Product Manager - Anti Fraud
Quick Summary
Partner with Analytics and Data Science teams to define detection problems, establish data labels and success criteria,
Join an innovative technology environment building large-scale cloud infrastructure that powers the global AI economy. As Product Manager – Anti-Fraud, you will lead the development of products and systems designed to detect, prevent, and respond to fraud across the entire customer lifecycle. From payment fraud and account takeovers to compute abuse and coordinated exploitation, you will tackle complex challenges that directly affect platform security, operational efficiency, and business sustainability. Working at the intersection of Trust & Safety, Payments, Risk, Data Science, and Engineering, you will turn sophisticated risk problems into scalable product solutions. Your mission will be to protect infrastructure and legitimate customers while keeping unnecessary friction to a minimum. This is an opportunity to take meaningful ownership in a fast-moving, international environment where analytical thinking, technical collaboration, and measurable impact are essential.
Responsibilities
~1 min read- →
Machine learning detection systems: Familiarity with ML-based fraud detection and the operational lifecycle of models, including monitoring, drift detection, and retraining.
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Cloud and compute abuse prevention: Experience addressing abuse patterns specific to cloud or GPU platforms, including unauthorized mining, credential stuffing, account farming, and systematic exploitation of free-tier resources.
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Risk tooling and operational workflows: Experience building internal investigation tools, risk-scoring systems, automated enforcement workflows, or fraud operations platforms.
What We Offer
~2 min readLocation & Eligibility
About this job
- Who can apply
- Netherlands
- Posted
- Today
Listing Details
- Posted
- October 23, 2026
- First seen
- October 23, 2026
- Last seen
- October 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 23, 2026
Signal breakdown
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