Lead Product Designer – Personalization & AI Experiences

Expedia•San Jose, CA

1d•$173,000 - $261,500

About The Position

Expedia Group is hiring a Lead Product Designer for its AI Platforms, Personalization, Memory, and Signal Capture team. The role focuses on designing personalized travel experiences that become more relevant and useful as Expedia Group learns about travelers. The designer will address challenges such as fragmented or missing traveler signals and limited context for first-time visitors, translating complex AI, machine-learning, data, and personalization capabilities into intuitive experiences travelers can understand and trust. The designer will own meaningful parts of the personalization experience from exploration through product delivery, working across product surfaces and the underlying technology. They will collaborate with Product, Engineering, Data Science, Machine Learning, Analytics, Pricing, and Design partners to explore memory, signal capture, personalization models, and cold-start experiences. The role calls for strong interaction and visual design craft, systems thinking, prototyping, experimentation, storytelling, and influence across teams. Successful work will create clearer personalized experiences, connect interactions to the broader personalization ecosystem, and help promising concepts progress toward Expedia Group products. The role is listed in Austin, Seattle, San Jose, San Francisco, Los Angeles, New York, and Chicago. Total cash ranges listed are $173,000–$242,500 for Austin and Seattle and $187,000–$261,500 for San Jose, with potential increases to $277,000 or $299,000 respectively based on sustained performance. Pay varies by location and other factors. Expedia Group offers employee benefits and travel-related perks.

Requirements

At least 8 years of product design, UX design, interaction design, or equivalent experience creating digital products and experiences.
Bachelor’s or master’s degree in User Experience Design, Human-Computer Interaction, or a related field, or equivalent professional experience.
Portfolio demonstrating strong product-design craft across complex digital experiences, including work that progressed toward or into market.
Ability to translate ambiguous or technically complex opportunities into clear, intuitive product experiences.
Strong systems thinking and ability to connect individual interactions across broader journeys, platforms, or ecosystems.
Experience collaborating with cross-functional partners such as Product, Engineering, Data Science, Machine Learning, or Analytics.
Experience with, or demonstrated ability to quickly learn, AI, personalization, machine learning, or data-informed product experiences.
Strong prototyping skills and ability to use prototypes to explore interactions, communicate ideas, and evaluate product directions.
Strong communication and storytelling skills, including ability to articulate design rationale and influence cross-functional partners and senior stakeholders.
Ability to work effectively in ambiguous, evolving product spaces while maintaining a high bar for craft and execution.

Nice To Haves

Experience designing personalization, recommendations, identity, memory, preferences, or signal-capture experiences.
Experience designing products or experiences informed by AI or machine-learning systems.
Experience partnering closely with data scientists or working with model-driven product experiences.
Experience using AI-assisted design or prototyping tools.
Experience creating functional coded prototypes with tools such as React, Cursor, or similar technologies.
Front-end, full-stack, creative-technology, or design-technologist experience.

Responsibilities

Define and design experiences that capture traveler intent, preferences, and behavior and translate those signals into personalized experiences.
Explore ways to deliver value from a traveler’s first interactions and progressively improve personalization when context is limited.
Design ways for travelers to express what matters to them, explicitly or implicitly, while keeping personalization understandable and explainable.
Connect product-surface interactions with the broader personalization ecosystem, including signals, memory, models, and traveler interactions.
Partner with technical teams to translate AI, machine learning, data, and personalization opportunities into intuitive experiences.
Use high-fidelity prototyping and experimentation to make ideas tangible, evaluate possibilities, and accelerate learning.
Help promising concepts mature into experiences that can inform and become part of Expedia Group products.
Apply strong interaction and visual design judgment to create cohesive, polished experiences.
Communicate design rationale, evidence, tradeoffs, and opportunities to help partners and leaders make informed decisions.
Share patterns, learnings, and approaches that help other teams apply personalization thinking across the traveler journey.