Clinical Product Lead (MD)

About UpDoc At UpDoc , we are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians. We are seeking a Clinical Product Lead (MD) to own the clinical design and help drive development of UpDoc’s AI-enabled chronic disease products. This is a hands-on product role for a physician with strong clinical judgment and product instincts. This is a remote role. Who You Are You’re an experienced physician who thinks like a product builder. You can take an ambiguous clinical problem, determine how the product should address it, make thoughtful tradeoffs, and work with a cross-functional team to ship it. You’re comfortable being the clinical decision-maker for the areas you own and excited to work hands-on with AI systems. What You'll Do Own the clinical design of the product areas you lead, including care pathways, interventions, escalation criteria, safety boundaries, and expected system behavior. Drive clinical product initiatives from problem definition through launch and iteration, translating clinical needs into product requirements, acceptance criteria, and product decisions. Work hands-on with UpDoc’s AI agent, reviewing conversations and clinical trajectories, identifying failure modes, and defining how the system should behave. Partner closely with product, engineering, design, and clinical colleagues to drive cross-functional execution of the initiatives you own. Evaluate product performance and help shape the clinical product roadmap, using feedback, data, and real-world clinical needs to guide improvements. What You'll Need 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.