Overview In this role, you drive the development of AI capabilities that empower multiple bank teams to operate smarter and deliver enhanced customer experiences. You will shape a cross-functional AI product roadmap aligned with N26’s AI strategy, lead end-to-end AI/ML initiatives, and ensure scalable, compliant delivery in a regulated banking environment. You’ll translate model requirements into practical product features while balancing speed and security. This is an opportunity to shape AI platforms that anchor the bank’s operational excellence and growth.

Compensaciones / BeneficiosPersonal development budgetWork-from-home budgetFitness & wellness discountsLanguage appsPublic transportation discountsPremium N26 bank account subscriptions ResponsabilidadesPartner with senior product leadership to align domain roadmaps with the company-wide AI strategy and maintain autonomy over complex workstreamsOwn end-to-end production AI lifecycle from hypothesis through deployment and monitoring for ML/GenAI initiativesBridge engineering and business strategy by translating constraints into model requirements for data scientists and ML engineersBalance high-velocity AI delivery with banking rigor, ensuring security, auditability, data privacy,



and reliabilityDefine standards, blueprints, and self-service toolkits to enable autonomous AI adoption across product squads across N26 Requisitos principales5+ years of Product Management experience in a technology-driven environment with a track record of shipping production-grade AI/ML capabilitiesHands-on GenAI product development experience including Retrieval-Augmented Generation (RAG), Agentic workflows (ReAct, memory management, function-calling)Experience in high-volume, scalable B2C domains (FinTech, E-Commerce or similar)Full AI/ML lifecycle expertise: problem scoping, data ingestion/labeling, model training/fine-tuning, deployment, monitoring, retrainingAbility to evaluate trade-offs between LLMs and deterministic ml logic considering cost, latency, explainability, and accuracyStrong cross-functional and regulatory awareness in Agile settings (GDPR, data residency, EU AI Act, risk governance, security controls)Cross-functional collaborationPragmatic action biasProduction reliability mindsetTraditional ML (classification, regression, ranking/recommendation)GenAI and large language model architecturesRetrieval-Augmented Generation (RAG)

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