At a Glance
- Tasks: Lead the development of AI-driven products and platforms that transform travel experiences.
- Company: Join a diverse and innovative team at Expedia Group, shaping the future of global travel.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Other info: Be part of a culture that celebrates diversity and fosters collaboration.
- Why this job: Make a real impact in the fast-evolving world of AI and machine learning.
- Qualifications: 5+ years in product management with a focus on AI/ML platforms and strong analytical skills.
The predicted salary is between 128000 - 179500 £ 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.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
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 to bring impactful AI/ML products to life. In this role, you will:
- 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:
- 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.
- 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.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
Product Manager III, GenAI & ML Platform in London employer: Expedia
Expedia Group is an exceptional employer that prioritises its employees' well-being and professional growth, offering a comprehensive benefits package that includes travel perks, generous time-off, and flexible work arrangements. Our vibrant and inclusive culture fosters collaboration and innovation, empowering team members to shape the future of travel while enjoying meaningful career development opportunities in dynamic locations like Chicago, Seattle, Austin, and San Jose.
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
Prepare for interviews by diving deep into GenAI and ML trends. Show us you’re not just familiar with the tech but passionate about how it shapes the future of travel. Bring your ideas to the table!
✨Tip Number 3
Practice your storytelling skills! We want to hear how you can translate complex concepts into relatable narratives. This is key when communicating with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our vibrant community.
We think you need these skills to ace Product Manager III, GenAI & ML Platform in London
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 mission to enhance travel through innovative tech.
Showcase Your Achievements:Don’t just list your responsibilities; we want to see your impact! Use specific examples of how you've driven product adoption or improved user experiences in previous roles. Numbers and outcomes speak volumes!
Be Clear and Concise:When writing your application, clarity is key. Avoid jargon where possible and make sure your ideas flow logically. We appreciate straightforward communication that gets to the point—just like we do in our products!
Apply Through Our Website:We encourage you to submit your application directly through our careers page. It’s the best way to ensure it reaches the right people and gives you a chance to explore more about our culture and values while you're at it!
How to prepare for a job interview at Expedia
✨Know Your Product Inside Out
Before the interview, dive deep into the GenAI and ML platforms. Understand their features, benefits, and how they align with business needs. Be ready to discuss how you can contribute to product strategy and execution.
✨Showcase Your Analytical Skills
Prepare examples of how you've used data to inform product decisions in the past. Highlight your experience with prioritising roadmaps and delivering technical products, as this will resonate well with the interviewers.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. This role requires translating intricate ideas into compelling narratives, so be sure to demonstrate your storytelling skills during the interview.
✨Emphasise Collaboration and Adaptability
Be ready to discuss your experience working with cross-functional teams, especially engineering and data science. Share examples of how you've navigated ambiguity and evolving priorities to deliver value, showcasing your ability to adapt.