Senior Technical Product Manager — Gen

You will drive the development of AI solutions spanning both Machine Learning and Generative AI that empower N26's teams and help the bank lead the financial industry through technology. Working at the intersection of cutting-edge technology and real-world banking, you will turn sophisticated models into scalable products that improve efficiency, compliance, and customer experience.

What you'll do

• Partner strategically with senior product leadership 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, and personalizing B2C customer growth and marketing journeys.
• Lead end-to-end delivery for complex Machine Learning and GenAI initiatives—from initial hypothesis, data scoping, and model evaluation to production deployment and post-launch monitoring.
• 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.
• Manage delivery while balancing innovative AI capabilities with strict security, auditability, data privacy, and reliability standards expected of a regulated bank.
• Define standards, blueprints, and self-service toolkits that allow product squads across N26 to integrate AI capabilities into their own features safely and independently.

What you'll need

• 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.
• Hands-on experience taking GenAI products from concept to live production, including direct experience with Retrieval-Augmented Generation (RAG), agentic workflows, and multi-agent orchestration systems.
• Experience within high-volume, highly scalable technical domains such as B2C FinTech, E-Commerce, or high-traffic consumer tech.
• Comprehensive expertise navigating the full AI product lifecycle, including problem scoping, data ingestion, model training, evaluation framework design, deployment, and continuous retraining.
• Background grounded in traditional Machine Learning methodologies paired with hands-on expertise in modern LLM architecture.
• Strong grasp of AI technical fundamentals with the ability to evaluate trade-offs between Large Language Models and deterministic ML/rule-based logic.
• Proficiency in defining and translating offline model evaluation metrics into tangible business KPIs and operational ROI.
• Strong collaboration skills within Agile environments, coupled with understanding of financial services constraints including GDPR, data residency, and EU AI Act requirements.

What they offer

• Competitive personal development budget, work from home budget, and wellness memberships.
• Premium N26 bank account subscription and access for friends and family.
• Additional day of annual leave for each year of service.
• High degree of autonomy and access to cutting-edge technologies.
• Relocation package with visa support for those who need it.