Product Manager Iii, Travel Protection (assurance)

Expedia Expedia · Hospitality · London, United Kingdom

Product Manager III, Travel Protection (Assurance) at Expedia Group. This role is pivotal in shaping innovative travel protection/assurance products. The PM will own a portfolio of offerings, partnering with design, engineering, data science, finance, legal, and external partners. They will leverage advanced data and AI/ML capabilities, market analysis, and customer empathy to define product strategy, prioritize roadmaps, and drive business impact. Key responsibilities include defining product strategy and roadmaps, understanding customer/market insights, and facilitating AI/ML integration into product functionality. Experience with AI/ML concepts, data science principles, and experimentation is required.

What you'd actually do

  1. Organizes a clear strategic vision for travel protection / assurance products that solves both short-term and long–term traveler, partner, and business needs.
  2. Takes a lead role in detailing a multi-quarter roadmap, articulating key themes, milestones, and trade-offs through a compelling narrative that resonates across senior leadership and cross-functional teams.
  3. References detailed market research and competitive analysis (customer segmentation, market sizing, insurance / assurance landscape, partner needs) to inform strategy and roadmap.
  4. Facilitates integration of AI/ML into product functionality (for example, risk-based recommendations, personalization, pricing support, or servicing flows) by leveraging an understanding of model development (data collection and processing, model training, evaluation, deployment, and monitoring).
  5. Leverages understanding of technical architecture (checkout, payments, partner and supplier systems, servicing, compliance) to ensure protection products meet requirements and scale reliably; adapts designs as dependencies evolve.

Skills

Required

  • Agile product development practices
  • AI / ML concepts and their application in products
  • Data science principles and experimentation (A/B testing, hypothesis-driven development)
  • Strong written and verbal communication
  • Active listening and stakeholder management
  • Scientific method and problem decomposition
  • Ability to reverse engineer complex systems and flows
  • Business acumen and commercial mindset (P&L, pricing, and unit economics awareness)
  • Influencing without authority
  • Appropriate, calculated risk-taking
  • 5+ years of relevant experience with a Bachelor’s degree
  • 3+ years of relevant experience with a Master’s degree

What the JD emphasized

  • AI/ML concepts and their application in products
  • Facilitates integration of AI/ML into product functionality
  • understanding of model development (data collection and processing, model training, evaluation, deployment, and monitoring)

Other signals

  • leverages advanced data and AI/ML capabilities
  • Facilitates integration of AI/ML into product functionality
  • understanding of model development (data collection and processing, model training, evaluation, deployment, and monitoring)