Product Manager III, GenAI & ML Platform in London

Product Manager III, GenAI & ML Platform in London

London Full-Time 137500 - 192500 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of AI-driven products and platforms that enhance global travel experiences.
  • Company: Join Expedia Group, a leader in innovative travel technology.
  • Benefits: Enjoy competitive pay, health benefits, travel discounts, and a supportive work environment.
  • Other info: Collaborative culture with opportunities for growth and impact.
  • Why this job: Shape the future of travel with cutting-edge AI and machine learning solutions.
  • Qualifications: 5+ years in product management with a focus on AI/ML platforms.

The predicted salary is between 137500 - 192500 £ per year.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

The GenAI and Machine Learning Platform team is responsible for building and scaling the internal capabilities that power AI-driven innovation across the organization. This includes developing shared platforms, tools, and workflows that enable teams to leverage Generative AI, machine learning, and automation to improve productivity, decision-making, and customer experiences. Within this fast-evolving space, the team plays a critical role in translating emerging AI opportunities into practical, scalable solutions. This role sits at the heart of that effort—working closely with engineering, machine learning and product leadership to drive adoption, shape priorities, and ensure platform capabilities align with real business needs.

As a Product Manager III, you will help bridge strategy and execution, supporting both roadmap delivery and the day-to-day orchestration required to bring impactful AI/ML products to life.

Responsibilities

  • Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business priorities and platform adoption goals.
  • Partner closely with engineering, data science, and cross-functional stakeholders to translate complex platform and customer needs into clear product requirements, prioritized backlogs, and actionable deliverables.
  • Drive adoption and usability of internal AI platform tools and workflows, ensuring they effectively meet user needs and scale across teams.
  • Lead product development across the lifecycle—from concept through launch and iteration—balancing technical feasibility, user experience, and operational effectiveness.
  • Use data, experimentation, and stakeholder feedback to evaluate performance, inform prioritization decisions, and continuously improve product outcomes.
  • Contribute to shaping scalable, reliable, and secure AI/ML platform capabilities, including workflow automation, productivity tools, and model-enabled systems.
  • Collaborate across multiple technical domains, navigating ambiguity and evolving priorities to deliver incremental value while supporting longer-term platform vision.
  • Communicate clearly and effectively, translating complex technical concepts into compelling product narratives for both technical and non-technical audiences.

Minimum Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5+ years of product management or related experience, with ownership of product initiatives within a domain or across multiple teams.
  • Experience defining product requirements, prioritizing roadmaps, and delivering technical products or platform capabilities in partnership with engineering teams.
  • Strong analytical and decision-making skills, with the ability to use data and insights to guide strategy, measure outcomes, and navigate trade-offs.
  • Experience working on or supporting GenAI, machine learning platforms, developer platforms, or other highly technical products.
  • Familiarity with AI-driven tools, workflow automation, or productivity platforms, and how they drive adoption and business impact.
  • Understanding of AI/ML-enabled products, platforms, or workflows, including practical exposure to how AI-driven systems are built and used.
  • Ability to work effectively in highly technical and ambiguous environments, balancing hands-on execution with strategic thinking.
  • Strong communication and storytelling skills, with the ability to clearly articulate product strategy and simplify complex concepts.

Preferred Qualifications

  • Demonstrated ability to take products from early-stage concepts through to scaled adoption.
  • Strong balance of technical depth and product leadership, including experience collaborating closely with engineers and contributing to technical discussions.
  • Experience driving platform adoption, including identifying user needs, prioritizing features, and improving usability and engagement.
  • Experience operating in environments with high stakeholder demand and competing priorities, with the ability to bring structure and clarity.
  • Understanding of operational considerations for platform products, including reliability, scalability, and continuous improvement through data-driven insights.
  • Previous experience in a related technical role such as software engineering, machine learning science or similar.
  • Masters or PhD degree in a technical discipline.

Compensation (varies by location)

The total cash ranges and top of range figures are provided in the original listing and vary by location: Chicago: 128,000.00–179,500.00 (top 205,000.00); Seattle: 137,500.00–192,500.00 (top 220,000.00); Austin: 137,500.00–192,500.00 (top 220,000.00); San Jose: 149,000.00–208,500.00 (top 238,500.00). Starting pay varies by location, budget, and experience. Pay ranges may be modified in the future.

Benefits and Additional Information

Expedia Group offers a wide range of benefits including medical/dental/vision, paid time off, Employee Assistance Program, wellness and travel reimbursement, travel discounts, and IATAN membership. Accommodation requests process is available for applicants with disabilities. Expedia Group is an equal opportunity employer and participates in E-Verify. For more information, please see the official careers site.

Compliance

Employment opportunities and job offers will come from Expedia Group’s Talent Acquisition and hiring teams. Do not share sensitive information with unfamiliar recipients. Official domain is @expediagroup.com. The official site is careers.expediagroup.com/jobs.

Product Manager III, GenAI & ML Platform in London employer: PowerToFly

Expedia Group is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration. As a Product Manager III in the GenAI & ML Platform team, you will have access to extensive employee growth opportunities, competitive benefits including wellness programmes and travel discounts, and the chance to work at the forefront of AI-driven technology in dynamic locations like Seattle and Austin. Join us to make a meaningful impact on global travel while advancing your career in a supportive environment.

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Contact Details:

PowerToFly Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Manager III, GenAI & ML Platform in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Expedia Group. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with GenAI and ML platforms. This is your chance to demonstrate how you've tackled challenges and delivered results.

Tip Number 3

Get ready for the interview! Research common questions for Product Managers and think about how your background aligns with the role. Practice articulating your thoughts clearly—remember, storytelling is key!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Expedia Group family.

We think you need these skills to ace Product Manager III, GenAI & ML Platform in London

Product Management
GenAI
Machine Learning
Data Analysis
Technical Requirements Definition
Roadmap Prioritisation
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Product Manager III role. Highlight your experience with GenAI and ML platforms, and show us how your skills align with our needs. A personal touch goes a long way!

Showcase Your Achievements:When detailing your past experiences, focus on specific achievements that demonstrate your product management prowess. Use metrics where possible to illustrate your impact—numbers speak louder than words!

Be Clear and Concise:We love clarity! Make sure your application is easy to read and gets straight to the point. Avoid jargon unless it’s relevant, and ensure your passion for AI and product management shines through.

Apply Through Our Website:Don’t forget to submit your application through our official careers site. This ensures it reaches the right people and gives you the best chance of standing out in the crowd. We can’t wait to see what you bring to the table!

How to prepare for a job interview at PowerToFly

Know Your Product Inside Out

Before the interview, dive deep into the GenAI and ML platform. Understand its features, benefits, and how it aligns with business needs. Be ready to discuss how you can contribute to its development and adoption.

Showcase Your Analytical Skills

Prepare examples of how you've used data to inform product decisions in the past. Highlight your ability to evaluate performance and make data-driven recommendations, as this is crucial for the role.

Communicate Clearly and Confidently

Practice explaining complex technical concepts in simple terms. This will demonstrate your strong communication skills and ability to bridge the gap between technical and non-technical stakeholders.

Be Ready for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in ambiguous situations. Think of past experiences where you navigated competing priorities or drove platform adoption, and be prepared to share those stories.