1,497,228open jobs
90,436companies
227,881added this week
Browse all
Salary
≈ $69k – $150k per year (Estimated)
Location
In office (Berlin, Barcelona)
Seniority
Staff · 7+ years exp
Visa
Sponsorship offered in the posting

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 9, 2026. N26 scores B on the Alion truth index.

Overview
Company
Impact
Profile match

N26

Headquartered in Berlin, Germany, N26 is a digital neobank providing mobile-first personal and business banking services across Europe. Founded in 2013, the fully licensed bank offers checking accounts, sub-account savings tools ("Spaces"), crypto trading, automated budgeting, real-time transaction tracking, and personal lending solutions through an intuitive mobile application. Operating without physical branches, the organization enables retail consumers and freelancers to manage daily finances, international transfers, and personal investments with digital convenience and operational transparency.

About the opportunity

We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency.

Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems.

In this role, you will

  • Drive the Core ML Platform Vision:Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals.
  • Lead High-Volume ML Portfolios:Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning.
  • Scale Enterprise MLOps Infrastructure:Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML.
  • Establish Model Evaluation and Governance:Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation.
  • Bridge Technical Leadership and Compliance:Partner closely with Principal Data Scientists, ML Engineers, Security, and Legal stakeholders to ensure models meet strict European banking governance, explainability, and auditability standards.
  • Elevate and Mentor the PM Function:Serve as a functional leader within the product organization. Establish best practices, PRD standards, and self-service ML integration blueprints while mentoring Product Managers in the team.

What you need to be successful

Background & Experience

  • 7+ years of Product Management experience in a technology-driven environment, with at least 4 years deeply focused on building, scaling, and managing core Machine Learning platform capabilities or data infrastructure.
  • High-Volume B2C Scale:Proven track record of shipping ML products within high concurrency and low latency environments such as FinTech, payment processors, or high-scale consumer tech platforms.
  • Strategic & Portfolio Leadership:Demonstrated experience leading multi-squad initiatives, shaping platform strategy across cross-functional engineering triads, and presenting to C-level executives and regulatory bodies.

Technical & Domain Skills

  • Deep ML and MLOps Literacy:Hands-on understanding of predictive ML methodologies including classification, regression, clustering, anomaly detection, and ranking. This must be paired with architectural mastery of modern MLOps pipelines such as Kafka event streams, feature stores, vector databases, and automated retraining.
  • Analytical and Evaluation Rigor:Highly proficient in defining model performance metrics like precision, recall, ROC-AUC, and F1-score, with a clear ability to translate them into business ROI such as reduced false-positive fraud blocks or manual review cost savings.
  • Latency and System Trade-Offs:Strong ability to evaluate technical trade-offs between real-time inference and batch scoring, feature compute complexity and latency SLAs, and model accuracy versus explainability.
  • Financial Governance and Compliance:Deep understanding of regulatory constraints around automated financial decisioning, model transparency, data privacy under GDPR, and audit trails in regulated environments.

Traits

  • Platform Visionary:Ability to abstract domain-specific requirements into reusable horizontal ML services consumed by multiple engineering squads.
  • Decisive Technical Leader:Comfortable navigating ambiguity, making high-stakes technical trade-off decisions, and prioritizing foundational infrastructure investments alongside feature delivery.
  • Uncompromising Quality Standard:High bar for system resilience, monitoring, and fail-safe mechanisms, recognizing that core banking engines demand 99.99% reliability.

What’s in it for you

  • Accelerate your career growth by leading core infrastructure at one of Europe’s premier digital banks.
  • 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, working with a diverse, international team of peers.
  • A relocation package with visa support for those who need it.

Who we are

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.

Sounds good? Apply now for this position.

Equal Opportunities

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to [email protected].

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,497,228 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
Berlin
≈ $66k – $121k per year (Estimated) • In office • Full-Time • Madrid • Almería • Barcelona • Seville • Málaga
Databases
Snowflake
AI/ML
AutoGen
LangChain
AI Agents
CrewAI
DevOps
Azure
AWS
Management
Agile
Apply
≈ $59k – $108k per year (Estimated) • Hybrid • 5+ years exp • Bachelor's Degree • Spain • Bulgaria
Management
Agile
Apply
≈ $50k – $125k per year (Estimated) • In office • Madrid
Apply
≈ $46k – $131k per year (Estimated) • In office • Internship • 1+ year exp • Bachelor's Degree • Pozuelo de Alarcón
SQL
Databases
Databricks
Apache Kafka
AI/ML
Hugging Face
Amazon SageMaker
DevOps
GCP
Azure
AWS
Cybersecurity
GDPR
Management
Confluence
Agile
Apply
≈ $97k – $177k per year (Estimated) • Hybrid • Internship • 5+ years exp • Pozuelo de Alarcón
AI/ML
Copilot
AI Agents
Agentic Workflows
Management
Agile
Scrum
Apply
$179k – $232k per year • Equity • In office • Full-Time • Bachelor's Degree • Mountain View • Bellevue
Python
Databases
Apache Kafka
AI/ML
Ray Serve
Spark
Prefect
PyTorch
Ray
KServe
Triton
Feature Store
Machine Learning
DevOps
GCP
Prometheus
AWS
Kubernetes
Grafana
Game Dev
Unity
Apply
≈ $40k – $92k per year (Estimated) • Hybrid • Full-Time • 4+ years exp • Toronto
Python
Java
SQL
C#
DevOps
Azure DevOps
Azure
CI/CD
Jenkins
Management
Agile
Scrum
QA
Selenium
Apply
$151k – $165k per year • In office • Public Trust • High School Diploma • Washington
SQL
C#
DevOps
Azure DevOps
Azure
CI/CD
Analytics
Power BI
Management
SharePoint
Agile
QA
Selenium
Apply
$165k – $224k per year • Equity • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • San Francisco
Python
JavaScript
TypeScript
SQL
ABAP
ABAP
CDS Views
Databases
SAP HANA
DynamoDB
Amazon Redshift
AI/ML
Copilot
LangGraph
LangChain
Claude
Model Context Protocol
AI Agents
AWS Bedrock
Agentic Workflows
DevOps
Rest API
Terraform
CloudFormation
CI/CD
AWS
AWS Fargate
AWS Lambda
Amazon S3
IAM
Amazon ECS
AWS Step Functions
API Gateway
SOAP
QA
Postman
Apply
≈ $59k – $98k per year (Estimated) • Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • Kraków
SQL
C#
C++
C#
.NET
Databases
Apache Kafka
AI/ML
Time Series Forecasting
DevOps
Rest API
Helm
Azure DevOps
Azure
Git
Docker
Kubernetes
IoT
OPC UA
Apply
≈ $70k – $151k per year (Estimated) • In office • 7+ years exp • Barcelona
Databases
Apache Kafka
AI/ML
Anomaly Detection
Feature Store
Machine Learning
DevOps
CI/CD
Cybersecurity
GDPR
Apply
≈ $39k – $100k per year (Estimated) • In office • 4+ years exp • Berlin • Barcelona
DevOps
CI/CD
Management
Agile
Apply
≈ $39k – $101k per year (Estimated) • In office • 4+ years exp • Barcelona
DevOps
CI/CD
Management
Agile
Apply
≈ $66k – $118k per year (Estimated) • Remote (Spain) • 5+ years exp • Barcelona
SQL
AI/ML
Prompt Engineering
AI Agents
EU AI Act
DevOps
AWS
Cybersecurity
GDPR
Analytics
Power BI
Apply
≈ $66k – $118k per year (Estimated) • Remote (Spain) • 5+ years exp • Berlin • Barcelona
SQL
AI/ML
Prompt Engineering
AI Agents
EU AI Act
DevOps
AWS
Cybersecurity
GDPR
Analytics
Power BI
Apply
≈ $25k – $41k per year (Estimated) • In office • Full-Time • Berlin
Management
Microsoft Office
Apply
≈ $27k – $43k per year (Estimated) • In office • Internship • Bachelor's Degree • Berlin
Analytics
Microsoft Excel
Apply
$54k – $79k per year • In office • Full-Time • Berlin
Julia
DevOps
VMWare
Windows
TCP/IP
Cybersecurity
Active Directory
Apply
≈ $50k – $106k per year (Estimated) • In office • Berlin
Apply
$59k – $76k per year • In office • Full-Time • Berlin
Apply
See all jobs
This is one of many
1,497,228 more open roles from verified company boards, updated every day.