About the opportunityWe are seeking a seasoned Senior Product Manager to join the “Intelligent Operations Platforms” (IOP) segment. In this role, you will drive the development of AI solutions - spanning both Machine Learning and Generative AI - that empower our teams and help N26 lead the financial industry through technology.Partner Strategically with Senior Product Leadership: Work closely with cross-functional PM leads to shape and align your domain roadmap with N26’s broader company-wide AI strategy, maintaining full autonomy over complex, high-stakes workstreams.Focus on high-impact areas, including automating back-office Operations, enhancing real-time fraud and AML detection (FinCrime), and personalizing B2C customer growth and marketing journeys.Own the Production AI Lifecycle: Lead end to end delivery for complex Machine Learning and GenAI initiatives—moving from initial hypothesis, data scoping, and model evaluation harnesses to production deployment and post-launch monitoring.Bridge Engineering and Business Strategy: Act as the technical sparring partner for Data Scientists and ML Engineers, translating business constraints into model requirements and ensuring technical architectures solve real consumer and operational problems.Balance Velocity with Banking Rigor: Manage day-to-day delivery, maintaining a healthy balance between launching innovative AI capabilities and upholding the strict security, auditability, data privacy, and reliability standards expected of a regulated bank.What you need to be successful:Background:5+ years of Product Management experience in a technology-driven environment, with a proven track record of owning and shipping production-grade AI/ML capabilities.You must have direct experience building with concepts like Retrieval-Augmented Generation (RAG), Agentic workflows (ReAct framework,



state/memory management, function-calling), and multi-agent orchestration systems. (Comprehensive expertise navigating the full AI product lifecycle, including problem scoping, target metric definition, data ingestion/labeling, model training/fine-tuning, evaluation framework design, deployment, latency optimization, and continuous retraining.Data-Driven & Model Evaluation Mindset: Proficiency in defining, tracking, and translating offline model evaluation metrics (precision, recall, F1, confidence thresholds, hallucination rates) into tangible business KPIs and operational ROI.Strong collaboration skills within Agile environments, coupled with an understanding of financial services constraints (GDPR, data residency, EU AI Act, risk governance, and security controls).Uncompromising standards for system resiliency, ensuring all AI-driven platform features are robust enough for a general banking infrastructure.Technical Collaboration: Comfortable speaking the same technical language as Principal Data Scientists and Platform Engineers while translating complex model behavior into clear updates for non-technical leadership.Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.A relocation package with visa support for those who need it.Who we areN26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages.

📌 Senior Technical Product Manager — GenAI & Agentic Systems (Barcelona)
🏢 N26
📍 Barcelona