Founding Technical Product Manager
Knowtex • In-Person/Hybrid (San Francisco)
About KnowtexKnowtex 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 OverviewKnowtex 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 ResponsibilitiesDefine 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 decisions
Manage cross-functional stakeholders including clinical operations, compliance, sales, and customer success
Evaluate build vs. buy vs. partner decisions for integrations and capabilities
Communicate product vision and progress to leadership, customers, and external partners
2+ years of product management experience with a strong technical foundation
Ability to read and reason about code, APIs, data models, and system architecture
Experience working directly with clinicians, healthcare administrators, or clinical operations teams
Demonstrated ability to distill ambiguous, complex stakeholder needs into actionable engineering requirements
Strong analytical skills—comfortable with SQL, product analytics tools, and data-driven decision making
Excellent written and verbal communication; ability to present to both technical and non-technical audiences
Experience working in fast-paced startup environments with high ownership and autonomy
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
Government & Federal Healthcare:
Experience with federal healthcare (VA, DoD, MHS) or government contracting
Familiarity with FedRAMP, ATO processes, IL4/IL5 compliance, or FISMA
Experience managing enterprise-scale onboarding and change management programs
Understanding of federal procurement processes and stakeholder dynamics
Clinical Automation:
Experience with EMR/EHR platforms (Epic, Cerner, OncoEMR) or healthcare interoperability standards (FHIR, HL7)
Background in clinical documentation, medical coding (CPT, ICD-10), or revenue cycle management
Experience with NLP/AI products, particularly in accuracy measurement and hallucination reduction
Understanding of clinical workflow design across medical specialties
Clinical Intelligence:
Experience with clinical decision support, clinical trial matching, or evidence-based guidelines (NCCN, ASCO)
Background in health informatics, biomedical data, or life sciences technology
Experience building AI/ML-powered products, chatbots, or knowledge retrieval systems
Familiarity with regulatory considerations for clinical AI (FDA SaMD, clinical validation)
AWS (GovCloud for federal deployments)
Python, Node.js / TypeScript backend services
React frontend (internal tools and dashboards)
Healthcare data formats (FHIR, HL7, JSON, CSV)
AI/ML pipelines, LLM-based products, and NLP systems
Event-driven and asynchronous processing architectures
Competitive salary
Meaningful equity compensation
Unlimited PTO
Premium health, dental, and vision coverage
401(k) plan
Work model: In Person/Hybrid (SF Based)
Skills Required
- 2+ years of product management experience with a strong technical foundation
- Ability to read and reason about code, APIs, data models, and system architecture
- Experience working directly with clinicians, healthcare administrators, or clinical operations teams
- Demonstrated ability to distill ambiguous, complex stakeholder needs into actionable engineering requirements
- Strong analytical skills--comfortable with SQL, product analytics tools, and data-driven decision making
- Excellent written and verbal communication skills
- Experience working in fast-paced startup environments with high ownership and autonomy
- Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
What We Do
Knowtex captures natural conversation between a clinician and patient, identifies relevant medical information, and generates a pre-filled note with medical coding suggestions, for clinician review and sign-off. For clinicians, we’re decreasing time spent on manual documentation and allowing them to focus on patient care. For healthcare organizations, we’re improving accuracy and efficiency in medical billing and coding to help with reimbursements.
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