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Principal Product Manager - Agentic Search

Job in Kent, King County, Washington, 98089, USA
Listing for: Traveltechessentialist
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and we know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the Team

We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology.

Expedia Group is seeking a highly technical, builder‑mindset Principal Product Manager to lead the strategy and execution of our Agentic Search team. AI agents are emerging as a new customer interface, increasingly owning the travel funnel from intent to transaction. We ensure EG’s supply, pricing, and brand are surfaced, selected, and transacted by agents – the next platform shift after web and mobile.

This is an individual contributor role designed for a builder. As the Single Threaded Leader for Agentic Search, the PM will own the channel‑level theses, roadmap, experimentation, and outcomes across the full set of Agentic Search channels and emerging agent surfaces. The role carries direct ownership of strategy and execution, with a squad of senior engineers, and is empowered to act with minimal coordination tax.

This role reports to the Head of Organic & Agent Search.

In this role, you will:
Strategy & Thesis Building
  • Own the end‑to‑end strategy and outcomes (P&L) for Agentic Search 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.
  • Translate theses into prioritized roadmaps and clear stay/invest/pass calls as the agent ecosystem evolves.
Agent Legibility & Access
  • Ensure EG’s inventory, pricing, policies, and loyalty signals are machine‑readable and correctly interpreted across agent surfaces.
  • Drive expansion of EG’s presence into agent‑specific indices, registries, and retrieval surfaces, and ensure EG 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.
Agent Reasoning & Preference
  • Develop a research and experimentation agenda to understand how agents reason, rank, and recommend, drawing on observability tooling (e.g., 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.
  • Operate a portfolio of agent‑archetype strategies with a shared feedback loop across experimentation and research.
Experimentation & Productionalization
  • Define and operate a high‑velocity experimentation system per channel, with clear hypotheses, decision criteria, and decision‑grade readouts.
  • Translate experimental learnings into durable changes – product enhancements, expanded marketing surfaces, content systems, and offering adjustments – and rank what to productionalize 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,…
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