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Founding Technical Product Manager

Knowtex - San Francisco | Hybrid | Remote

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Market context

U.S. role benchmark (BLS OEWS)
$102,662 U.S. median for this role
Projected growth (BLS Employment Projections)
+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Founding Technical Product Manager San Francisco | Hybrid | Remote Founding Technical Product Manager Knowtex • In-Person/Hybrid (San Francisco) ABOUT KNOWTEX Knowtex is building the clinical intelligence platform for clinicians, transforming the way medicine is practiced, and how patient care is completed. Founded by Stanford AI scientists with deep federal, clinical, and technical experience, we're experiencing explosive growth across both commercial health systems and government healthcare. Our ambient documentation platform scales to thousands of clinicians across hundreds of specialties, and we're serving clinicians across the country. We're at an inflection point where cutting-edge AI meets real clinical impact-giving clinicians hours back each day to focus on what matters most: their patients. POSITION OVERVIEW Knowtex is hiring a founding Technical Product Manager to own critical product areas at the intersection of AI, clinical workflows, and healthcare infrastructure. These roles require strong technical depth, the ability to work directly with clinicians and healthcare administrators to understand complex workflows, and the skill to translate those insights into clear engineering requirements and product strategy. KEY RESPONSIBILITIES - Define product roadmap, prioritize features, and drive execution for your product area - Conduct discovery with clinicians, healthcare administrators, and IT leaders to deeply understand clinical workflows and pain points - Translate complex clinical and operational requirements into clear engineering specs, user stories, and acceptance criteria - Partner closely with engineering, AI/ML, and design teams to ship high-quality products on tight timelines - Own product metrics, conduct data analysis, and use quantitative and qualitative signals to drive

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