Senior Program Manager, Fraud , Flex FACT
At Amazon, we're working to be the most Customer-centric company on earth. One customer experience that we're constantly looking to take to a new level is how we fulfill and deliver their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders, no matter how large or small, are delivered where and when they need them, as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new products and services in the last mile delivery space. We are doing this by building a world class last mile operation, significantly complimented by Amazon Flex. Amazon Flex works directly with independent contractors – called delivery partners – to make deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages. This role affords an opportunity to work on innovation, while directly contributing to driving an improved experience for Amazon customers and Delivery Partners.
As a Program Manager for Fraud Prevention, you will drive the execution and continuous improvement of fraud prevention programs across the Amazon Flex ecosystem. You will partner cross-functionally with technology, science, operations, legal, and finance teams to implement mechanisms that detect, prevent, and mitigate fraudulent activity. This role requires a data-driven operator who can translate ambiguous problem spaces into clearly scoped programs, define measurable success criteria, and deliver results through influence rather than authority. You will balance fraud risk reduction with delivery partner experience and operational efficiency, ensuring that enforcement actions are fair, scalable, and defensible.
Key job responsibilities
Own end-to-end program management for fraud prevention initiatives — from problem identification and scoping through mechanism design, launch, and post-launch iteration
Develop and maintain operational metrics, dashboards, and reporting cadences to track fraud trends, program effectiveness, and key performance indicators
Write clear and compelling documents (narratives, program briefs, business reviews) to communicate program status, risks, and recommendations to leadership
Partner with science and technology teams to define requirements for detection models, enforcement tooling, and automation capabilities
Conduct root cause analysis on emerging fraud patterns and translate findings into actionable program recommendations
Design and manage escalation workflows, investigation processes, and enforcement mechanisms in collaboration with operations and legal teams
Coordinate cross-functional working groups to drive alignment on program priorities, timelines, and trade-offs
As a Program Manager for Fraud Prevention, you will drive the execution and continuous improvement of fraud prevention programs across the Amazon Flex ecosystem. You will partner cross-functionally with technology, science, operations, legal, and finance teams to implement mechanisms that detect, prevent, and mitigate fraudulent activity. This role requires a data-driven operator who can translate ambiguous problem spaces into clearly scoped programs, define measurable success criteria, and deliver results through influence rather than authority. You will balance fraud risk reduction with delivery partner experience and operational efficiency, ensuring that enforcement actions are fair, scalable, and defensible.
Key job responsibilities
Own end-to-end program management for fraud prevention initiatives — from problem identification and scoping through mechanism design, launch, and post-launch iteration
Develop and maintain operational metrics, dashboards, and reporting cadences to track fraud trends, program effectiveness, and key performance indicators
Write clear and compelling documents (narratives, program briefs, business reviews) to communicate program status, risks, and recommendations to leadership
Partner with science and technology teams to define requirements for detection models, enforcement tooling, and automation capabilities
Conduct root cause analysis on emerging fraud patterns and translate findings into actionable program recommendations
Design and manage escalation workflows, investigation processes, and enforcement mechanisms in collaboration with operations and legal teams
Coordinate cross-functional working groups to drive alignment on program priorities, timelines, and trade-offs