Clinical Product Engineer
Vera Health - San Francisco | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Seed From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Clinical Product Engineer San Francisco | OnSite ABOUT VERA Vera is the fastest-growing clinical app for healthcare professionals in the world. Five people built it. We're already operating at a scale most teams never reach, with a team most people would think is too small to pull it off. That's by design. Everyone here runs at a level that compresses what would normally take entire teams. We keep it that way by only hiring people who raise the standard the moment they join. We're building the founding team. The people who join now will define how this company operates for the next decade, and shape the future of healthcare. THE ROLE Most AI products in healthcare are built by engineers guessing what clinicians need, or by clinicians advising from the sidelines. We want someone who lives in both worlds. You'll own clinical product areas end-to-end: talking to clinicians, figuring out what they actually need, building it, shipping it, and iterating on it in production. Your clinical background shapes what gets built, how it gets evaluated, and whether it performs safely when it matters. Our engineering team handles infrastructure and security, so you can stay focused on what clinicians feel every day and what would make it better. The best version of this person has shipped AI features to a large audience of users at a company where the product had to be fast, opinionated, and delightful, not just functional. And they've practiced medicine. WHAT YOU'D DO - Talk to clinicians
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