Product Engineer
Company websitegetclera.com (Clera, opens in new tab)
Base salary $100K to $225K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (43 min ago) · observed since
About this job
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.
Source: Clera on Ashby · View original posting (opens in new tab)
This listingProduct Engineer$100K to $225K
Account Executive$100K to $180K
Founding Engineer, Computer Vision & Robotics$120K to $200K
Founding AI Engineer$120K to $180K
Software Engineer - Full Stack$120K to $150K
Agent Product Manager$120K to $210K
Product Engineer (Software Engineer)$120K to $200K
Chart as a table
| Role | Published base |
|---|---|
| Product Engineer (this listing) | $100K - $225K |
| Account Executive | $100K - $180K |
| Founding Engineer, Computer Vision & Robotics | $120K - $200K |
| Founding AI Engineer | $120K - $180K |
| Software Engineer - Full Stack | $120K - $150K |
| Agent Product Manager | $120K - $210K |
| Product Engineer (Software Engineer) | $120K - $200K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-11-01
Where this pay comes from
Location as the employer wrote it: San Francisco
Base salary range: $100,000 to $225,000 annually. Visa sponsorship is available.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.