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About the Role
Lead teams building AI-powered features across two horizons: augmenting existing practice workflows with intelligent capabilities, and pioneering net-new AI-native products that unlock entirely new value for practitioners and their patients. Your mission is to define and deliver how AI transforms the daily work of healthcare professionals.
Responsibilities
- Lead and scale 1 engineering team owning the AI Practice Efficiency scope, managing teams delivering AI features across practice workflows.
- Champion delivery excellence by unblocking teams, setting high execution standards, and accelerating the pace of experimentation and production release.
- Define and execute the AI product-engineering strategy in partnership with Product, Data Science, and Design.
- Own responsible AI delivery in a regulated context, ensuring AI features are built with appropriate safeguards for a healthcare environment.
- Serve as the engineering voice ensuring our AI products meet the trust bar that healthcare professionals and patients require.
- Work with the VP of Engineering of the Domain to set the AI strategy for the domain.
- Drive cross-domain AI adoption and platform thinking by collaborating with other engineering streams and AI platform teams.
- Champion AI-augmented engineering practices within your own teams.
Requirements
- At least 12+ years of engineering experience, with significant time leading managers and senior ICs in fast-paced, high-growth technology environments.
- Proven ability to run multiple teams across complex, interdependent scopes without losing clarity on outcomes.
- Track record of shipping AI or ML-powered features to real users at scale, with full lifecycle ownership.
- Experience using AI tools directly, building working prototypes, and hands-on with LLM integration, RAG architectures, fine-tuning tradeoffs, evaluation frameworks, and inference constraints.
- Sharp product instinct for where AI creates genuine clinical value.
- Clear framework for navigating responsible AI delivery in a regulated, high-trust healthcare context (GDPR/HDS, explainability, human oversight).
- Exceptional people leadership skills, adapting leadership approach based on context, mentoring other managers, and building environments where engineers grow.
- Fluent in English.
- Experience building AI in healthcare, financial services, or another domain where safety, explainability, and auditability are non-negotiable (preferred).
- Shipped AI that touches clinical workflows, medical terminology, or patient-facing communications (preferred).
- Experience building AI products that work across languages and regulatory frameworks (preferred).
Skills
- AI
- ML
- LLM integration
- RAG architectures
- Fine-tuning
- Evaluation frameworks
- Inference constraints
- GDPR/HDS
- Explainability
- Bias mitigation
Location
- Berlin, Germany
Work Type
- Hybrid
- Permanent
- Full-time
Experience Level
- Director
- 12+ years of engineering experience
Benefits
- Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
- 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
- Work from abroad for up to 10 days per year
- Company health insurance with great supplementary benefits
- Company pension scheme with employer subsidy
- Doctolib Parent Care program
- DoctoGrowth employee value sharing plan
- Free mental health and coaching services
- Subsidized sports membership
- Flexible workplace policy
- Healthy snacks and regular breakfast buffet
- Subsidized meal benefit
- Package for caregivers and workers with disabilities
- Relocation support
- Access to the best AI tools for coding, development and dedicated training
About the Company
- Doctolib's AI Practice Efficiency team's mission is to define and deliver how AI transforms the daily work of healthcare professionals.
- Working in the tech team at Doctolib means building innovative products and features that improve the daily lives of care teams and patients across Europe.
- Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
- Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
- We leverage AI ethically across our products to empower patients and health professionals.
Equal Opportunity
- We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
- You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or 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.