English Staff ai Product Manager - Health Chat - M H/F - 75

What you'll do

As a Staff Product Manager (x/f/m), your mission will be to lead one of five specialized streams building a medical AI health chat assistant that provides health recommendations to millions of patients. This initiative is organized into Chat Orchestration, Health Assessment, Guardrails, Health Actions, and medical knowledge platform - each with dedicated product and data science teams. You will own the Health Actions stream, defining what personalized recommendations our AI provides to millions of patients: from self care advice to specialist matching and follow up guidance.

Your responsibilities include but are not limited to:

- Define what the AI recommends
- Design the health actions framework: nonprescriptive medical information, exam recommendations, self care drug guidance, care navigation, and follow up
- Establish prioritization logic to surface critical information while delivering comprehensive guidance
- Build evaluation frameworks to measure recommendation accuracy, relevance, and medical safety
- Ensure perfect accuracy on HCP/service matching, timing, and self care drug posology aligned with medical consensus
- Integrate with Doctolib's ecosystem
- Connect recommendations to care offer: online booking, messaging, health programs
- Develop RAGpowered systems that ground actions in Medical Knowledge Platform content
- Enable matching to external medical resources (websites, phone numbers, partners)
- Track action effectiveness: monitor if patients apply recommendations and measure health outcomes
- Validate with medical rigor
- Collaborate with 40+ pediatricians and specialists to ensure clinical validity
- Establish systematic testing protocols for new recommendation types
- Balance medical safety with user utility at scale
- Scale and evolve
- Extend from pediatric to adult use cases (chronic conditions, prevention, mental health)
- Enable proactive suggestions based on Personal Health Records
- Handle multi-problem cases with appropriate prioritization
- Collaborate cross functionally
- Coordinate with 4 other AI streams (Orchestration, Assessment, Guardrails, Medical Knowledge)
- Partner with dedicated Data Science team
- Drive toward €10M ARR for the people's health companion target with CEO level visibility

You'll be building Europe's first medical AI health assistant - competing with ChatGPT, Google Health Coach, and Apple Health, but with medical validation, integrated care access, and 80M patients.

Who you are

Before you read on - if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

Must-Have:

- You have at least 8+ years of product management experience with at least 3 years focused on AI/ML products
- You demonstrate strong analytical skills and are fluent with ML metrics across classification, ranking and generation tasks, statistical significance testing, A/B experimentation, offline/online evaluation frameworks, and taxonomy design
- You are fluent in French and English

Highly Valued:

- You have hands-on experience with LLM-based products including chatbots, recommendations, and personalization systems
- You have previous experience launching 01 products in fast-moving environments
- You are familiar with RAG (Retrieval Augmented Generation) architectures

Bonus Points:

- You have exposure to healthcare or health tech environments and understand health user needs
- You have medical domain knowledge or experience with regulated products

What we offer

- Free comprehensive health insurance for you and your children
- Parent Care Program: receive one additional month of leave on top of the legal parental leave
- Free mental health and coaching services through our partner Moka.care
- For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
- Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
- Work Council subsidy to refund part of sport club membership or creative class
- Up to 14 days of RTT
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
- Lunch voucher with Swile card

The interview process

- Recruiter Interview
- Hiring Manager Interview
- Live case Interview
- Behavioral Interview
- At least one reference check

Job details

- Permanent position
- Full-time
- Paris, France - Hybrid (2-3 days in office)
- Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact ****@****.** for inquiries or to exercise your rights.