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 s…