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K Health is seeking an experienced clinician to serve as the medical voice within its AI organization. This is a hands-on, cross-functional role bridging medicine and AI research to shape clinical AI products that are safe, useful, and genuinely valuable to patients and care teams.
You will partner directly with AI researchers, product managers, clinical managers, and external partners throughout the product development lifecycle. Your responsibilities include:
• Partner with AI researchers as the resident domain expert, contributing clinical insight from problem framing through solution validation for innovative clinical AI products.
• Design and lead clinical evaluation of AI products, defining clinical success criteria and rigorously assessing model outputs for safety, accuracy, and real-world clinical value.
• Serve as medical product owner alongside product managers, clinical managers, and the CMO to identify unmet needs, surface gaps, translate clinical requirements into product specifications, and derive new features.
• Ground product and research decisions in clinical reality, ensuring solutions fit how medicine is actually practiced and improve outcomes for patients and clinicians.
• Communicate clearly across disciplines, translating clinical nuance for technical teams and technical trade-offs for clinical and business stakeholders.
K Health partners with leading health systems including Mayo Clinic, Cedars-Sinai, Mass General Brigham, and others to build and run modern primary virtual care clinics. The company offers clinical AI solutions (PatientGPT) and provider-serving agentic tools (Perfect Note) to modernize primary care delivery. Founded in 2016 and headquartered in New York City, K Health has raised nearly $400 million from leading investors.
Required qualifications: Licensed physician or equivalently qualified clinician with substantial hands-on clinical experience, ideally in primary care, family medicine, internal medicine, or related generalist field. Strong ability to reason about clinical workflows, patient safety, and AI applications. Comfort in fast-moving, cross-functional environments. Excellent communication skills bridging medical, technical, and commercial perspectives.
Preferred qualifications: Clinical experience in the US, prior exposure to AI/machine learning/digital health products, experience with LLM-based product development, coding, data analysis, EMR/Epic familiarity, previous health tech or product development experience, builder's mindset.
