О компании
N26 — ведущий диджитал-банк в Германии. Размер команды — 1500+, инвестиции — $1,7B+.
Обязанности
- Execute the ML Product Roadmap: Partner closely with Senior and Lead Product Managers to deliver on the broader machine learning strategy, taking ownership of feature delivery from initial discovery through deployment
- Bridge Data Science and Operations: Act as the day-to-day connector between Data Scientists, ML Engineers, and business stakeholders. Translate operational pain points into clear technical specifications, user stories, and acceptance criteria
- Drive Operational and FinCrime Automation: Deliver predictive models that solve concrete internal bottlenecks, focusing on automating back-office tasks, accelerating document verification, and improving fraud detection accuracy
- Monitor Model Health and Business KPIs: Define, track, and analyze performance metrics for live models. Monitor production accuracy, latency, and false positive rates to identify opportunities for continuous retraining and optimization
- Drive Squad Backlog Execution: Partner with engineering leads to groom product backlogs, write detailed user stories, and participate in d
Требования
- 4+ года опыта работы Product Manager в технологической среде
- SQL