Director of Developer Experience - Platform Engineering (x/f/m)

📋 Job Overview

Founded in 2013, Doctolib is Europe's leading AI and digital health company, serving 520,000 health professionals and 90 million people. We are building a new way to build software: agents doing the grunt work of writing, testing, reviewing and merging code, with engineers moving into a control-tower role to monitor and intervene.

Your mission: build the tooling and workflows that let AI agents and the engineers who work alongside them test, review, ship and monitor code reliably, so Doctolib can multiply its engineering output while keeping quality and control.

🏢 About Doctolib

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.

🎯 The Role

We're looking for a Director of Developer Experience to lead our new AI Developer Experience team, reporting to the VP Platform Engineering. You will also own the existing CI and Developer Experience scope.

Doctolib is moving AI adoption from a temporary SWAT team to a permanent capability. The current team includes two Product Managers and two engineers, with more people joining through internal transfers and hiring.

Your team will own:

• The agent-native testing and feedback infrastructure that lets agents know, within their own workflow, whether what they built is correct.
• CI/CD and build systems for the monolith and satellite services, elevated from a CI-run team into an efficient agent-testing capability.
• Developer productivity measurement in the AI era DORA, autonomous change rate and complementary indicators.
• The inner-loop experience: local and remote environments, onboarding, editor integration and sandboxing.

✅ Key Responsibilities

• Build the tools and workflows that allow agents to write, test, review and merge code, including evaluation, security checks and controls — giving agents a fast, reliable feedback loop on whether what they build is correct.
• Own testing and feedback for the monolith and satellite services, elevating the current CI setup from a CI-run team into an efficient agent-testing capability.
• Own developer productivity measurement in the context of AI — DORA, autonomous change rate and complementary indicators — and make it visible and actionable to feature teams.
• Lead the inner-loop experience: local and remote environments, onboarding, editor integration and sandboxing.
• Build and organise the team, developing agentic skills internally where needed, as AI adoption shifts from a temporary SWAT team to a permanent one.
• Partner with Product Engineering and Product Management to understand internal users and drive adoption.

📌 Required Qualifications

• You have led Developer Experience, Developer Productivity, Developer Infrastructure or Build/CI organisations serving 300+ engineers. You have demonstrated measurable change in how engineers work, with evidence of adoption, productivity outcomes and organisational or operating-model change.
• You have deep technical credibility across CI/CD, build and test infrastructure, monorepo build graphs, test selection, caching, merge queues and flake management. You can guide architecture and trade-offs while remaining credible with Staff Engineers and strong EMs.
• You have 5+ years of experience as a manager of managers: hiring, growing and levelling engineering managers and staff-plus ICs.
• You are comfortable setting your own success metrics and being held to them, with strong written communication and structured thinking.
• You are fluent in English.

⭐ Desirable Experience

• Recent exposure to AI-assisted or agentic engineering transformation, including evaluation, security, guardrails, adoption and productivity measurement. Several years of AI Developer Experience leadership are not expected — the relevant signal is strong large-scale DevEx experience combined with recent AI transformation exposure.
• Experience with large legacy codebases or monoliths, or in a regulated or high-trust environment such as healthcare. You treat constraints as design inputs, not blockers.
• Having led multi-country, distributed engineering organisations.

🎁 Benefits

• Free comprehensive health insurance (basic package) for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib
• 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

🛂 Visa & Eligibility

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.