Về vị trí này
Từ tin đăng của nhà tuyển dụng · Doctolib · đăng ngày 6 tháng 10, 2026
The opportunity
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.
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.
Your impact
Your responsibilities include but are not limited to
- 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.
Your team
Reporting to the VP Platform Engineering, Mike Aidane, you'll join t
















