Product Manager - AI Products

We are seeking a Product Manager for AI Products 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.

Our AI Products team acts as a central hub of innovation. We don't just build features; we build and manage AI capabilities that allow every other part of the bank - from Financial Crime and Risk to Growth and Marketing - to become smarter. You will work at the intersection of cutting-edge technology and real-world banking, turning sophisticated models into scalable products that improve efficiency, compliance and the customer experience.

• Work hand-in-hand with Senior Product Leadership. You will work closely with different PMs to align your roadmap with the broader company-wide AI strategy, while maintaining autonomy over your specific work-streams.

• Drive business impact. Focus on high-impact areas such as augmenting our Operations, enhancing fraud detection (FinCrime), and personalising marketing efforts.

• Own the execution of key AI initiatives. You will lead the end-to-end lifecycle for specific Machine Learning and GenAI projects, moving from initial concept to full-scale production.

• Partner with Data Science Experts. Act as the bridge between technical experts (Data Scientists, ML Engineers) and business or Product stakeholders to ensure our models solve real user problems.

• Balance delivery. Manage the day-to-day delivery of AI products, ensuring a healthy balance between launching innovative new features and maintaining the high security and reliability standards expected of a bank.

• Empower other teams. Support creation and sharing of "blueprints" and toolkits that allow other product teams across N26 to integrate AI into their own features autonomously and safely.

• 2+ years of experience as a Product Manager in a technology-driven environment, with a clear track record of shipping products powered by AI or Machine Learning.

• Technical literacy. A strong grasp of AI fundamentals, including an understanding of when to use Large Language Models (LLMs) versus traditional ML methodologies (like classification or regression models).

• Data-driven mindset. Comfort working with complex datasets and the ability to define and track the right KPIs to measure model performance and business value.

• Effective collaboration. Experience working within an Agile environment and a proven ability to manage multiple stakeholders across different departments.

• Communication. The ability to translate complex technical concepts into clear, actionable updates for non-technical partners, bridging the gap between Data Science and Product or Business teams.

• Regulation awareness. Experience in the financial services industry is a strong plus, as it helps in understanding the importance of compliance and security.

• Innovation. You stay up-to-date with the latest AI trends and are always looking for ways to apply them to improve the status quo.

• Pragmatism. You have a "bias for action" and know how to prioritize the most impactful work in a fast-paced environment.

• Reliability. You take pride in the quality and resilience of your work, ensuring that what we build is robust enough for a global banking platform.

• Team Player. You enjoy working in a collaborative setting where you learn from others and share your own expertise.

• Accelerate your career growth by joining one of Europe’s most talked about disruptors.

• Employee benefits that range from a