About The Position

This role sits within Expedia’s Traveler & Partner Service Platform (TPSP) Product & Technology organization, which builds the core capabilities and experiences that power customer service across the Expedia ecosystem. TPSP enables both travelers and partners to receive high-quality, efficient service through a combination of human support and AI-powered experiences. We are looking for a highly influential product leader to own the strategy and roadmap for LLM-powered AI Agent servicing for Expedia partners, including Hotel Partners and Vacation Rental (VR) Hosts. This role will define and lead the transformation towards scalable, voice-based self-service experiences powered by AI agents—reducing partner effort while improving resolution speed, consistency, partner satisfaction, and operational efficiency. As a Principal Product Manager, you will architect the long-term vision for partner AI servicing, drive complex cross-functional execution, and represent this program with senior leadership. You will operate as an indispensable individual contributor, shaping how agentic AI is designed, governed, measured, and scaled across TPSP.

Requirements

  • Bachelor’s, Master’s, or equivalent related professional experience - 12+ years for Bachelor’s, 10+ years for Master’s
  • 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 Haves

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

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Define how AI agents should interact with partners in voice-based scenarios, including escalation paths, guardrails, confidence thresholds, and human handoff.
  • Ensure solutions align with Expedia’s responsible AI standards and long-term technical health.
  • Provide thought leadership across TPSP and the broader organization on agentic AI, partner experience trends, and self-service strategy.
  • Coach senior product managers on roadmap thinking, customer journey design, and data-driven decision-making.

Benefits

  • medical/dental/vision
  • paid time off
  • Employee Assistance Program
  • wellness & travel reimbursement
  • travel discounts
  • International Airlines Travel Agent (IATAN) membership
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