Role Overview

We're looking for a sharp, self-driven Senior Manager to join our growing Trust & Safety team. You'll own the full fraud lifecycle — from individual order review to designing AI-enabled detection strategies and presenting risk exposure to executive leadership. This is a forward-looking role: you'll connect the dots across data, drive findings to resolution, and bring new ideas before problems escalate. You'll work across Product, Engineering, Decision Science, Compliance, CX, and senior leadership — so translating complex findings into clear, actionable narratives is just as important as finding them.

In this role, you will:

• Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction.
• Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive.
• Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales.
• Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry.
• Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives.
• Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency.
• Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, identify connected accounts and orders, and surface emerging patterns.
• Develop and maintain executive dashboards covering fraud review rates,...