Location
London, City of

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Expedia Group powers travel for everyone, everywhere. As AI becomes core to how travelers plan, book, and manage their trips, it is also changing how we build for them - and merchandising is where that change is furthest along. The Merchandising Platform team owns the commercial layer of the traveler experience across every Expedia Group brand: price display, product badging, price insights, the algorithms that identify and rank collections, and the merchandising pages and services that power them. Currently, brand teams operate this platform manually - designing individual experiments, configuring each change, and waiting weeks between an idea and a result. We are building agentic systems that change that: autonomous agents that generate hypotheses, assemble experiences from configurable components, run experiments continuously within brand-defined guardrails, and roll out winners - with brand teams acting as strategists and governors rather than operators.

In this role, you will be a hands-on AI builder Product Manager at the centre of that shift. You will prototype and ship multi-agent systems that automate the merchandising experiment lifecycle end to end, define the trust and governance patterns that let agents act safely on live traveler experiences, and lead the most promising capabilities from experiment to production at scale. Your work will directly shape how millions of travelers experience Expedia Group brands and set the pattern for how autonomous optimisation expands across the rest of the traveler journey.

Key responsibilities include:
- Owning the product direction for autonomous merchandising optimisation, evolving from agent-assisted experiment setup to fully autonomous agents that generate, launch, evaluate, and roll out tests continuously within brand-defined success metrics, guardrails, and policies.
- Rapidly prototyping agentic flows hands-on, including orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses to prove value and feasibility before engineering investment.
- Taking successful prototypes to production with engineering, data science, and design teams, incorporating human review gates, guardrail breach detection, automated rollback, audit trails, and attribution to ensure every agent action is measurable and reversible.
- Defining the trust architecture for agents acting on live experiences, including preview/approve/undo flows, escalation triggers, explainability, and override tracking, to enable adoption across Expedia Group.
- Driving measurable outcomes by compressing experiment cycle times from months to days, increasing experiment throughput per surface, and demonstrating conversion and revenue lift from agent-optimised merchandising without degrading traveler trust or experience quality.
- Partnering closely with experimentation, content and configuration platforms, GenAI platform, and brand product teams across Expedia, Hotels.com, and Vrbo to ensure end-to-end agent capability integration.
- Evaluating emerging capabilities from frontier labs and internal platforms and translating them into concrete product concepts and working demos.
- Leading the organisational shift alongside the technical one by building brand teams' trust in agent-operated optimisation, defining strategic and guardrail-setting roles for teams, and sharing playbooks to embed agentic operation as standard merchandising practice across Expedia Group.

Experience
10+ years of product management experience building consumer or platform products, including significant work with AI, ML, or technically complex systems. Strong technical depth with experience partnering with engineering and data science/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs, and constraints. Proven track record of taking 0→1 product ideas from concept through prototype to launched features, with clear impact on customer and business outcomes. Deep experience with experimentation and measurement including A/B testing at scale, success metrics and guardrail definition, instrumentation, and using experiment data to drive iteration. Strong communication and collaboration skills with the ability to make complex technical topics accessible and drive alignment across senior cross-functional stakeholders.

About you
Hands-on ability to prototype using APIs/SDKs from major LLM providers and writing simple code (e.g., Python or TypeScript/JavaScript) to stitch together prompts, tools, and agent workflows. Comfortable leading organisational change and building trust in autonomous systems. Passionate about trustworthy AI principles including safety, bias, privacy, and failure-mode analysis. Collaborative mindset with experience working across multiple teams and driving adoption of new frameworks or platforms.

Qualifications
Preferred qualifications include experience building or shipping agentic AI systems such as multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation (pricing display, recommendations, ranking, promotional content, or campaign automation). Experience with autonomous or continuous optimisation systems and governance questions they raise (explainability, accountability, over-optimisation, segment-level effects). Understanding of trustworthy AI principles and regulatory constraints related to pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects) is highly desirable. Experience building frameworks, tools, or platforms adopted by multiple teams in a large organisation and managing the associated change.