tempo pieno

Vantaggi offerti da questo lavoro

Visa sponsorship available

Remote-friendly

Descrizione del lavoro

Clera is seeking a product engineer to 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.

You will ship software end‑to‑end, identify user friction with partners, interview users, and own improvements from problem definition through launch.

Competenze

• Shipping software end-to-end from user needs to launch.
• Technical degree and full-stack web app experience.
• Experience interviewing users and using qualitative data.
• Strong interaction design and product judgment for complex workflows.
• Background in developer tools, data-rich products, or marketplaces.
• Familiarity with AI agents, reinforcement learning, or related workflows.

Mansioni

• Identify user friction with product, design, and go-to-market partners.
• Speak directly with users to understand challenges in creating, testing, and discovering RL environments.
• Own product improvements from problem definition 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, and reward signals.
• Use user feedback and product data to refine experiences and inform tradeoffs.

Descrizione del lavoro

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.