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Berlin, Deutschland
Hybrid
We are looking for a Director of Engineering to join the AI Practice Efficiency team.
Your mission will be to define and deliver how AI transforms the daily work of healthcare professionals — across intelligent scheduling, automated document processing, smart task management, and AI-assisted patient communication. You will 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. 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.
What you'll do:
Your responsibilities include but are not limited to:
Lead and scale 1 engineering team owning the AI Practice Efficiency scope: manage teams delivering AI features across practice workflows — intelligent scheduling, automated document processing, smart task management, and AI-assisted patient communication. Champion delivers excellence by unblocking teams, setting high execution standards, and accelerating the pace of experimentation and production release, with an initial focus on the Phone assistant, currently one of Doctolib's most strategic product bets that we need to grow.
Define and execute the AI product-engineering strategy: in close partnership with Product, Data Science, and Design, set the technical direction for AI Practice Efficiency — deciding when to build vs. buy, how to evaluate and select foundation models, when to fine-tune, and how to architect for safety, explainability, and regulatory compliance. Balance ambitious AI innovation with pragmatic, high-quality execution.
Own responsible AI delivery in a regulated context: ensure AI features are built with appropriate safeguards for a healthcare environment, covering evaluation frameworks, human-in-the-loop design, data privacy (GDPR/HDS), explainability, and bias mitigation. Serve as the engineering voice ensuring our AI products meet the trust bar that healthcare professionals and patients require. Work together with the VP of Engineering of the Domain to set the AI strategy for the domain.
Drive cross-domain AI adoption and platform thinking: collaborate with other engineering streams and the broader AI platform teams to ensure shared AI infrastructure, tooling, and evaluation frameworks both benefit from — and contribute to — your teams' work. Champion AI-augmented engineering practices within your own teams as a forcing function for productivity and quality.
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.
You'll be a great fit if you:
Have at least 12+ years of engineering experience, with significant time leading managers and senior ICs in fast-paced, high-growth technology environments — and a proven ability to run multiple teams across complex, interdependent scopes without losing clarity on outcomes
Have a track record of shipping AI or ML-powered features to real users at scale, with full lifecycle ownership: from problem framing and data requirements through model evaluation, integration, monitoring, and iteration
Stay close to the craft: you use AI tools directly, can build working prototypes to pressure-test ideas, and are hands-on with LLM integration, RAG architectures, fine-tuning tradeoffs, evaluation frameworks, and inference constraints — you see prototyping as a leadership tool
Bring sharp product instinct for where AI creates genuine clinical value, combined with a clear framework for navigating responsible AI delivery in a regulated, high-trust healthcare context (GDPR/HDS, explainability, human oversight)
Are an exceptional people leader: you deliberately adapt your leadership approach based on context, actively mentor other managers, and build environments where engineers grow and AI craftsmanship continuously rises
Are fluent in English
It would be fantastic if you:
Have experience building AI in healthcare, financial services, or another domain where safety, explainability, and auditability are non-negotiable
Have shipped AI that touches clinical workflows, medical terminology, or patient-facing communications
Have experience building AI products that work across languages and regulatory frameworks
Life at Doctolib Tech
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. Discover our AI vision here.
Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.
What we offer
A 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 thanks to our flexibility days policy
Company health insurance with great supplementary benefits through our partner Allianz
Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)
The Doctolib Parent Care program, which includes one month additional parental leave and much more
Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
Free mental health and coaching services through our partner Moka.care
Subsidized sports membership through our partner Urban Sports Club
A flexible workplace policy offering both hybrid and office-based mode
Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Relocation support in case of international mobility
Access to the best AI tools for coding, development and dedicated training
We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.
Job details
Permanent position
Full-time
Location: Berlin, Germany
Hybrid work setup (up to 2 remote days per week)
Start date: as soon as possible
We welcome everyone
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, 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.
Join us in building the healthcare we all dream of!