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Open nowPosted 21 hours ago

Product Engineer

Clera316 open roles

Where
remote
Work mode
Remote
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Your applicationOpen nowProduct EngineerClera · remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Clera's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 21 hours ago

Clera median: 6 days open

The posting

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.

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

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3×

more interviews than doing it yourself with ChatGPT.

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  • Who got the interview, and who heard nothing

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