Director of Product, AI Builder Experiences

Expedia Expedia · Hospitality · CA

Expedia Group is seeking a Director of Product, AI Builder Experiences to lead a team of AI Builder PMs and shape the AI strategy. This role involves identifying AI-driven problems, prototyping end-to-end AI experiences using LLMs and tools, evaluating new capabilities, and partnering with engineering and data science to ship features. The goal is to define reusable patterns and primitives, establish success metrics, and communicate AI strategy to senior leaders, ultimately influencing AI-powered experiences across Expedia Group.

What you'd actually do

  1. Build, lead, and coach a team of AI Builder Product Managers, providing clear direction, feedback, and growth opportunities.
  2. Identify high-impact traveler and partner problems that can be unlocked by AI, and frame them as clear, testable product bets.
  3. Rapidly prototype end‑to‑end AI experiences using available LLMs and tools (e.g., prompt design, tool/function calling, retrieval, simple UIs) to validate value and feasibility.
  4. Evaluate new capabilities from frontier labs and internal platforms, and translate them into concrete product concepts, demos, and proof‑of‑concepts.
  5. Partner closely with engineering, data science, and design to take successful prototypes to production, including instrumentation, experimentation, guardrails, and ongoing quality improvements.

Skills

Required

  • 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems.
  • People leadership experience managing and developing product managers, including hiring, performance management, and career growth.
  • Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing system design, data flows, tradeoffs, and constraints.
  • Hands‑on ability to prototype: capable of using APIs/SDKs from major LLM providers and writing simple code (e.g., Python or TypeScript/JavaScript) to stitch together prompts, tools, and basic interfaces.
  • Proven track record of taking 0→1 product ideas from concept through prototype to launched features, with clear impact on customer and business outcomes.
  • Experience with metrics, experimentation, and evaluation (e.g., A/B testing, success metrics definition, instrumentation, or system reliability).
  • Exceptional written and verbal communication skills, with the ability to make complex technical topics accessible and to drive alignment across senior cross‑functional stakeholders.

Nice to have

  • Experience building, leading, and scaling product teams in a large or matrixed organization, ideally in AI/ML or platform contexts.
  • Experience building or shipping AI/LLM-powered user experiences (e.g., conversational agents, copilots, recommendations, search, automation, or decision-support tools).
  • Familiarity with LLM behavior and ecosystems: prompt engineering, tools/function calling, retrieval/RAG, embeddings, and basic evaluation techniques.
  • Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM.
  • Understanding of trustworthy AI principles, including safety, bias, privacy, and failure‑mode analysis, and how to apply them in product design.
  • Experience building frameworks, tools, or platforms that scale across multiple teams or products in a large organization.

What the JD emphasized

  • AI Builder Product Managers
  • AI features
  • prototypes to production
  • AI-first thinking

Other signals

  • AI Builder Experiences
  • AI-powered experiences
  • reusable components, orchestration patterns, and quality bars
  • prototype, experimentation, and shipping AI features
  • applied AI