Senior Product Manager - Fraud & Risk

About the role

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 role involves making hard tradeoffs—every dollar loss prevented risks adding friction for a legitimate customer. You'll set the vision for your sub-domain, build a defensible roadmap, and lead AI/ML detection capabilities to scale against adaptive adversaries. You’ll champion your product, evolve into a subject-matter expert, influence cross-functional leaders, and mentor junior PMs.

Responsibilities

• Define and drive the product vision and strategy for holistic fraud prevention and risk management capabilities across Expedia Group’s ecosystem, articulating loss-versus-friction trade-offs to senior stakeholders in growth, finance, operations, and legal.
• Build and own an integrated, data-driven roadmap for fraud and risk products, tying each milestone to measurable impact on fraud loss rate, insult rate, trust damage, chargebacks, approval/failure rates, and review-queue cost. Defend prioritization amid competing business objectives informed by global market 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 embed fraud-risk considerations 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.

Requirements

• Bachelor’s degree in a relevant field, or equivalent 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 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.
• 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 competitive insights and independent financial modeling.
• 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 integrate these solutions in large-scale production environments.
• Demonstrated ability to analyze and reverse-engineer fraud patterns and adversarial behaviors using investigative approaches such as attack-vector discovery, fraud-ring analysis, and adversarial red-teaming, and translate these insights into robust product features and decision flows.
• Proven effectiveness influencing and aligning senior leaders across growth, finance, operations, legal, and compliance, resolving cross-team fraud and risk escalations, and enabling other product managers to incorporate fraud-risk considerations into their roadmaps and customer journeys.
• Demonstrated experience taking products from concept to scaled adoption, informed by deep market research, defining success metrics, running experiments (e.g., champion/challenger tests and holdouts), monitoring performance (loss, friction, and cost), and continuously optimizing along the loss-versus-friction curve using AI/ML and advanced analytics.

Pay

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, the top of the range, based on ongoing, demonstrated, and sustained performance. Starting pay varies based on location, available budget, and an individual’s knowledge, skills, and experience.

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts.
• International Airlines Travel Agent Network (IATAN) membership.