N26 has reimagined banking for today's digital world, building a global banking platform.
Headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona.
Responsibilities
Drive the Core ML Platform Vision: define and execute the multi-year roadmap for the central Machine Learning platform.
Lead High-Volume ML Portfolios: oversee complex predictive ML capabilities supporting high-throughput banking systems.
Scale Enterprise MLOps Infrastructure: own platform tooling and standards across the full ML lifecycle.
Establish Model Evaluation and Governance: define robust offline and online model evaluation frameworks.
Bridge Technical Leadership and Compliance: partner closely with Principal Data Scientists, ML Engineers, Security, and Legal stakeholders.
Elevate and Mentor the PM Function: establish best practices, PRD standards, and self-service ML integration blueprints.
Requirements
7+ years of Product Management experience in a technology-driven environment, with at least 4 years focused on ML platform capabilities or data infrastructure.
Proven track record of shipping ML products within high concurrency and low latency environments.
Demonstrated experience leading multi-squad initiatives and presenting to C-level executives.
Deep ML and MLOps literacy: classification, regression, clustering, anomaly detection, ranking; Kafka event streams, feature stores, vector databases, automated retraining.
Proficient in defining model performance metrics like precision, recall, ROC-AUC, and F1-score.
Strong ability to evaluate technical trade-offs between real-time inference and batch scoring.
Deep understanding of regulatory constraints around automated financial decisioning, GDPR, and audit trails.
Conditions
Employee benefits including a competitive personal development budget, work from home budget, fitness & wellness discounts, and public transportation subsidies.
A Premium N26 bank account subscription for you, plus subscriptions for friends and family.
An additional day of annual leave for each year of service.
High autonomy to drive the ML technical agenda.
A relocation package with visa support for those who need it.