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Senior Product Manager - Fraud & Risk

Expedia

Washington - Seattle Campus, US$173k – $243konsite

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About this role

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

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 loss   prevented   risks adding friction for a legitimate customer, and your job is to find the sharpest possible edge between the two.   You'll   set 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'll   do it by   investing in championing your product and   the market , evolving in to an SME   earning the trust of engineering,   Ops   and data science, influencing business leaders and partners who   don't   report 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 articulating   loss ‑ versus ‑ friction   trade ‑ offs   to senior stakeholders in growth, finance, operations, and legal.  

• Build and own an integrated, data ‑ driven roadmap for   assigned   fraud 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 objectives   informed by   global   mark et dynamics .  

• Lead collaboration with engineering, data science,   and analytics to   build or buy   real ‑ time,   low ‑ latency   fraud   detection   and   risk ‑ scoring   systems, including AI/ ML ‑ driven   anomaly detection, graph and   entity ‑ 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 as   attack ‑ vector   discovery, adversarial   red ‑ teaming , and   fraud ‑ ring   analysis, and translating insights into scalable,   production ‑ ready   product capabilities.  

• Partner across payments,   supply,   identity, trust & safety, risk operations, UX, compliance, and legal to design secure,   traveler ‑ centric    user   flows, and to ensure that fraud ‑ risk considerations are embedded across end ‑ to ‑ end   user   journeys 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 a   Bachelor’s   degree, or 6+ years with a   Master’s   degree, in product management roles focused on fraud, risk, trust & safety, seller fraud, or payments, or in closely related domains.  

• Proven   end ‑ to ‑ end   ownership of fraud and risk products or platforms, including accountability for metrics such as fraud loss, false positives/insults, chargebacks, customer friction, and operational   review ‑ queue   cost 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 and   risk ‑ scoring   solutions, including   real ‑ time   decisioning services, with strong fluency in   data ‑ driven   decision making, data science principles, statistical reasoning, and agile delivery practices.  

• Familiarity with   AI ‑ driven   systems, tools, or workflows and applying AI/ML concepts to real world products.  

Preferred Qualifications:  

• Deep domain   expertise   across fraud, payments,   supplier fraud,   chargebacks, dispute management, and AML/KYC fundamentals, with   a track record   of shaping product ‑ level or domain ‑ level fraud and risk direction   informed by deep competitive   insights and   independently modeling   financial impact   to inform strategy and prioritization.  

• Significant experience partnering with engineering and data science to design and enhance AI/ ML ‑ enabled   fraud detection and   risk ‑ scoring   capabilities (including anomaly detection,   graph ‑ based   methods, and behavioral analytics ), and   safely integrates and operates AI/ ML ‑ enabled   solutions that improve outcomes in   large ‑ scale   production environments.  

• Demonstrated ability to analyze and   reverse ‑ engineer   fraud patterns and adver

Salary insight

The midpoint of this range ($208k) is about 28% above the median disclosed salary for Seattle roles listed on ForgeApply ($163k across 1,511 jobs).

See full Product Manager salary data for Seattle

Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.

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