Principal Product Manager

Principal Product Manager

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.

This Principal Product Manager role is part of the Pricing & Inventory Team team which sits within our Product division. The team enables suppliers to sell and distribute their inventory by supporting pricing, availability, rate plans, promotions, fees, and related inventory capabilities across Expedia Group's business formats. In this role, you will shape long-term product strategy across complex workstreams and drive products and solutions that positively impact business results across multiple teams.

In this role, you will:

• Define and evolve product strategy for pricing and inventory capabilities, translating complex business, marketplace, and customer needs into clear product direction and measurable outcomes.
• Lead products end to end, from opportunity identification and problem framing through roadmap development, delivery, launch, adoption, and ongoing optimization.
• Partner with engineering, data, economics, finance, operations, and other stakeholders to develop scalable solutions that improve pricing effectiveness, inventory availability, marketplace performance, and customer outcomes.
• Establish priorities, clarify requirements, and guide cross-functional teams through complex product decisions, balancing customer value, business impact, operational considerations, and technical feasibility.
• Use experimentation, analytics, forecasting, and other data-driven methods to evaluate product performance, test hypotheses, and refine pricing and inventory strategies.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Minimum Qualifications:

• Bachelor's degree in Business, Economics, Computer Science, Engineering, Mathematics, Statistics, or a related field; or equivalent related professional experience.
• Several years of relevant product management experience delivering complex products, platforms, or analytical solutions, with demonstrated ownership across the product lifecycle.
• Experience leading products that require collaboration across multiple technical and business domains, including translating ambiguous problems into actionable product strategies, roadmaps, and measurable outcomes.
• Strong ability to use customer insights, business context, quantitative analysis, experimentation, and market or operational data to make product decisions and communicate recommendations clearly to technical and non-technical stakeholders.

Preferred Qualifications :

• Demonstrated experience taking products from concept to scaled adoption.
• Experience leading pricing, inventory, marketplace, optimization, forecasting, or similarly complex data-driven products in high-volume or rapidly changing environments.
• Track record of influencing product strategy and technical direction across multiple teams or domains, including making sound prioritization and tradeoff decisions.
• Experience improving product and operational excellence through experimentation, instrumentation, automation, process improvement, and disciplined measurement of outcomes.
• Hands-on experience using AI-driven tools, platforms, or workflows in product discovery, decision support, forecasting, experimentation, or optimization, and safely integrating AI/ML-enabled capabilities into production products.