Director of Data

Upvest

At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: As Upvest enters the next stage of growth, we are looking for an exceptional Director/Head of of Data & AI. You will work closely with Mislav Ilich (Product Director), Roberto Fajardo (SVP Engineering) and Martin Kassing(CEO), owning topics critical to Upvest's product and business success: TURN UPVEST'S DATA INTO A STRATEGIC PRODUCT FOUNDATION: Upvest is live across 20+ markets and serves over 2 million users, generating vast volumes of transactional, market, and client data. Today, this data's full potential remains untapped. Your first mission is to define and drive a data product strategy that transforms this asset into a competitive differentiator for our clients, our internal teams, and our regulators. You will establish a clear vision for how Upvest's data creates value: through client-facing insights, internal intelligence, and productised data capabilities embedded within the Investment API. You will set strategy, direction and partner closely with engineering and analytics to build the right foundations. SHIP AI PRODUCTS THAT SOLVE REAL PROBLEMS: AI is a core lever for scaling Upvest's platform, serving clients better, and building meaningful differentiation in the European investment infrastructure market. As Director of Data & AI, you will own the AI product roadmap end-to-end: identifying the highest-impact use cases, prioritising ruthlessly and driving them through to production. Whether deploying LLM-powered tooling for internal operations, building intelligent features into the Investment API, or enabling real-time risk and compliance signals — you will translate AI capability into productised value with clear ROI. You will help ship world class AI systems that are operationally robust and commercially meaningful in a regulated environment. BUILD AND LEAD A WORLD-CLASS DATA & AI PRODUCT FUNCTION: Upvest has highly capable data and analytics teams ready to be unlocked. Your mission is to give them the product leadership, direction, and strategic clarity they need to do their best work. You will define the operating model for the Data & AI product function — setting standards for discovery, delivery, and stakeholder alignment across Engineering, Compliance, Risk, Finance, and Product. You will be a builder and a multiplier: attracting great talent, coaching your team, and creating a culture of ownership and high standards. You will be the voice of data and AI in product and engineering leadership translating a technical vision into a clear, executable strategy that earns trust across the organisation and with our executive team. WHAT YOU CAN EXPECT FROM THIS ROLE: * Significant impact & strategic influence: End-to-end ownership of the Data & AI product function, directly shaping our product roadmap and business strategy. A seat at the table with engineering and product leadership. * Autonomy coupled with inspirational leadership: When we say empowered teams we mean it. In this role you will fully own product success with your teams — with your manager and senior leadership ready to support you at all times. * Product Engineering culture: Teams are working together guided by joint OKRs and a clear roadmap. Collaborate closely with your engineering counterparts to deliver client value in a decoupled and dynamic manner. * An exceptional team: Upvest is one of a kind when it comes to combining impactful work with a relaxed and fun atmosphere. We have established strong practices around feedback, team health and social events resulting in consistently high eNPS. * Continuous learning: The complex yet fascinating field of investments, building an API product on a state-of-the-art tech stack, and working with the most relevant fintechs and financial institutions provide for an incredibly rewarding learning experience. ROLE REQUIREMENTS * 7+ years in product and data management, with significant experience owning data, analytics, data science or AI products in B2B environments. * Proven track record in a regulated fintech, finance, or banking environment, with a deep understanding of API-first SaaS products. * Be a sponge! We don't need you to be a trading industry expert. But you will need to quickly absorb complex domains (e.g. data contracts, lakehouse architecture, MLOps) and combine that with your product management expertise. * Experience translating AI/ML capabilities including LLMs and ML systems into productised value with measurable ROI. * Fluency in modern data stacks: you don't need to build them, but you need to understand what they enable and how to prioritise investment (e.g. Kafka, Spark, Flink, Airflow, Dagster, Lakehouse/Warehouse patterns, MLOps). * Demonstrated ability to define and own a data and AI product roadmap with clear business outcomes. * Strong command of modern product toolkits: continuous discovery, outcome-focused roadmaps, OKRs, and fast validation cycles. * Proven experience creating cross-functional alignment across Engineering, Compliance, Risk, Finance, and senior leadership. * Experience building and scaling inclusive, high-performing product or data teams. HOW WE UPVEST IN YOU * Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. * Work with experts: Join a mission-driven engineering team solving hard, real-world problems at the intersection of AI and regulated financial infrastructure. * Professional development: Access an annual budget of €1,500 for personal and professional training to master your craft. * Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. * Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. * Flexible work environment: We are committed to flexibility — we understand you don't always have to be in the office to do your best work. * Team celebrations: Participate in company-wide events such as UpFest, dinners, offsites and our holiday party to connect with colleagues and celebrate our achievements. OUR VALUES: * Make it easy for others. We simplify the complex and act with the best intentions. * Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. * Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. * Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Vestiaire Collective

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh, and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spearhead the MLOps strategy with our Director of Data, prioritizing system maintainability, engineering hygiene, and the reliable deployment of complex models, ensuring all our ML models across the board deliver high-throughput, low-latency business impact. What You Will Do Short-Term Impact (First 6 Months): Partner closely with the Operations squads and Data Scientists to accelerate ML and RAG prototypes into resilient, production-ready code. You will directly integrate with the team to deploy, optimize, and scale heavy-width CV and VLM models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem. Mid-Term Foundation (MLOps Lifecycle & Infrastructure): Lead the end-to-end foundational groundwork of our ML lifecycle by designing robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring. You will scale infrastructure by automating continuous retraining pipelines that handle diverse deployment cadences (from daily fraud detection to weekly recommendations), design resilient multi-model architectures, and critically evaluate the technical overhead and TCO of our in-house tools against enterprise-grade platforms to ensure long-term resilience. Long-Term Vision (Centralizing 360-Degree MLE Capabilities): Act as a pioneer and cornerstone hire for the ML engineering discipline at Vestiaire Collective, setting the technical standards to help scale the AI/ML organization. You will transition into a centralized foundational role, moving beyond single-squad operations to mentor the team and provide horizontal ML infrastructure support to multiple domains, including Search, Discovery, Pricing, Marketing, and Data Platforms. Who You Are Must-Haves: Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems. Production Infrastructure: Proven expertise in deploying low-latency, high-throughput ML inference services (using FastAPI, TorchServe, Triton Inference Server, or Ray Serve) across both classical lightweight and heavy-width ML models (PyTorch/TensorFlow). Strong preference for AWS (EKS, EC2, SageMaker) / Snowflake and Open Source ecosystems over GCP/Azure. MLOps & Pipelines: Deep experience building automated, continuous model retraining pipelines to handle concept drift (ranging from daily to weekly cycles). You have orchestrated decoupled, multi-model AI architectures using tools like Airflow, Kubeflow, or Metaflow, and possess strong expertise in model registry and tracking tools like MLflow or Weights & Biases. Feature Stores: Hands-on experience evaluating, building, or extensively leveraging online (Redis, DynamoDB) and offline (Snowflake, S3) Feature Stores in a production environment. Familiarity with frameworks like Feast or custom dbt-based pipelines is highly valued. Strategic Builder Mindset: You are an analytical builder who thinks long-term. You can successfully evaluate TCO for bespoke internal systems versus enterprise tools, anticipate technical liabilities, and design robust architectures that handle unpredictable peak traffic surges. Collaboration & Engineering Hygiene: Strong cross-functional communication skills. You excel at translating complex ML prototypes into highly scalable production code backed by strict version control, rigorous testing, and CI/CD best practices, seamlessly connecting data science innovation with backend engineering execution. Nice-to-Haves: Relevant Domain Expertise: Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection. Vision, Edge & Optimization: Hands-on experience with Vector Databases, Visual RAG pipelines, deploying Deep Learning VLM models, and optimizing models for edge computing or low-latency inference (e.g., ONNX, TensorRT). Infrastructure & Observability: Advanced experience with containerization (Docker, Kubernetes), Infrastructure as Code (Terraform), and data transformation workflows (dbt). Familiarity with setting up advanced monitoring for model performance, concept drift, and system health (Datadog, Prometheus).

Doctolib

TOGETHER, WE SHAPE THE FUTURE OF HEALTHCARE We are looking for you as a Senior Operational Excellence Specialist to support our Operational Excellence team in Berlin.   As Senior Operational Excellence Specialist, you take on a central role in the further development, scaling, and continuous optimization of our operational processes in Customer Operations at Doctolib Germany. With a clear focus on Customer Care, you identify and implement both tactical and strategic improvements together with Customer Care, always with the goal of sustainably increasing our service quality and customer satisfaction. You work closely with management as well as relevant interfaces, use data-driven analyses and KPIs as the basis for well-founded decisions, and ensure transparent, impactful reporting. YOUR RESPONSIBILITIES * Performance monitoring and management: You develop tactical and strategic KPIs and set up automated dashboards to measure and manage Customer Operations performance * Process improvement: You analyze existing processes, uncover weaknesses and inefficiencies, and implement sustainable process improvements, including tooling and automation * AI-driven process design: You rethink Customer Operations workflows and design them with AI. You identify tasks with high automation potential, conceive the interplay between humans and AI agents as one system, and step by step elevate processes to a higher level of automation and quality * Budget planning: You create budget, cost, and capacity planning for Customer Care, manage it based on data, and specifically identify efficiency potential to ensure consistently high service quality with optimal use of resources * Data-driven decision-making: You ensure that operational decisions are made on the basis of sound analyses and clearly defined KPIs. You foster a culture of Operational Excellence across the entire team while always keeping the customer experience in focus * Collaboration & communication: You work closely with all relevant stakeholders and departments to think through and implement process improvements end to end. You present findings and recommendations clearly and appropriately tailored to stakeholders and management, always with an eye on adding value for the Customer Care area YOUR PROFILE Are you convinced that you bring exactly what this position needs? Then we encourage you to apply. Even if you don't meet every single requirement, you might still be exactly the right future Doctoliber for this or other positions!   To become part of our team, you bring the following: * 5+ years of experience in strategy consulting, business performance management, Operational Excellence roles (Sales, Account Management, Operations, Logistics), or similar roles * A proven track record of using data analysis to support business decisions and improve performance, ideally with a strong connection to Customer Care or Customer Operations * Experience leading cross-functional project teams and managing and organizing multiple parallel projects and initiatives * Strong analytical skills and the ability to synthesize complex data into clear, actionable insights * You handle AI tools and agents with confidence, you equip agents with the right context, manage their use responsibly, and assess the quality of their output with sound judgment; ideally, you already have some experience redesigning processes with AI * Excellent communication and presentation skills, with the ability to influence and engage stakeholders at all levels We would also be particularly interested in: * Knowledge of statistics as well as data analysis tools, methods, and software (e.g., MetaBase, Google Sheets); SQL is a plus * Experience with CRM and/or Customer Success tools such as Salesforce; a Lean Six Sigma certificate is a plus * Business-fluent English (minimum C1) as well as solid German skills (minimum B1) required WHAT WE OFFER YOU * A Deutschlandticket sponsored by Doctolib if you work from the office or in a hybrid model * 28 days of vacation + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) * The option to work from abroad for 10 days per year * Supplementary company health insurance with individual additional benefits (including teeth cleaning and more) * A company pension scheme (bAV) with a 40% employer contribution (15% during the probationary period) * Participation in Doctolib's long-term employee share program, DoctoGrowth * The Doctolib Parent Care Program, which includes extra parental leave (1 month) and more * Free mental health and coaching sessions through an external partner * In addition to healthy snacks and a regular breakfast buffet, we offer meal vouchers * A subsidized sports program with our partner Urban Sports Club * For caregivers and employees with disabilities, an offer including more flexible working hours, additional medical leave, and psychological support THE INTERVIEW PROCESS * Interview with your TA Partner * Introductory meeting with our Head of Operational Excellence * Peer interview * Case study with the Director of Operations * Final interview * At least two reference checks by phone JOB DETAILS * Permanent contract * Full-time * Berlin * Hybrid working model (3 days in the office per week) * Starting immediately We pursue the vision of improving everyone's health. This is also reflected in our recruiting. We evaluate applications solely on the basis of qualifications and motivation. We do not tolerate discrimination. The more diverse our team and ideas are, the more our product will be able to improve the health of our users. That's why we invite you to apply, regardless of gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunity, you can omit information such as photos, age, etc. from your application. Please let us know what accommodations we can make to support you in the best possible way. We look forward to digitalizing healthcare together with you! All information provided will be processed by Doctolib for application management purposes. For details on data processing, please click here. If you have any questions or wish to exercise your rights, please contact hr.dataprivacy(at)doctolib.com. #LI-MZ1