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Senior Technical Product Manager - Growth Marketing

Job in Seattle, King County, Washington, 98127, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 173000 - 242500 USD Yearly USD 173000.00 242500.00 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'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.

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. As a Product owner, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. You will partner closely with engineering and machine learning teams to define priorities and solve complex problems.

This is an opportunity to lead meaningful work and influence how modern marketing capabilities are built and delivered.

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,…
Position Requirements
10+ Years work experience
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