Senior ML Voice Teams Lead — Remote

Doctolib; Paris; Hybride; EUR 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Full remote flexibility

Hybrid work model

Résumé du poste

Doctolib is building AI-powered healthcare solutions that improve patient care and reduce admin work. We seek a Senior Engineering Manager to lead the Voice teams within Applied AI, directly managing 8 engineers across 2 teams and championing architectural decisions and people development.

The role combines hands-on ML leadership with strategic delivery, requiring strong ML expertise and a startup-like mindset. English fluency is essential; French is a plus.

Qualifications

• 3+ years of people management experience leading ML or Data Science engineering teams.
• Strong technical background in Machine Learning (classical ML).
• Ability to understand, challenge, and make architectural decisions on complex ML systems.
• Experience thriving in a startup-like environment: fast decisions, ambiguity, frequent scope changes.
• Fluent in English; French is a plus.

Responsabilités

• Lead, coach, and develop a team of ML engineers and data scientists across 2 teams (8 engineers).
• Own performance management, career development, and talent retention for all direct reports.
• Drive a culture of high standards and fast execution; act as Hiring Manager to attract top talent.
• Define and drive the roadmap for your teams in alignment with organizational OKRs; ensure coherence across the ASR perimeter.
• Own the technical direction, including architecture choices and trade-offs; maintain visibility across all technical domains.

Connaissances

Machine Learning

People Management

System design

Leadership

English fluency

Description du poste

Doctolib is building AI-powered healthcare solutions that improve patient care and reduce admin work. We seek a Senior Engineering Manager to lead the Voice teams within Applied AI, directly managing 8 engineers across 2 teams and championing architectural decisions and people development.

The role combines hands-on ML leadership with strategic delivery, requiring strong ML expertise and a startup-like mindset. English fluency is essential; French is a plus.