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About the Role
As Product Manager, Anti-Fraud, you will own the product roadmap for systems that detect, prevent, and respond to fraud and abuse across the customer lifecycle. You will balance stopping bad actors with minimizing friction for legitimate customers, working at the intersection of Trust & Safety, Payments/Billing, Risk, Data Science, and Product Engineering.
Responsibilities
- Own the end-to-end anti-fraud product roadmap, including signup/KYC checks, payment fraud detection, account takeover protection, and compute-abuse prevention.
- Own the rules and risk-scoring surfaces, enabling analysts and data scientists to define, test, and deploy detection rules and ML models.
- Own the manual review and case-management experience for the Trust & Safety operations team.
- Own customer-facing friction points, such as verification flows and appeals, to protect the legitimate user experience.
- Identify fraud and abuse incidents early by defining signals, alerts, and thresholds.
- Participate in incident reviews and post-mortems to capture root causes and drive improvements.
- Ensure timely response to active incidents by driving triage, ownership, and mitigation.
- Write clear PRDs and specs to translate risk problems into engineering and data-science work.
- Partner with the Analytics team on detection models, defining problems, labels, and success criteria.
- Run experiments and monitor rollouts, tracking fraud-catch metrics and false-positive impact.
- Work with Legal/Compliance to align detection and enforcement with relevant regulations and requirements.
- Track and report on fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection.
Requirements
- Proven product management experience in fraud, risk, trust & safety, or payments.
- Strong analytical skills, comfortable with data, SQL or equivalent, and reasoning about precision/recall trade-offs and metrics.
- Ability to make decisions under ambiguity and balance security, business, and customer-experience priorities.
- Solid collaboration with engineering and data science, capable of technical conversations about signals, features, and model behavior.
- Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products.
- Understanding of payment fraud, chargebacks, KYC/AML, or device/network signals.
Skills
- Product Management
- Fraud Detection
- Risk Management
- Trust & Safety
- Payments
- Data Analysis
- SQL
- ML-based detection systems
- Abuse patterns specific to compute or GPU platforms
Location
- Amsterdam
Work Type
- Full-time
Experience Level
- Proven product management experience
Salary/Compensations
- Competitive compensation
Benefits
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
About the Company
- Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform.
- The platform supports developers and enterprises from data and model training through to production deployment.
- Built by engineers, for engineers, Nebius addresses challenges in large-scale GPU orchestration and inference optimization.
- Listed on Nasdaq (NBIS) and headquartered in Amsterdam, Nebius has a global footprint with R&D hubs across Europe, the UK, North America and Israel.
- The team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Equal Opportunity
- Nebius is an equal opportunity employer committed to fostering an inclusive and diverse workplace.
- We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
- Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility.
- Accommodations are available during the application process.