Product Manager, Fraud Data

📋 Description

• Own the Protect feature roadmap and measure coverage.
• Build and manage the labeling pipeline with feedback loops.
• Define product requirements for fraud vector scores and outputs.
• Partner with data scientists and ML engineers to align needs.
• Collaborate with GTM and Protect PM on value propositions.

🎯 Requirements

• Real hands-on fraud prevention: vectors, detection, risk signals.
• Direct experience with data scientists/ML engineers to ship data-driven products.
• Nice to have: experience at a fraud vendor or fintech/bank.
• Nice to have: ML model inputs/outputs; feature engineering and offline evaluation.
• Nice to have: specialization in a fraud vector (ATO, synthetic identity, or first-party fraud).

🎁 Benefits

• Equal opportunity employer with diverse workforce.
• Reasonable accommodations in recruiting for candidates with disabilities.
• Comprehensive medical, dental, vision, and 401(k) benefits.
• Candidate privacy notice and data handling transparency.