N26 provides digital banking services through a general banking platform. It has eliminated physical branches, paperwork, and hidden fees to offer a digital banking experience and savings products.
Deliver features from discovery through deployment in partnership with Senior and Lead Product Managers Connect Data Scientists, ML Engineers, and business stakeholders; translate operational pain points into technical specifications, user stories, and acceptance criteria Deliver predictive models to automate back-office tasks, accelerate document verification, and improve fraud detection accuracy Define, track, and analyze live model performance metrics, including production accuracy, latency, and false positive rates, and identify opportunities for retraining and optimization Partner with engineering leads to groom product backlogs, write user stories, and participate in daily sprint rituals while maintaining security standards.
Hands-on experience with, or a strong interest in, data products, analytics,



or Machine Learning workflows Independently query and analyze datasets using SQL and data visualization platforms
~ Understand machine learning concepts, including classification, regression, decision trees, and the model lifecycle from data collection to deployment
~ Investigate complex backend processes and identify root causes of operational friction
~ Respect security, compliance, and data privacy requirements in regulated financial institutions

Employee benefits include a personal development budget, work-from-home budget, fitness and wellness membership discounts, language apps, and public transportation Premium subscription to a personal N26 bank account, plus subscriptions for friends and family members One additional day of annual leave for each year of service Relocation package with visa support for those who need it.
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📌 Senior Product Manager (Machine Learning) (Barcelona)
🏢 N26
📍 Barcelona