Head of AI Products
N26
Seniority
Director
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
N26 is looking for a Head of AI Products to partner with the AI and Data Science teams. You will own the AI product roadmap and lead a team of product managers delivering ML and GenAI use cases that drive real impact across N26 — from operational efficiency and financial crime detection to customer-facing intelligence.
What you'll do
- Own and drive the AI product roadmap across ML and GenAI initiatives, balancing near-term delivery with strategic bets
- Partner closely with the different N26 Product Segments and with the AI & Data Science team on priorities, planning cycles, and shared OKRs
- Lead the end-to-end product lifecycle for AI initiatives — from problem framing and opportunity sizing through development, launch, and iteration
- Define and roll out AI product best practices across the organization — including the AI product lifecycle, collaboration model with Data Science, evaluation frameworks, guardrails, and progressive rollout standards
- Manage and develop a team of 2-3 AI Product Managers, fostering a culture of experimentation, rigor, and user-centricity
- Act as a trusted advisor to other PTX teams looking to integrate AI into their products, sharing best practices and lessons learned
- Define and track KPIs that measure both model performance and business value, ensuring accountability for outcomes
What you'll need
- 5-7+ years of product management experience, with a significant portion focused on AI, ML, or data-driven products
- Proven experience partnering with Data Science and AI experts — you understand how DS and AI works and know how to turn models into products
- Strong technical literacy — you can distinguish between ML and GenAI approaches, understand trade-offs, and engage credibly with technical teams
- Data-driven mindset — comfort working with complex datasets, defining meaningful KPIs, and making decisions grounded in evidence
- Excellent communication skills — the ability to translate complex technical concepts for non-technical audiences and align diverse stakeholders around a shared vision
Nice to have
- Financial services experience and familiarity with regulatory requirements, compliance considerations, and the operational realities of banking

