Principal Product Manager, Fraud & Risk Platform

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.

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.

We’re looking for a highly influential individual contributor to architect the long‑term strategy for our fraud prevention and risk management products across the diverse, global travel ecosystem. This role will spearhead complex, cross‑functional initiatives that integrate advanced AI/ML detection capabilities, balance fraud loss reduction against customer friction, and protect the business while enabling growth. This leadership role demands strategic acumen, deep technical fluency, and a collaborative spirit to safeguard travel experiences globally.

• Define and evolve the long‑term product strategy and vision for fraud prevention and risk management capabilities across a complex, global travel ecosystem, ensuring alignment with organizational objectives.
• Drive an integrated roadmap for a suite of fraud and risk products that balances fraud loss reduction, customer friction, conversion, and operational cost, securing buy‑in from cross‑functional partners.
• Partner closely with engineering and data science leaders to advance the technical foundation of fraud detection and risk‑scoring systems, including AI/ML‑driven anomaly detection, behavioral analytics, and pattern recognition.
• Own key fraud and risk performance metrics such as fraud loss rate, false‑positive rate, chargeback ratio, and approval/friction rates, making data‑driven decisions on build‑vs‑buy, vendor tooling, and lifecycle evolution of capabilities.
• Identify emerging fraud and risk threats, connect the right stakeholders, and lead complex, cross‑functional initiatives and escalations across security, compliance, legal, engineering, and customer experience to rapidly mitigate risk.
• Apply deep data analytics and machine learning insights to continuously optimize fraud and risk models, safely integrate and operate AI/ML‑enabled solutions that improve outcomes, and foster a culture of coaching, knowledge‑sharing, and inclusive collaboration across product teams.

• 12+ years of relevant experience with a Bachelor’s degree, or 10+ years with a Master’s degree, in product leadership roles focused on fraud, payments, risk, or closely related domains or equivalent practical experience.
• Proven ownership of end‑to‑end performance for fraud and risk products or platforms, including accountability for metrics such as fraud loss, false positives, chargebacks, and customer friction across multiple work streams or a suite of products.
• Demonstrated expertise in AI/ML application to fraud detection, including anomaly detection, behavioral analytics, and pattern recognition, with familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products.
• Strong fluency in data science principles, statistical reasoning, and agile practices, with the ability to translate complex technical and threat landscape considerations into clear product requirements for diverse, global stakeholders.

• Deep domain knowledge spanning fraud,…