Senior Clinical Product Lead | 100% Remote within Europe

About Docplanner and Noa Docplanner is a global healthcare platform connecting more than 300,000 doctors with approximately 100 million patients every month across 13 markets. Within Docplanner, Noa is on a mission to help people live longer, healthier lives. We build AI that works alongside doctors to: Remove their administrative work. Help them make better decisions and handle repeatable cases, so they can spend their time where it matters most. Help patients navigate healthcare using their medical history as personalized context. We're already in doctors' hands: Noa Notes takes documentation off their plates, while Noa Evidence brings trustworthy medical evidence to the point of care. The next frontier is the hardest—and the most valuable: helping doctors, and eventually patients, make decisions while our AI safely takes on repeatable clinical work. That's where a doctor's judgment has to live inside the product itself. That's this role. About the role You'll help take Noa from writing notes and providing evidence to helping doctors decide—and make sure that doctors and users trust it. This isn't a traditional CMO, advisory or regulatory role. It's a hands-on clinical-product role: the clinician–product–AI. You'll do two things: Help decide what we build for doctors by bringing their real needs, habits and workflows into the product. Define the clinical quality of what we ship: what's correct, useful and safe, and make sure we can prove it. Because you're a doctor yourself, you can talk to our users peer-to-peer and get the honest answers a survey never will. As our first dedicated clinical hire on the product, you'll set the approach, then help grow clinical expertise across Docplanner's AI product teams. You'll work day-to-day with Product, AI, Design, Engineering, Regulatory and our doctor network. What you'll do Shape what we build Bring how doctors really work (habits, preferences, workflow, admin) into the product. Talk to doctors, doctor-to-doctor, and turn candid feedback into product decisions. Partner with Product on the roadmap: what to build and what will actually get used. Make sure it's clinically sound Define the clinical quality bar and intended outcomes for our AI products. Review and improve prompts, model outputs, clinical templates, workflows and terminology. Spot clinical failure modes: what good and unacceptable outputs look like. Direct clinical evaluation: decide what to test, in what mix (specialty, population, complexity and edge cases), and set the bar. You'll bootstrap this with a dedicated owner who runs the process, tooling and annotation guidelines for doctors, while our clinical network performs the annotation. Turn model errors and clinician feedback into concrete product and model improvements. Keep it safe and scalable Work with ML/LLM teams, Regulatory experts and the PRRC to keep intent, evidence, risks and controls aligned, including EU MDR-related and similar requirements. Build feedback loops with practi