Expedia Group·10,000+ employees·Travel & Hospitality
Principal Product Manager - Business to Agent
Trending
“Expedia Group includes three flagship consumer brands, Expedia, Hotels.com, and Vrbo, along with a leading B2B travel business and travel advertising offerings, helping travelers explore the world with confidence and ease.”
Compensation
$224K-$314K /year
Location
Seattle, WA
Workplace
Hybrid
Type
Full-time
Skills covered in University
AEOGEOAgentsLLMs
About the role
Lead the strategy and execution of Expedia Group's Business to Agent team as the Single Threaded Leader, owning channel theses, roadmap, experimentation, and outcomes across the full set of Agentic Search channels. An individual contributor role built for a builder, with a squad of senior engineers and a mandate to make Expedia Group's supply, pricing, and brand surfaced, selected, and transacted by agents.
What you'll do
- Own the end-to-end strategy and outcomes for Business to Agent across agent channels, sequencing investment by economic contribution and maintaining a forward view on emerging agent surfaces.
- Build and continuously refine theses on how agents search, evaluate, and transact, recognizing that agent archetypes differ meaningfully from each other and require bespoke approaches, then translate those theses into prioritized roadmaps and clear stay, invest, or pass calls as the agent ecosystem evolves.
- Drive agent legibility and access: ensure Expedia Group's inventory, pricing, policies, and loyalty signals are machine-readable and correctly interpreted across agent surfaces, and expand presence into agent-specific indices, registries, and retrieval surfaces so Expedia Group is callable and usable wherever agents operate.
- Identify and pull the small set of high-leverage levers per channel that drive agent visibility and access.
- Develop a research and experimentation agenda to understand how agents reason, rank, and recommend, drawing on observability tooling such as chain-of-thought analysis, structured prompting of closed models, and emerging academic literature.
- Translate learnings about agent preferences into agent-facing products, content, interfaces, and offerings, recognizing that agents may weight value, trust, and convenience differently than humans, and operate a portfolio of agent-archetype strategies with a shared feedback loop across experimentation and research.
- Define and operate a high-velocity experimentation system per channel with clear hypotheses, decision criteria, and decision-grade readouts, then turn experimental learnings into durable product enhancements, expanded marketing surfaces, content systems, and offering adjustments, ranked against desirability, feasibility, and viability.
- Shape the path toward end-to-end agent infrastructure as the category matures, including the harder unresolved problems of identity, authorization, and human-agent liability.
- Lead a squad of senior engineers via dotted-line authority, operating as an AI-native, high-leverage, low-coordination-tax team that uses agents and automation to amplify output, and partner cross-functionally with product, technology, marketing, brand, legal, and enterprise alliance teams to ship the changes that compound channel performance.
- Translate complex agent ecosystem dynamics, channel theses, and experimental learnings into clear, concise narratives for C-suite, board, and senior cross-functional audiences, and represent Agentic Search in senior forums across the organization, framing trade-offs and recommendations with the structure and clarity expected at the executive level.
- Embody failure as a design principle: move fast, including pivots when unsuccessful, and double down on signals of traction in a pre-playbook market.
- Serve as a thought leader on agent-driven markets internally and externally, producing research and point-of-view artifacts that shape how the broader organization thinks about the space.
What we're looking for
- 10+ years in product management, growth, or technical product leadership, with increasing scope and ownership.
- Demonstrated zero-to-one track record: has built and scaled a net-new channel, capability, or product from inception to measurable commercial outcomes.
- Highly technical: able to read and reason about web infrastructure, retrieval systems, agent tooling, structured data, and APIs well enough to build independently.
- Proven track record of building strategy, theses, and execution for channels or platforms at meaningful scale, with strong experimentation discipline.
- Strong executive communication: clean presentations, executive presence, and the ability to drive alignment across senior cross-functional stakeholders without direct authority.
- Comfort with ambiguity, fast cycles, and high-velocity decision making in a pre-playbook market.
- Bonus: founder or founder-adjacent experience is strongly preferred, since candidates who have started, scaled, or made early-stage investments in AI or platform businesses bring directly transferable pattern recognition; active immersion in the AI ecosystem, with relationships with frontier labs, agent platforms, or AI-native startups treated as a meaningful signal of genuine engagement.
Posted
1 hour ago · Aug 13, 2026