Product Management III - Mba - 2026 - Seattle

Expedia Expedia · Hospitality · Seattle, WA

Product Manager III role at Expedia focused on shaping innovative travel products by integrating AI/ML technologies, conducting market analysis, and leading product direction with data-driven insights. Requires MBA and experience with AI-driven systems and applying AI/ML concepts to real-world products.

What you'd actually do

  1. Lead the development of a strategic product vision that addresses both short-term and long-term business and customer opportunities. Drive the creation of a strategic roadmap, being able to clearly articulate your vision through storytelling.
  2. Collaborate and influence Expedia Group's key stakeholders to anticipate and plan for product strategy dependencies. Make informed business impact projections that balance immediate and future business goals. Innovate within the product portfolio to influence business strategy and market trends.
  3. Conduct comprehensive market research and clearly articulate the product's value proposition. Develop hypotheses linking product performance to industry trends.
  4. Establish and review product success metrics regularly. Design and analyze product experiments, deriving insights for informed decision-making. Create and maintain product metric dashboards for cross-functional use.
  5. Prioritize features and initiatives based on business strategy and market dynamics, owning product requirements and guiding the product development lifecycle.
  6. Demonstrate familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, and safely integrate and operate AI/ML‑enabled solutions that improve outcomes within your product area.

Skills

Required

  • MBA program with a 2026 graduation date
  • 3-6 years of product experience or equivalent applicable experience
  • Familiarity with AI-driven systems, tools, or workflows
  • applying AI/ML concepts to real world products
  • safely integrating and operating AI/ML‑enabled solutions that improve outcomes at the feature or product level
  • Analytical skills with the ability to drive data-informed decisions
  • Ability to communicate your product vision clearly to drive alignment across partners

Nice to have

  • Demonstrated experience taking products from concept to scaled adoption, including defining MVP, validating with users, and iterating to achieve strong product-market fit.
  • Experience operating digital products at scale, using experimentation, A/B testing, and data analysis to optimize customer experience and business performance.
  • Proven ability to lead cross-functional teams through ambiguity, influence without direct authority, and drive alignment on product vision, priorities, and trade-offs.
  • Experience working with platforms, services, or APIs, and partnering with engineering to design robust, scalable solutions that meet security, privacy, and reliability expectations.
  • Deeper experience with AI/ML in product contexts, such as personalization, recommendations, or decision-support tooling, including defining use cases, partnering with data science or ML teams, and ensuring responsible and safe use of AI/ML‑enabled solutions.

What the JD emphasized

  • applying AI/ML concepts to real world products
  • safely integrate and operate AI/ML‑enabled solutions