Senior Engineering Manager - Voice Teams

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

What we are looking for

Must have

3+ years of people management experience leading ML or Data Science engineering teams

Strong technical background in Machine Learning (classical ML is a must)

Ability to understand, challenge, and make architectural decisions on complex ML systems (at a level benchmarked against leading industry standards)

Deep understanding of system design, trade-offs, and technical risk management

Experience thriving in a startup-like environment: fast decisions, ambiguity, frequent scope changes

Versatile profile, comfortable operating across multiple technical domains simultaneously

Fluent in English; French is a plus

Nice to have

Hands-on experience with ASR, speech processing, or audio ML

Familiarity with LLMs and their integration into production ML systems

Experience managing multi-team organizations or acting as a manager of managers

What we offer

Join our mission to improve access to healthcare across the world and have a meaningful impact on millions of people every day

A decisive leadership role with real ownership from day one

The opportunity to work on cutting-edge AI at the intersection of voice, LLM, and medical technology

A strong engineering culture with high standards and a bias for impact

Continuous development opportunities: learning programs, knowledge sharing, internal mobility

Full remote flexibility

Competitive compensation and benefits package

The interview process

Recruiter Call (30 min)

Hiring Manager Interview - in-depth discussion on people management approach and leadership experience

System Design Interview (SDI) - assess architectural thinking and ability to challenge complex ML systems

Behavioral Interview (BHV) - assess leadership, decision-making in ambiguity, and management philosophy

Offer