Skills this job asks for
Product managementMachine learningLLMs
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Where you can work from
Europe only
Based on the listing's location: Remote (Europe).
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
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:
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Remove their administrative work.
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Help them make better decisions and handle repeatable cases, so they can spend their time where it matters most.
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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:
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Help decide what we build for doctors by bringing their real needs, habits and workflows into the product.
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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
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Bring how doctors really work (habits, preferences, workflow, admin) into the product.
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Talk to doctors, doctor-to-doctor, and turn candid feedback into product decisions.
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Partner with Product on the roadmap: what to build and what will actually get used.
Make sure it's clinically sound
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Define the clinical quality bar and intended outcomes for our AI products.
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Review and improve prompts, model outputs, clinical templates, workflows and terminology.
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Spot clinical failure modes: what good and unacceptable outputs look like.
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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.
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Turn model errors and clinician feedback into concrete product and model improvements.
Keep it safe and scalable
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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.
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Build feedback loops with practising clinicians and our consultant-doctor network.
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Define how clinical-product expertise scales across future products, teams and markets.
What we're looking for
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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.
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You've helped build and ship a digital health, clinical software or AI product—either within a product team or through meaningful entrepreneurial experience.
View original listing ↗