Principal Product Manager

Expedia Expedia · Hospitality · Gurgaon, India

Principal Product Manager to define and drive the long-term vision, strategy, and delivery of post-booking and trip management experiences, with AI-enhancement at the core. This role requires partnering with AI/ML teams to deliver context-aware experiences and intelligent automation, and shipping AI/ML-powered customer experiences at scale.

What you'd actually do

  1. Define and drive the long-term product strategy, vision, and roadmap for the Trips experience, aligning outcomes to Expedia Group’s customer, brand, partner, and business objectives and turns our Trip Management experiences into a competitive differentiator.
  2. Drive measurable improvements in traveler engagement, fewer contacts to service channels and repeat booking behaviour.
  3. Partner with design, research, and AI/ML teams to deliver context-aware experiences and intelligent automation.
  4. Influencing senior leadership and aligning cross-functional priorities.
  5. Mentor product managers and elevate practices in discovery, experimentation, and outcome-driven road mapping.

Skills

Required

  • 10+ years of product management experience, including several years at Staff/Principal (or equivalent) level.
  • Proven track record leading complex, cross-functional initiatives and owning portfolios end-to-end.
  • Exceptional problem-solving and systems thinking skills; ability to structure ambiguity and deliver durable solutions.
  • Excellent communication and influence skills, including experience engaging VP+ stakeholders.
  • Customer-centric and data-driven, with proficiency in analytics tools and experimentation frameworks
  • Familiarity with web application architecture, APIs, data flows, and experimentation platforms.
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products in a way that is measurable, safe, and aligned with regulatory and organizational standards.
  • Experience in travel, marketplaces, consumer platforms, or other highly complex, high-scale environments.

Nice to have

  • Experience in content-focused AI/ML technologies (NLP, Topic Modelling & Clustering, LLMs, RAG (Retrieval-Augmented Generation)) and ranking problems & recommendation systems.
  • You have shipped AI/ML-powered customer experiences at scale, including defining evaluation metrics and guardrails.
  • Demonstrated success in building and evolving platform capabilities, services, or shared components that power multiple product experiences or journeys.
  • Strong background in using advanced analytics, experimentation, and customer research to inform decision-making, including partnering with data science/ML teams on ranking, relevance, or recommendation capabilities.
  • Safely integrates and operates AI/ML‑enabled solutions that improve outcomes, with experience applying generative AI or predictive models to enhance content, personalization, or decision support in customer-facing products.

What the JD emphasized

  • AI-enhancement at the core
  • AI-first world
  • AI/ML teams
  • AI-driven systems
  • AI/ML concepts
  • AI/ML-powered customer experiences
  • generative AI

Other signals

  • AI-enhancement at the core
  • AI-first world
  • AI/ML teams
  • AI-driven systems
  • AI/ML concepts
  • AI/ML-powered customer experiences
  • generative AI