Senior Product Manager, Fraud Detection & ID Verification
We’re hiring a Senior PM to own a fraud detection engine responsible for detecting document fraud and verifying identity document integrity. This is a highly technical, execution-focused role, approximately 70% product development, 30% go-to-market combining machine learning, computer vision, and fraud decisioning.
What You’ll Do
Detection & Roadmap
• Own roadmap and execution for a fraud detection engine covering injection attacks, deepfakes, and document manipulation
• Partner with Data Science to define, evaluate, and improve model performance across fraud vectors
Decisioning & Risk Logic
• Design and evolve decisioning frameworks that translate model outputs into actionable outcomes
• Build configurable logic supporting diverse customer risk profiles while balancing fraud detection performance with conversion impact
Data & Performance
• Write SQL to evaluate model performance, decisioning outcomes, and conversion impact
• Define and track key metrics: detection rates, precision/recall, false positive rates, and UX impact
Cross-Functional & GTM
• Translate product requirements into technical execution with Engineering and Data Science
• Partner with Fraud Investigation, Customer Success, and Sales to align on product behavior and outcomes
• Work directly with customers on fraud edge cases, operational needs, and complex implementations
What You Bring
Required
• 3–5 years of PM experience in identity verification, fraud prevention, or ML-driven products
• Hands-on familiarity with the ML lifecycle: data labeling, model training, deployment, and monitoring
• Exposure to computer vision, OCR, or image processing
• Experience with fraud detection, identity verification flows, or risk-based decisioning
• SQL proficiency: can write queries independently to evaluate model and product outcomes
• Technical fluency in APIs, databases, and product architecture
• Proven cross-functional partnership with Data Science and Engineering as a contributor, not just a stakeholder
Nice to Have
• Data science or engineering background
• Experience in public sector or financial services identity/fraud products