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Senior Technical Product Manager - Growth Marketing

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: 11310 Expedia.com Ltd.
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 129000 - 181000 GBP Yearly GBP 129000.00 181000.00 YEAR
Job Description & How to Apply Below

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'l 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.

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. Make an impact! Join Expedia Group’s Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions.

Product

Owner responsibilities

In this role, you will:

  • Lead product strategy, roadmap, and execution for AI, machine learning, automation, and decisioning capabilities within Growth Marketing Technology, from discovery through production and ongoing optimization
  • Partner deeply with engineering, data science, analytics, and marketing teams to define scalable solutions across measurement, automation, optimization, and intelligent marketing workflows
  • Lead technical discovery and solutioning by translating complex marketing problems into clear product requirements, system capabilities, data flows, APIs, workflow orchestration, and measurable outcomes
  • Own the product lifecycle with engineering and data science, including data and feature pipelines, model or system selection, experimentation, evaluation, deployment, monitoring, guardrails, and feedback loops
  • Drive the productionization of AI and agentic capabilities, including tool use, orchestration, state and context management, failure handling, human-in-the-loop experiences, and operational controls
  • Define validation approaches and success measures for AI and ML products, using appropriate offline and online metrics, experimentation, quality thresholds, error analysis, and business impact measures
  • Use customer, campaign, and product data to identify opportunities, evaluate performance, make technical and product trade-offs, and continuously improve system quality and marketing effectiveness
Experience and qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field; or equivalent related professional experience
  • 8+ years of product management experience, including significant ownership of data, platform, automation, AI, ML, or decisioning products
  • Demonstrated experience taking AI or ML capabilities from problem definition or prototype through production launch and ongoing operation at scale
  • Strong understanding of the machine learning lifecycle, including data preparation, feature development, model training, evaluation, experimentation, deployment, monitoring, drift, and iteration
  • Experience partnering with engineering and data science on technical architecture, APIs, data pipelines, workflow orchestration, scalable data products, MLOps, observability, and reliability
  • Experience defining evaluation and validation frameworks for AI or ML products, including offline metrics, online experimentation, human evaluation, quality thresholds, error analysis,…
Position Requirements
10+ Years work experience
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