Design System Manager (m/f/d)

LIVE THE MUSIC WITH US From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world. At eighteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further! We believe music is all about embracing the things that make us different. Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration. Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world. Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives! **Join Us** JOB DESCRIPTION The operation team is responsible for * Management of operational/day-to-day in relationships with Deezer’s payment Engineering team and identification of process inefficiencies * Monitor payment platform performance (authorization rates, PSP tracking), manage fraud risk operations, negotiate PSP rates, analyze transaction costs by method, and identify cost optimization opportunities. * Optimize subscription and churn data quality, implement internal control tools for payment processes and revenue reporting, and coordinate annual audits (statutory auditor deliverables, documentation, testing). * Expertise and support to Deezer teams (Customer care, Legal, Business) * Provide raw data for rights holder revenue reporting, budget tracking and accounting cut-offs; analyze monthly revenue variances * Ensure the payment system complies with local regulations (VAT, consumer protection laws, international legal developments) and maintain ongoing compliance of payment journeys and subscription management processes. * Lead subscription journey optimization, anti-churn mechanics development, conversion A/B testing, and the operational rollout of Deezer's pricing strategy. * Support commercial teams on B2B2C deals design, incorporate customer and internal stakeholder feedback to improve the user experience * Participate in QA testing phases for payment and offer-related releases. Your will : * Be the payment Operation guardian by owning daily payment operations processes, animate our continuous improvement approach, and help elaborate best practices, as we continue to launch and scale new payment products & services * Collaborate with other Payment Operations Analysts and Payment Engineering team and help foster knowledge sharing among the team * Participate in tight feedback loops with Payment product managers and other internal stakeholders to improve product & processes * Lead specific ad-hoc payment operations improvement projects QUALIFICATIONS * High knowledge of SQL and EXCEL * Strong analysis and recommendation methodology * Strong Project management skills * Previous experience in a payment processing environment * Curious and rigorous with figures * Excellent organizational and analytical abilities * Strong written and verbal communication skills in French and English * Demonstrated team player with a curious mindset * Eager and easiness to collaborate with software engineers At Deezer, diversity drives innovation. Whatever makes you uniquely you, your experiences, your way of thinking, your journey, might be exactly what we need. If this role speaks to you and aligns with your interests and capabilities, even if you don’t meet 100% of the qualifications listed, please give it a try and tell us more! #BeYou ADDITIONAL INFORMATION At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding : * Regular Diversity & Inclusion internal and external talks * Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability, Parenthood (signatory of the Parental Challenge) and LGBTQIA+ * Multiple e-learnings and mandatory training sessions for all managers * English and French courses for all, so that everyone can connect and feel included Beyond benefits like transportation, we offer you extra perks like: * A Deezer premium family account for free * Access to gym classes * Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong * Deezer parties several times a year and drinks every thursday * Allowance for sports, travelling and culture * Meal vouchers * Mental health and well-being support from Moka.Care * Great offices always located in dynamic and attractive districts, whether in Paris, London or Sao Paulo! * Hybrid remote work policy If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here!

WHAT YOU’LL DO We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role combines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments. Your responsibilities include but are not limited to: Technical Strategy & Architecture * Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns * Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs * Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows End-to-End ML Delivery * Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations) * Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards * Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability * Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction Leadership & Impact * Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization * Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams * Translate clinical needs into research questions and production systems that measurably improve patient outcomes * Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.   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 have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives * You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) * 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, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP) * 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 WHAT WE OFFER * Free comprehensive health insurance (basic package) 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 (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training THE INTERVIEW PROCESS * HR Screen * Hiring Manager Interview * Behavioral Interview * Technical Questions  * Technical Case Study * At least one reference check   JOB DETAILS * Permanent position * Full-time * Hybrid work mode (3 days/week in the office) * Paris, France * Start date: as soon as possible   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.   * *