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Principal Product Manager, Cars

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia, Inc.
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Principal Product Manager, Cars 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.

Join Expedia Group as a Principal Product Manager for Brand Expedia, one of the most trusted names in global travel. In this pivotal role, you will lead the end‑to‑end product lifecycle for a key area within Brand Expedia's portfolio – Cars. You'll be instrumental in shaping the future of travel experiences for millions of customers worldwide.

In this role, you will:
  • Lead the end‑to‑end product strategy and roadmap for the core Cars platform and experience capabilities, focusing on complex supplier systems that drive growth for partners and travelers.
  • Partner closely with User Experience, Engineering, Data Science, and Architecture to design robust systems, including API contracts, data models, and technical workflows that scale for high‑traffic, multi‑tenant use cases.
  • Define and optimize search and matching experiences for Cars by leveraging machine‑learning‑driven capabilities, ensuring product requirements and system behavior align with ML model capabilities and constraints.
  • Collaborate deeply with B2B stakeholders across organizations (including partner‑facing teams and supplier teams) to understand their business models and translate them into clear, prioritized product requirements and platform capabilities.
  • Drive cross‑team alignment and execution across multiple domains within the Cars ecosystem, simplifying and modernizing complex, patched legacy flows into cohesive, reliable, and observable systems.
  • 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
  • 10+ years of experience in product management building and scaling complex technical platforms or APIs, including ownership of multi‑service or domain‑level systems in a large‑scale environment.
  • Proven track record working closely with engineering and data science teams on system design, API design, data modeling, and technical trade‑offs for high‑volume, transactional products.
  • Demonstrated experience with machine‑learning‑powered products or search/relevance systems, with the ability to translate ML capabilities into product requirements and measurable business outcomes.
  • Strong experience collaborating with platform stakeholders, defining roadmaps that balance customer experience, platform scalability, partner needs, and long‑term ecosystem health.
Preferred Qualifications
  • Experience leading product strategy for large‑scale products that support multi‑tenant use cases across multiple lines of business.
  • Background working with ML teams to define data contracts, feedback loops, and evaluation metrics for continuous model and product improvement.
  • Demonstrated success modernizing complex, layered, or legacy architectures into scalable, resilient, and observable systems, including defining migration strategies and interim states across multiple services or domains.
  • Track record of data‑driven decision‑making using experimentation, statistical analysis, or advanced analytics to guide roadmap prioritization, measure impact, and optimize system performance at scale.
  • Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, with specific experience guiding safe, responsible, and outcome‑focused use of AI/ML capabilities in complex technical ecosystems.

The total cash range for this position in Seattle is $ to $. Employees in this role have the potential to increase their pay up to $,…

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