
Qonto · Paris
Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented ...
Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here).
Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started.
Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit.
AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.
Join us as a Staff AI Product Manager to enhance Qonto's customer experience through innovative solutions. You'll drive the maturity and scalability of our ML/AI capabilities, addressing concrete business problems while fostering innovation.
You will work closely with Daniele Garbarino, our VP Data, to support AI products developments that significantly impact our 600,000+ customers' financial management experience.
➡️ What you'll do
Own the AI product roadmap end-to-end: Define what we build, why, and in what order — gathering insights from engineering, data science, and business teams to develop a prioritized strategy that addresses real customer needs.
Drive key AI product initiatives: Lead the definition and design of AI solutions for products like Attachment Matcher, Transaction Categorizer, and Cashflow Management — from discovery through delivery.
Collaborate across the full stack: Work with data scientists, engineers, and business stakeholders to ensure successful implementation of LLM/AI capabilities that drive measurable business value.
Own your decisions and communicate them clearly: Articulate the rationale behind priorities and engage key stakeholders — including customers, product, and executive teams.
Continuously improve through data: Monitor and analyze the performance of models and products, making data-driven recommendations to raise the bar.
➡️ What we're looking for
Product management experience with a LLM/AI focus: You have proven experience in product management, with concrete examples of ML or AI products you took from 0 to 1 or significantly scaled. You think in outcomes, not features.
Technical fluency in ML: You have a solid grasp of machine learning concepts and applications, allowing you to collaborate effectively with technical teams and translate complex ideas into product requirements.
Strong stakeholder management: You excel at building relationships with diverse stakeholders and communicating complex technical concepts to non-technical audiences.
Analytical thinking: You make data-driven decisions that balance customer needs with business objectives — and you're comfortable with hard trade-offs.
Strategic vision: You can develop a compelling product vision and roadmap that aligns with company goals and delivers measurable impact.
➡️ What we can offer you
A domain being reshaped by AI: ML is transforming financial services — from expense categorization to cashflow forecasting. You'll build products at the frontier of what's possible, not maintain existing ones.
Squad autonomy as the default: You own your roadmap and ship without red tape. No approval chains, no waiting on committees.
Real impact at scale: Your work will directly affect how 600,000+ SMEs manage their finances every day.
Cross-functional collaboration: You'll sit at the intersection of product, data science, and engineering — with a team that values craft and moves fast.
➡️ About your future manager
You'll report to Daniele, VP Data, who brings deep expertise in scaling data organizations at high-growth companies. Daniele is passionate about building data-driven cultures and has a track record of developing analytics leaders. He'll provide you with the strategic context and support needed to establish AI Product as a key strategic function at Qonto, while giving you the autonomy to shape our product vision.
What you’ll do We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike. Technical Strategy & Architecture * Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions * Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance * Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability * Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities * Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation * Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act) Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if: * You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives * You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning * You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP) * You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) * You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: * Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues * Experience with EU healthcare regulations (GDPR, MDR, AI Act) * Prior work with clinical data or healthcare applications Life at Doctolib Tech * Our solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties. * Our stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically to empower patients and professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. What we offer * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers with Swile card (€8.50 value, €4.50 covered by Doctolib) * Work Council subsidy for sports club memberships or creative classes * 50% reimbursement of your public transport subscription * Parent Care Program: one additional month of leave on top of legal parental leave * For caregivers and workers with disabilities: remote policy adaptation, extra medical leave, and psychological support * Relocation support for international mobility * Access to premium AI tools for development and dedicated training The interview process * HR Screen * Hiring Manager Interview * Technical Interview * Technical Case Study * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more on our candidate experience page. Job details * Permanent position * Full-time * Paris, France * Hybrid work mode (up to 2 remote days per week) * Start date: as soon as possible We welcome everyone At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. We respect and celebrate diversity! The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you have a disability, let us know if there's any way we can make the interview process smoother for you! Join us in building the healthcare we all dream of. Your data privacy All information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click here. For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com.
THE CHALLENGE: We're looking for an Engineering Director to lead our Patient Health Companion organization, a key initiative transforming Doctolib into a daily health companion, enabling everyone to manage their health and wellbeing proactively. You'll oversee 4 engineering teams and their managers, including our flagship Health Companion for Parents of young children, which aims to revolutionize how we support parents to care proactively for their children's health and wellbeing. As a key leader of one of France's most downloaded apps, you'll build and scale multiple engineering teams creating innovative, personalized healthcare solutions that millions rely on daily. Your teams will work across: * Incredible experience for our AI-powered chat that combines top notch medical expertise with artificial intelligence * Sophisticated recommendation systems that deliver personalized content and actionable health insights and actions * Engaging mobile experiences that make health management intuitive and accessible * Growth strategies to bring these transformative services to millions YOUR IMPACT: * Build and scale a world-class engineering organization, mentoring engineering managers and staff engineers across multiple technical domains while fostering a culture of excellence and innovation * Drive the technical vision and strategy for our Patient Health Companions, ensuring alignment with Doctolib's broader mission, business and product goals * Lead the development of groundbreaking healthcare experiences including AI-powered chat support, sophisticated recommendation systems, and intuitive mobile interfaces * Establish engineering practices and architecture that enable rapid experimentation while maintaining the highest standards of quality, security, and scalability * Partner with product, design, and healthcare professionals to ensure our solutions address real health needs while delivering exceptional user experiences * Define and execute acquisition and growth strategies to bring our health companions to millions of users across Europe * Shape the future of healthcare technology by pioneering solutions that make healthcare more accessible, personalized, and effective YOUR PROFILE You're a seasoned engineering leader with a proven track record of building and scaling high-performing teams. You combine technical excellence with strategic vision and have a passion for creating technology that transforms lives. Core qualifications: * Leadership excellence: 5+ years of engineering management experience, including managing managers and staff engineers across diverse technical domains * Team building: Proven ability to recruit, develop, and retain exceptional engineering talent * Technical depth: Strong foundation in software engineering, distributed systems, and architecture, with the ability to guide technical decisions across mobile and backend systems * Strategic vision: Ability to translate business objectives into technical roadmaps and align engineering efforts with company strategy * Healthcare passion: Genuine interest in healthcare innovation and improving patient outcomes through technology * Growth mindset: Track record of scaling engineering organizations while maintaining culture and quality * User-centricity: Deep empathy for users and commitment to building products that address their needs Bonus points for: * Experience building consumer health products or working in healthcare technology * Background in AI/ML systems, recommendation engines, or content platforms * Track record of launching and growing successful mobile applications * Experience working with medical professionals or in regulated environments If you're passionate about using technology to transform healthcare and excited about building and managing high-performing teams, we want to hear from you. WHAT WE OFFER * Free comprehensive health insurance for you and your children * Parent Care Program: receive one additional month of leave on top of the legal parental leave * Free mental health and coaching services through our partner Moka.care * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Work Council subsidy to refund part of sport club membership or creative class * Up to 14 days of RTT * Lunch voucher with Swile card JOB DETAILS * Permanent position * Full-time * Paris, France * Start date: as soon as possible * Working mode: hybrid THE INTERVIEW PROCESS * Engagement call with the Hiring Manager * System Design Interview * Behavioral Interview * Business Case * Discussion with our CTO * At least one reference check * Offer! If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
En tant qu'AI Product Manager, ton rôle est stratégique. Tu interviens chez nos clients pour transformer des opportunités business en produits d'IA Générative concrets, scalables et adoptés. Tu es le chef d'orchestre qui fait le pont entre les sponsors métiers, l'UX, et nos équipes de Développeurs Augmentés. Tes Responsabilités : 1. VISION & CADRAGE Discovery Augmentée : Animer des ateliers de maturation avec les parties prenantes pour identifier les cas d'usage GenAI à forte valeur ajoutée. Archéologie Fonctionnelle : Décortiquer l'existant et les outils legacy chez nos clients, challenger les besoins exprimés et porter les arbitrages pour garantir des solutions standardisées. Cadrage assisté par l'IA : Maîtriser les outils d'IA Générative pour accélérer la production de tes propres livrables. 2. PROTOTYPAGE IA-NATIVE Maquettes cliquables en un temps record : Concevoir et produire, dès la phase de cadrage, des prototypes interactifs et fonctionnels en utilisant des outils IA-native (type v0, Lovable, Bolt, Claude Artifacts). Boucles de feedback ultra-courtes : Faire itérer les utilisateurs directement sur le prototype pour valider la solution cible avant même de passer le relais aux équipes de développement. 3. GESTION DE BACKLOG SPÉCIFIQUE À L'IA & DELIVERY Rituels Agiles adaptés au ML/LLM : Rédiger et prioriser des User Stories claires avec des critères d'acceptation spécifiques à l'IA Interface Tech de haut niveau : Collaborer étroitement avec les équipes, estimer l'effort (Value × Effort) et lever les bloqueurs techniques au quotidien. 4. PILOTAGE DE LA PERFORMANCE & ÉTHIQUE Monitoring & ROI : Définir et suivre les indicateurs de succès (gains de productivité, taux d'adoption, satisfaction utilisateur, coûts d'inférence des LLMs). Garant de la conformité : Intégrer dès la conception les contraintes de sécurité des données, de confidentialité et réglementaires (RGPD, AI Act). TON PROFIL : LE PRODUCT MANAGER AUGMENTÉ Tu as au moins 5 à 7 ans d'expérience en Product Owner ou Product Management dans des environnements complexes. Tu as déjà piloté des produits digitaux ou Data de bout en bout et tu as pris le virage de l'IA Générative. Hard Skills incontournables : Maîtrise des concepts clés de la GenAI : LLMs (Claude, Gemini), architectures RAG, pipelines de données et fonctionnement des agents. Pratique opérationnelle des outils de prototypage rapide par l'IA Maîtrise des outils de Product Management traditionnels (Jira, Confluence, Miro, Figma). Anglais professionnel Mindset & Soft Skills : La posture Produit avant tout : Tu n'es pas un pur technicien, tu es orienté business, valeur utilisateur et delivery. Tu sais vulgariser des concepts complexes. L'Esprit Exploratoire : Tu t'épanouis dans les environnements en constante évolution et non stabilisés (modèles émergents, agentic coding). Leadership & Diplomatie : Tu as la posture pour embarquer, challenger et aligner des équipes multidisciplinaires et des sponsors exigeants. POURQUOI REJOINDRE SFEIR ? Ton évolution : Chaque Sfeirian est accompagné(e) par un Engineering Manager. Tu évolues vers des rôles de Staff Engineer, Principal Engineer ou Engineering Manager. SFEIR Institute & C4E : Formation continue et certifications (Claude Code, Dev Augmenté, Google Cloud). Le rayonnement : Participation aux événements Google Cloud et accès à une communauté interne ultra-active avec plus de 50 événements annuels. Le programme AI Champions : Rejoins notre cercle d'Ambassadeurs pour propulser ton expertise et ton impact interne/externe. TON PACK SFEIRIAN Équipement au choix : MacBook Pro ou Dell Precision. Rémunération & Primes : Prime Vacances (10% de la valeur des congés pris) + Prime de participation. Flexibilité : Télétravail en mode hybride, 5 semaines de congés + 12 RTT/an. Avantages au quotidien : Carte ticket restaurant (11€/jour) + Mutuelle et prévoyance. Mobilité : Prise en charge de l'abonnement Navigo ou remboursement à hauteur de 70% pour un vélo électrique. CSE & Engagement : Participation sports / culture / loisirs, chèques-cadeaux, activités (ski, golf, futsal...) + Teamstarter (SFEIR verse 10€ par mois sur ta cagnotte personnelle pour financer des projets associatifs ou solidaires). Prêt(e) à devenir un(e) AI Product 10x ?