Senior Product Manager - Fraud & Risk

Senior Product Manager, Fraud & Risk Platform 

Introduction to the Team: 

The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company. 

As a Senior Product Manager on the Fraud team, you will own the strategy and delivery of the products that protect Expedia Group and its travelers from fraud, abuse, and financial crime. This is a role defined by hard tradeoffs.  Every dollar losspreventedrisks adding friction for a legitimate customer, and your job is to find the sharpest possible edge between the two.You'llset the vision for your sub-domain, build a roadmap the business can defend, and lead the AI/ML detection capabilities that let it scale against adversaries who adapt faster than most products ever face.You'lldo it byinvesting in championing your product andthe market, evolving into an SMEearning the trust of engineering,Opsand data science, influencing business leaders and partners whodon'treport to you, and coaching the PMs coming up behind you.

In This Role You Will:

• Define and drive the product vision and strategy for holistic fraud prevention and risk management capabilities across Expedia Group’s ecosystem, clearly articulatingloss‑versus‑frictiontrade‑offsto senior stakeholders in growth, finance, operations, and legal.

• Build and own an integrated, data‑driven roadmap forassignedfraud and risk products where each milestone is tied to measurable impact on fraud loss rate, insult rate,trust damage,chargebacks, approval/failure rates, and review‑queue cost, and defend prioritization in the face of competing business objectivesinformed byglobalmarket dynamics.

• Lead collaboration with engineering, data science,and analytics tobuild or buyreal‑time,low‑latencyfrauddetectionandrisk‑scoringsystems, including AI/ML‑drivenanomaly detection, graph andentity‑linking, behavioral analytics, and pattern recognition while managing rule complexity and technical debt.

• Operate effectively in ambiguous, adversarial environments by independently modeling dollars at stake, applying investigative techniques such asattack‑vectordiscovery, adversarialred‑teaming, andfraud‑ringanalysis, and translating insights into scalable,production‑readyproduct capabilities.

• Partner across payments,supply,identity, trust & safety, risk operations, UX, compliance, and legal to design secure,traveler‑centric userflows, and to ensure that fraud‑risk considerations are embedded across end‑to‑enduserjourneys and decisioning workflows.

• Define,monitor, and communicate key fraud and risk KPIs, run rigorous experimentation (including champion/challenger tests and holdouts), and translate detection performance and AI/ML model insights into clear narratives and recommendations that drive organizational alignment and product decisions.

Minimum Qualifications:

• Bachelor’s degree in a relevant field, or equivalent related professional experience.

• 8+ years of relevant professional experience with aBachelor’sdegree, or 6+ years with aMaster’sdegree, in product management roles focused on fraud, risk, trust & safety, seller fraud, or payments, or in closely related domains.

• Provenend‑to‑endownership of fraud and risk products or platforms, including accountability for metrics such as fraud loss, false positives/insults, chargebacks, customer friction, and operationalreview‑queuecost for a significant product area or set of related capabilities.

• Demonstrated experience collaborating with engineering and data science teams to design, launch, and iterate on fraud detection andrisk‑scoringsolutions, includingreal‑timedecisioning services, with strong fluency indata‑drivendecision making, data science principles, statistical reasoning, and agile delivery practices.

• Familiarity withAI‑drivensystems, tools, or workflows and applying AI/ML concepts to real world products.

Preferred Qualifications:

• Deep domainexpertiseacross fraud, payments,supplier fraud,chargebacks, dispute management, and AML/KYC fundamentals, witha track recordof shaping product‑level or domain‑level fraud and risk directioninformed by deep competitiveinsightsandindependently modelingfinancial impactto inform strategy and prioritization.

• Significant experience partnering with engineering and data science to design and enhance AI/ML‑enabledfraud detection andrisk‑scoringcapabilities (including anomaly detection,graph‑basedmethods, and behavioral analytics), andsafely integrates and operates AI/ML‑enabledsolutions that improve outcomes inlarge‑scaleproduction environments.

• Demonstrated ability to analyze andreverse‑engineerfraud patterns and adversarial behaviors, employing investigative approaches such asattack‑vectordiscovery,fraud‑ringanalysis, and adversarialred‑teaming, and translating these insights into robust product features, decision flows, and controls.

• Proven effectiveness influencing and aligning senior leaders across growth, finance, operations, legal, and compliance, resolvingcross‑teamfraud and risk escalations, and enabling other product managers to incorporatefraud‑riskconsiderations into their roadmaps, customer journeys, and communication strategies.

• Demonstrated experience taking products from concept to scaled adoption,informed by deep market researchincluding defining success metrics, running experiments such as champion/challenger tests and holdouts, monitoring ongoing performance (loss, friction, and cost), and continuously optimizing along theloss‑versus‑frictioncurve using AI/ML and advanced analytics.