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UpDoc is building the first clinically validated, physician-supervised AI agent for chronic disease management. Founded by Stanford physicians, the company is seeking a Clinical Product Lead (MD) to own clinical design and drive product development of AI-enabled chronic disease solutions.
In this hands-on product role, you will own the clinical design of product areas including care pathways, interventions, escalation criteria, safety boundaries, and expected system behavior. You'll drive clinical product initiatives from problem definition through launch and iteration, translating clinical needs into product requirements and acceptance criteria. You'll work directly with UpDoc's AI agent, reviewing conversations and clinical trajectories to identify failure modes and define system behavior. Close partnership with product, engineering, design, and clinical colleagues will be essential to execute cross-functional initiatives. You'll evaluate product performance, shape the clinical product roadmap using feedback and data, and guide improvements based on real-world clinical needs.
This is an early-stage startup environment requiring comfort with ambiguity, strong clinical judgment, and product instincts. You'll be the clinical decision-maker for your areas of ownership and will work hands-on with AI systems.
REQUIREMENTS:
- MD or DO degree, completion of residency training, and board certification or eligibility
- Meaningful direct patient-care experience and strong clinical judgment
- Experience in healthcare technology, digital health, clinical software, or technology-enabled care
- Strong product judgment and demonstrated ability to turn clinical problems into practical product decisions
- Experience working closely with Product, Engineering, Design, Data, or other technical teams
- Comfort working hands-on in a fast-moving, early-stage environment
HIGHLY DESIRED:
- Experience owning or building a healthcare product or significant product feature
- Experience in an early-stage digital health, healthcare technology, or AI company
- Experience with AI-enabled clinical products, generative AI, LLMs, or clinical decision support
- Experience in chronic disease management, primary care, cardiometabolic health, or longitudinal care
- Clinical informatics, EHR, or healthcare interoperability experience
