Senior ML Manager - Voice Teams x/f/m - doctolib

WHAT WE DO

At Doctolib, we are building AI-powered healthcare solutions that make a real difference in the lives of millions of patients and healthcare professionals every day. Our AI organization is at the heart of this mission, developing cutting-edge voice and language technologies that reduce administrative burden for doctors and improve patient care.

The Voice team sits within the Applied AI organization and powers three flagship AI products:

• Consultation Assistant - automatically transcribes and structures doctor-patient conversations to feed downstream NLP components (medical facts extraction, summarization)
• Clinical Dictation - real-time streaming dictation with medical vocabulary boosting and LLM-based post-processing
• Phone Assistant - AI-powered telephone assistance for medical practices, combining near-real-time ASR with conversational AI

Our stack

includes state-of-the-art models (FastConformerCTC, Whisper, NeMo), modern inference infrastructure (Triton, Ray Serve, MLFlow), and spans multiple languages (French, German, and beyond).

YOUR ROLE

We are looking for a Senior Engineering Manager to lead our Voice teams. This is a high-impact leadership role that sits at the intersection of applied ML research, engineering delivery, and people management.

You will directly manage 2 teams (8 engineers) working across multiple ASR product perimeters. You will be the promoter of technical decisions for your scope and a key advocate for your teams across the organization.

WHAT YOU WILL DO

People Management

• Lead, coach, and develop a team of 8 ML engineers and data scientists across 2 teams
• 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: partner with Talent & People to attract and recruit top talent

Technical Ownership

• Own the technical direction of your perimeter, including architecture choices and trade-offs
• Maintain full visibility across all technical domains covered by your teams, with no blind spots
• Deeply understand system design and architectural constraints to challenge and guide your teams effectively
• Ability to deeply understand architectures, challenge technical decisions, assess trade-offs, and ensure your teams are building the right things the right way

Strategy & Delivery

• Define and drive the roadmap for your teams in alignment with organizational OKRs
• Navigate ambiguity and make fast, informed decisions in a constantly evolving scope
• Identify synergies across teams and ensure technical coherence across the ASR perimeter
• Contribute to broader Applied AI initiatives as a senior engineering leader

WHO YOU ARE