Product Manager II

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Junior
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Own the roadmap for Expedia’s personalization platform serving cold-start, new, and anonymous travelers. Translate customer and business needs into platform requirements, prioritize backlogs, and partner with engineering, data science, design, analytics, marketing, and product teams. Lead experimentation and measurement while balancing relevance, privacy, fairness, explainability, latency, scalability, and business outcomes. Improve adoption, personalization quality, platform performance, and decision visibility across partner products.
Summary Generated by Built In

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-help 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.

We are looking for a Product Manager II to help shape and scale the personalisation platform that powers relevant experiences for travellers across the customer journey.
In this role, you will focus on one of personalization’s most important challenges: helping the business make useful, timely decisions when we know little or nothing about a traveller. You will lead platform product for experiences serving cold-start, new, and anonymous travellers—using context, intent, behavioural signals, experimentation, and machine-learning capabilities to create relevance from the first interaction.
You will partner closely with engineering, data science, design, analytics, marketing, and customer-facing product teams to turn platform capabilities into measurable traveller and business outcomes. This is a hands-on product role for someone who can move between customer problems, technical trade-offs, and delivery details.

In this role, you will:

  • Define and communicate the product priorities and roadmap for personalisation capabilities serving cold-start, new, and anonymous travelers
  • Translate traveller and business needs into clear platform requirements, product narratives, success measures, and prioritised backlogs
  • Partner with engineering and data science on contextual personalisation, identity resolution, feature generation, model serving, and decisioning
  • Collaborate with product teams to make shared personalisation capabilities easy to adopt, test, understand, and measure
  • Lead discovery and experimentation, including hypothesis development, test design, rollout planning, and interpretation of results
  • Make thoughtful trade-offs across traveller value, business objectives, privacy, fairness, explainability, operational complexity, latency, and platform scalability

Minimum qualifications:


  • 2+ years of experience shipping ML products or platform capabilities in a product management role
  • Strong product judgment and can frame ambiguous problems, identify high-value opportunities, and make pragmatic decisions
  • You are comfortable working with technical teams on application programming interfaces, data flows, event instrumentation, model inputs and outputs, experimentation systems, or other platform concepts
  • Experience defining measurable outcomes and using quantitative and qualitative evidence to guide product decisions
  • You are customer-centred and curious about how travelers discover, compare, and choose travel products
  • You communicate clearly and can influence partners across engineering, data science, design, analytics, and business teams

Preferred qualifications:
  • Experience with cold-start, new-user, anonymous-user, or session-based personalisation
  • You have built or scaled shared platforms used by multiple product teams
  • Familiarity with recommendation systems, ranking, contextual bandits, embeddings, feature stores, model serving, identity graphs, or real-time decisioning
  • You understand experimentation methodology, causal measurement, online metrics, and guardrail metrics
  • Experience with privacy, consent, data governance, or responsible artificial intelligence considerations in personalisation products
  • You have worked in travel, commerce, marketplaces, search, media, or another domain where relevance and intent are central to the customer experience


How success will be measured

In your first 12–18 months, success may include:


  • Establishing a clear, aligned roadmap for improving personalisation for cold-start, new, and anonymous travelers
  • Increasing the coverage and quality of relevant personalised experiences where historical traveler data is limited or unavailable
  • Improving traveler and business outcomes through robust experimentation and measurement
  • Strengthening adoption of shared personalisation capabilities by partner product teams
  • Improving visibility into platform performance, model quality, latency, data health, and key guardrails
  • Building trusted operating partnerships across product, engineering, data science, design, analytics, and business stakeholders

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Skills Required

  • 2+ years of experience shipping machine learning products or platform capabilities in a product management role
  • Strong product judgment, including framing ambiguous problems, identifying high-value opportunities, and making pragmatic decisions
  • Comfort working with technical teams on APIs, data flows, event instrumentation, model inputs and outputs, experimentation systems, or other platform concepts
  • Experience defining measurable outcomes and using quantitative and qualitative evidence to guide product decisions
  • Customer-centered approach and curiosity about how travelers discover, compare, and choose travel products
  • Clear communication and ability to influence engineering, data science, design, analytics, and business partners
  • Experience with cold-start, new-user, anonymous-user, or session-based personalization
  • Experience building or scaling shared platforms used by multiple product teams
  • Familiarity with recommendation systems, ranking, contextual bandits, embeddings, feature stores, model serving, identity graphs, or real-time decisioning
  • Understanding of experimentation methodology, causal measurement, online metrics, and guardrail metrics
  • Experience with privacy, consent, data governance, or responsible artificial intelligence considerations in personalization products
  • Experience in travel, commerce, marketplaces, search, media, or another domain where relevance and intent are central to customer experience

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits — Travel-aligned perks such as employee travel discounts and an annual travel/wellness reimbursement stand out as distinctive elements of the package. Wellness resources and mental health tools further enhance day-to-day lifestyle value.
  • Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with strong support including EAP and mental health offerings. U.S. coverage is frequently highlighted as a particular strength.
  • Parental & Family Support — Paid parental leave is characterized as generous for all parents, with additional time for the birthing parent. Family-building and caregiving resources extend to fertility, adoption, surrogacy, gender-affirming care, and specialized caregiver support.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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