Jobs in Germany
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
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Düsseldorf
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