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Technical Product Manager - Applied Machine Learning
ICT
Company shared salary
NA
Market rate
6,500 EUR–9,000 EUR/mo (78,000 EUR–108,000 EUR/yr)
Based on similar roles (title + domain + location).
About the Company
N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. Do you see yourself thriving in this role We'd love to see your application even if you don't meet 100% of the criteria. You may just be the right fit for this or other roles Equal opportunities for all At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages. We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We're here to support you Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion
Requirements
- ● Background & Experience:
- ● + years of experience as a Product Manager in a technology-driven environment.
- ● Hands-on experience with, or a very strong interest in, data products, analytics, or Machine Learning workflows.
- ● Technical & Domain Skills:
- ● Data Fluency & SQL: Highly comfortable querying and analyzing datasets independently. Strong ability to use SQL and data visualization platforms to evaluate model impact and validate hypotheses.
- ● Core ML Fundamentals: Solid understanding of basic machine learning concepts, including classification, regression, decision trees, and the standard model lifecycle from data collection to deployment.
- ● Model Evaluation Understanding: Ability to translate technical model evaluation metrics such as precision, recall, and F1 score into practical operational outcomes like saved handling hours or reduced fraud losses.
- ● Technical Communication: Skill in translating complex business rules into precise requirements for engineers, while clearly explaining model outputs and limitations to operational teams.
- ● Execution Bias: Focus on delivering pragmatic, incremental value quickly rather than waiting for perfect data.
- ● Analytical Problem Solver: Curious about complex backend processes, with a natural drive to uncover the root cause of operational friction.
- ● Banking Quality Standard: Respect for the security, compliance, and data privacy requirements necessary when shipping software within a regulated financial institution.
- ● What's in it for you:
- ● Accelerate your career growth by joining one of Europe's most talked-about disruptors and getting hands-on experience in the high-demand field of ML Product Management.
- ● Employee benefits that range from a competitive personal development budget, work-from-home budget, discounts to fitness & wellness memberships, language apps, and public transportation.
- ● As an N26 employee, you will have access to a Premium subscription on your personal N26 bank account, as well as subscriptions for friends and family members.
- ● An additional day of annual leave for each year of service.
- ● A high degree of autonomy and access to cutting-edge technologies-all while working with a friendly team of peers of diverse nationalities, life experiences, and backgrounds.
- ● A relocation package with visa support for those who need it.
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