Product Manager III, Intent Understanding & Refinement

Expedia•Seattle, WA

21h•Onsite

About The Position

Expedia Group is seeking a Product Manager III to lead intent understanding and refinement across its Search and Recommendations experiences. This role focuses on understanding how travelers express their needs indirectly through various signals like destination implications, word choices, and evolving session behavior. The Product Manager will define the product strategy, operating model, and roadmap for capabilities that connect traveler intent to relevant results, recommendations, and next-best experiences. This involves working across Product, Engineering, Data Science, Design, Research, and business stakeholders to establish intent understanding as a consistent and measurable capability throughout the shopping journey.

Requirements

Bachelor's degree in a related field; or equivalent related professional experience
5 or more years of product management experience, including ownership of a platform or capability that other teams built on top of
Demonstrated experience taking products from concept to scaled adoption
Data fluency, including proficiency with experimentation tooling and the data analysis used to design and evaluate tests
Experience with machine learning backed products such as ranking or recommendation systems

Nice To Haves

Familiarity with AI-driven systems, tools or workflows, and with applying machine learning concepts to real world products
Experience with configurable or low-code platforms where internal teams are your customer alongside the traveler
Experience trading organic relevance against paid or promoted placement, or a comparable commercial tension

Responsibilities

Establish a clear framework for representing traveler intent, including explicit queries, inferred preferences, trip context, constraints, and changes in intent throughout a session.
Identify opportunities to improve how intent is captured, interpreted, disambiguated, refined, and passed to downstream experiences.
Translate ambiguous traveler problems into crisp product requirements, measurable outcomes, and sequenced roadmaps.
Partner with Data Science and Machine Learning teams on model objectives, feature priorities, evaluation frameworks, feedback loops, and responsible use of personalization signals.
Work with Engineering and platform teams to define scalable interfaces, data contracts, instrumentation, and self-service capabilities that can support multiple brands, markets, and traveler journeys.
Own and identify opportunities to improve filters categories/labels/models.
Balance traveler value, business impact, technical feasibility, operational complexity, and trust when making prioritization decisions.
Develop a shared taxonomy and language for intent signals and filters so that teams can align on definitions, ownership, quality, and measurement.
Establish success metrics and guardrails, such as relevance, engagement, progression, conversion, satisfaction, latency, coverage, and fairness.
Use qualitative and quantitative research, experimentation, behavioral data, and operational feedback to identify gaps and validate solutions.
Create alignment across a complex stakeholder environment and communicate product direction clearly to senior leaders and delivery teams.
Help shape the longer-term evolution of Search and Recommendations into more adaptive, context-aware, and traveler-centered experiences.