Senior Clinical Product Lead | 100% Remote within Europe

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.

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.

• 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.

• 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.

• 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 practising clinicians and our consultant-doctor network.
• Define how clinical-product expertise scales across future products, teams and markets.

• A medical degree and meaningful experience practising medicine, with a strong understanding of clinicians' day-to-day work. Active licensure and current clinical practice are not required, although recent or ongoing practice is valuable.
• You've helped build and ship a digital health, clinical software or AI product-either within a product team or through meaningful entrepreneurial experience.
• You've turned clinical problems into product decisions, not just provided advice or review.
• Strong clinical judgment: you turn quality and safety into standards technical teams can use.
• You win doctors' trust quickly-you are the peer who gets the honest answer.
• You communicate clearly and directly across clinical, product, technical, regulatory and leadership teams.
• You're comfortable working at a senior, hands-on level in a fast-moving, international team.
• You actively use generative AI and understand its potential and limitations. Hands-on experience with prompting, evaluation, error analysis, human oversight or AI-assisted development tools such as Cursor and Claude Code is a plus.

Bonus: experience with ambient documentation, clinical templates, medical-knowledge systems, clinical coding, evaluation datasets or building and certifying regulated Software as a Medical Device (SaMD).

• A clear clinical quality framework for our priority AI products.
• Clinically grounded evaluation sets and thresholds in place.
• A repeatable way to turn medical expertise into better product and model decisions.

• Real impact at real scale: Your work reaches hundreds of thousands of doctors and their patients.
• Shape what comes next: You'll influence what Noa and Docplanner's AI products become-and whether doctors and patients trust them.
• Ship to learn: A feature in front of users beats another month of planning.
• Work flexibly: The role is 100% remote within Poland or Spain, with the team coming together regularly.