Senior Product Manager (Recommendations)

Senior Product Manager (Recommendations)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the evolution of ASOS's recommendations platform and enhance customer experiences.
  • Company: Join ASOS, a global fashion retailer that celebrates individuality and creativity.
  • Benefits: Enjoy employee discounts, 25 days annual leave, and flexible benefits.
  • Other info: Collaborative environment with opportunities for personal growth and development.
  • Why this job: Shape the future of fashion discovery and make a real impact on millions of customers.
  • Qualifications: Experience with recommender systems and a passion for data-driven decision making.

The predicted salary is between 60000 - 80000 £ per year.

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

Digital Product at ASOS

At ASOS, we’re building the future of fashion discovery. Serving millions of customers globally, our product and tech teams power experiences that make shopping intuitive, inspiring, and deeply personal. Across Search & Discovery, our ambition is to create a journey that feels uniquely tailored to each customer—anticipating needs, surfacing inspiration, and removing friction at every step. Personalised recommendations sit at the heart of this vision—driving meaningful commercial impact while helping customers discover products and outfits they genuinely love.

About the Role

We’re hiring a Senior Product Manager to lead Recommendations & Personalisation at ASOS—owning the evolution of our core recommendations platform and key customer experiences. You will be responsible for:

  • Single-item product recommendations (e.g. “People also bought”)
  • The core recommendations system powering multiple touchpoints
  • Outfit recommendations and AI‑driven styling experiences

Your mission is to build a unified personalisation system that enables true 1:1 customer journeys across ASOS—balancing inspiration, relevance, and commercial outcomes. This is a high-impact, platform‑leaning role where you will operate across multiple product teams, shaping both the underlying systems and the customer‑facing experiences they enable.

What You’ll Do

  • Own recommendations strategy and platform direction
  • Define and lead the roadmap for ASOS’s recommendations ecosystem, spanning retrieval, ranking, and orchestration across surfaces
  • Drive towards a unified personalisation system across homepage, PLP, PDP, bag, and CRM
  • Balance short‑term commercial optimisation with long‑term platform capability building
  • Deliver high‑impact customer experiences
  • Shape how recommendations show up across the shopping journey—ensuring they are intuitive, inspiring, and on‑brand
  • Partner closely with Product Design to create experiences that enhance discovery without adding friction
  • Elevate outfit recommendations as a core driver of inspiration and basket building
  • Lead experimentation and data‑driven decision making
  • Define and run rigorous A/B tests and multi‑variant experiments to validate ideas and optimise performance
  • Establish clear metrics frameworks (conversion, AOV, engagement, profit) and use them to guide prioritisation
  • Drive a culture of evidence‑based decision making, balancing online and offline evaluation insights
  • Drive improvements in data foundations, observability, and real‑time personalisation capabilities
  • Operate across teams and stakeholders
  • Work hand‑in‑hand with ML teams on recommender systems, ranking models, and personalisation logic
  • Translate complex ML capabilities into clear product decisions and measurable outcomes
  • Lead across multiple squads, ensuring alignment and coherence across recs experiences and systems
  • Partner with Commercial, Trading, Marketing, and CX teams to align business goals with customer value
  • Navigate complex trade‑offs between revenue, profitability, availability, and experience quality

Qualifications

About You

  • Proven experience working with recommender systems, ranking, or search‑driven products
  • Strong track record of hands‑on experimentation (A/B testing) and data‑driven decision making
  • Experience working closely with machine learning / data science teams to ship customer‑facing features
  • Delivery of consumer‑facing products at scale, ideally within ecommerce or marketplaces
  • Pragmatic builder—able to move quickly from hypothesis to validated outcome
  • Collaborative leader who can influence without authority across functions
  • Customer‑obsessed and highly curious about how people discover products and make decisions
  • Ability to operate across multiple teams and initiatives, connecting platform and experience
  • Strong commercial instincts—able to balance customer value with revenue and profitability
  • Skilled at turning complex systems into clear strategy, roadmaps, and narratives
  • Comfortable navigating ambiguity and leading in fast‑moving, data‑rich environments
  • Familiarity with recommender approaches (e.g. collaborative filtering, embeddings, ranking models)
  • Understanding of trade‑offs in personalisation systems (relevance vs diversity, offline vs online performance, etc.)
  • Experience improving data quality, analytics, or experimentation frameworks

Additional Information

BeneFITS

  • Employee discount (hello ASOS discount!)
  • Employee sample sales
  • 25 days paid annual leave + an extra celebration day for a special moment
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
  • Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role

Senior Product Manager (Recommendations) employer: ASOS.com

At ASOS, we pride ourselves on fostering a vibrant and inclusive work culture where creativity thrives and every individual is encouraged to be their authentic self. As a Senior Product Manager, you'll not only lead innovative projects that shape the future of fashion discovery but also benefit from a range of perks including generous annual leave, private medical care, and a flexible benefits allowance. With a strong commitment to employee growth and a supportive environment, ASOS is an exceptional place for those seeking meaningful and rewarding careers in the heart of the fashion industry.

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Contact Details:

ASOS.com Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Manager (Recommendations)

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by researching ASOS and its culture. Understand their values and how you can contribute to their mission of personalisation and customer experience.

Tip Number 3

Showcase your skills through real-life examples. Be ready to discuss your past experiences with recommendations and personalisation, and how they align with ASOS’s goals.

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 genuinely interested in joining the ASOS team.

We think you need these skills to ace Senior Product Manager (Recommendations)

Recommendations Strategy
Personalisation Systems
A/B Testing
Data-Driven Decision Making
Recommender Systems
Ranking Models
Collaboration with Machine Learning Teams

Some tips for your application 🫡

Be Yourself:At ASOS, we want to see the real you! Don’t be afraid to let your personality shine through in your application. Share your unique experiences and how they relate to the role of Senior Product Manager.

Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with recommender systems and data-driven decision making, as these are key for us in this position.

Show Your Passion:We love candidates who are genuinely excited about fashion and technology. In your application, express your enthusiasm for creating personalised shopping experiences and how you envision contributing to our mission.

Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you on the path to joining our team!

How to prepare for a job interview at ASOS.com

Know Your Recommendations Inside Out

Make sure you understand the different types of recommendation systems, like collaborative filtering and ranking models. Be ready to discuss how these can enhance customer experiences at ASOS, and think about examples from your past work that demonstrate your expertise in this area.

Showcase Your Data-Driven Mindset

Prepare to talk about your experience with A/B testing and how you've used data to drive decisions. Bring specific metrics or outcomes from previous projects to illustrate your ability to balance commercial goals with user satisfaction.

Collaborate Like a Pro

ASOS values teamwork, so be ready to share examples of how you've worked across different teams, especially with machine learning or data science folks. Highlight your ability to translate complex ideas into actionable strategies that benefit both the customer and the business.

Embrace the ASOS Culture

Familiarise yourself with ASOS's commitment to inclusivity and creativity. Think about how you can contribute to this culture and be prepared to discuss how you would help foster an environment where everyone feels free to express their true selves.