Senior ML Manager - Voice Teams

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, Clinical Dictation, and Phone Assistant. 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.

Responsibilities

Directly manage 2 teams (8 engineers) working across multiple ASR product perimeters; Be the promoter of technical decisions for your scope and a key advocate for your teams across the organization; 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; 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; 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

Requirements

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

Nice to have

French is a plus; 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

Benefits

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