Senior Technical Product Manager - Recommendations & Relevance in London

Senior Technical Product Manager - Recommendations & Relevance in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of AI solutions to enhance user experiences and optimise product offerings.
  • Company: Join Expedia Group B2B, a leader in travel technology.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.
  • Why this job: Make a real impact by driving innovation in machine learning and recommendations.
  • Qualifications: 5+ years in technical product management with a focus on machine learning.

The predicted salary is between 70000 - 90000 £ per year.

We are seeking an exceptional Sr Technical Product Manager to join Expedia Group B2B.

This role will partner with the Director, Machine Learning Science – Recommendations & Relevance to build cutting‑edge Machine Learning and AI solutions that enhance our partners’ user experiences and optimise their product offerings.

You will focus on delivery management and on translating business requirements into clear problem statements and technical requirements for applied ML algorithms in the recommendations and relevance space.

The ideal candidate combines strong product/program management skills with a deep understanding of machine learning science to drive substantial value for Expedia Group B2B and our partners across multiple domains.

  • In this role, you will
  • Partner with the Director, Machine Learning Science – Recommendations & Relevance, and cross‑functional leadership to define and execute the applied science roadmap that improves recommendation quality, traveller engagement, and partner outcomes across all B2B products.
  • Own planning and delivery for key initiatives, from problem framing and opportunity sizing through data discovery, feature and signal definition, experiment design, model development, online testing, and rollout.
  • Translate partner and product needs into clear requirements, success metrics, and prioritised backlogs for the Recommendations & Relevance Machine Learning Science team, ensuring strong alignment with Product Management, Engineering, and Analytics.
  • Drive program execution and transparency across multiple teams, managing timelines, dependencies, and risks, and communicating plans, progress, and results to senior stakeholders in a clear and compelling way.
  • Champion operational excellence in the science lifecycle by promoting best practices in experimentation, offline and online evaluation, documentation, and post‑launch learning to continuously raise the bar on scientific rigor and impact.

Experience and qualifications

  • Bachelor's or master’s degree in computer science, engineering, statistics, mathematics or a related quantitative field, or equivalent practical experience.
  • 5+ years of experience in technical product management or technical program management in machine learning, data‑intensive, or large‑scale platform domains, with a proven track record of delivering complex technical products or initiatives.
  • Strong understanding of applied machine learning concepts (for example, supervised learning, ranking, recommendation, relevance), data ecosystems (such as data lakes, batch and streaming data processing), and how models are trained, evaluated, deployed, and monitored in production environments.
  • Demonstrated ability to translate ambiguous business problems into structured scientific problem statements, measurable success metrics, and clear technical roadmaps and requirements, balancing near‑term impact with longer‑term platform and capability investments.
  • Excellent communication, collaboration, and stakeholder management skills, with the ability to bridge technical and non‑technical audiences, lead cross‑functional initiatives, and manage multiple projects simultaneously in a fast‑paced environment.
  • 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.

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.

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Senior Technical Product Manager - Recommendations & Relevance in London employer: PowerToFly

At PowerToFly, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the surgical equipment sector. Our Camberley location provides a vibrant environment with ample opportunities for professional growth, supported by comprehensive training and development programmes. We value our employees' contributions and offer competitive benefits, making us a rewarding place to build a meaningful career.

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Contact Details:

PowerToFly Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Technical Product Manager - Recommendations & Relevance in London

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like PowerToFly!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at PowerToFly would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

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We think you need these skills to ace Senior Technical Product Manager - Recommendations & Relevance in London

Machine Learning
AI Solutions
Product Management
Technical Program Management
Data Discovery
Experiment Design
Model Development

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Senior Technical Product Manager - Recommendations & Relevance, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Technical Product Manager - Recommendations & Relevance position at PowerToFly. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at PowerToFly

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.