Principal Product Manager – Partner Servicing (agentic Ai)

Expedia Expedia · Hospitality · Seattle, WA

Expedia is seeking a Principal Product Manager to define the strategy and roadmap for LLM-powered AI Agent servicing for partners (Hotel Partners and VR Hosts). This role will focus on transforming partner servicing towards scalable, voice-based self-service experiences, reducing partner effort and improving efficiency. The PM will architect the long-term vision, drive cross-functional execution, and influence system design and responsible AI practices.

What you'd actually do

  1. Define the long-term vision for LLM-powered AI agents that handle partner servicing over voice channels for Hotel Partners and VR Hosts. Leverage deep understanding of partner needs, contact drivers, and operational constraints to shape a strategy that materially shifts servicing toward self-service while maintaining trust and quality.
  2. Create and own a dynamic, multi-phase roadmap for AI Agent servicing that spans product, engineering, data science, operations, and platform dependencies. Secure cross-functional buy-in, identify risks early, and ensure alignment across multiple teams working toward shared outcomes.
  3. Establish the success metrics for AI Agent–led partner servicing, including self-service rate, containment, resolution quality, partner satisfaction, and cost-to-serve. Partner with analytics and engineering teams to develop dashboards and performance monitoring that enable continuous optimization and informed decision-making.
  4. Own execution of the partner AI servicing program end to end, representing progress, risks, and trade-offs with senior leadership. Drive clarity in ambiguous problem spaces and ensure teams remain focused on delivering measurable business and partner outcomes.
  5. Work closely with engineering leaders to influence system design, architecture decisions, and platform capabilities required to support scalable agentic AI. Monitor industry trends in LLMs and AI agent frameworks, and guide responsible AI practices including evaluation, monitoring, tuning, and retraining.

Skills

Required

  • Proven experience leading complex, AI/ML-powered products, ideally involving LLMs, automation, or agentic systems.
  • Demonstrated ability to define and execute long-term product strategy across multiple workstreams with significant business impact.
  • Deep understanding of data analytics, experimentation, and KPI-driven optimization; strong track record of using data to drive product decisions.
  • Experience working closely with engineering leaders on architecture, platform evolution, and managing technical trade-offs and debt.
  • Strong business acumen, including experience owning product outcomes tied to efficiency, cost reduction, or revenue impact.
  • Exceptional communication and influence skills, with experience driving alignment across senior stakeholders and executive audiences.
  • Ability to operate effectively in ambiguous, high-stakes environments requiring judgment, negotiation, and risk-taking.
  • Experience coaching and mentoring product managers and contributing to a culture of continuous improvement.

Nice to have

  • Experience in travel, hospitality, marketplaces, or partner-facing platforms is a strong plus.

What the JD emphasized

  • LLM-powered AI agents
  • agentic AI
  • voice channels
  • self-service
  • scalable agentic AI
  • responsible AI practices
  • evaluation, monitoring, tuning, and retraining
  • guardrails
  • human handoff

Other signals

  • LLM-powered AI agents
  • voice-based self-service experiences
  • reduce partner effort
  • improve resolution speed
  • scalability
  • governed, measured, and scaled