At a Glance
- Tasks: Lead the evolution of ASOS's recommendations platform and enhance customer experiences.
- Company: Join ASOS, a global leader in fashion discovery and innovation.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days paid leave plus a bonus scheme.
- Other info: Collaborative environment with opportunities for personal growth and learning.
- Why this job: Shape personalised shopping journeys and make a real impact on customer experiences.
- Qualifications: Experience with recommender systems and strong data-driven decision-making skills required.
The predicted salary is between 70000 - 90000 £ per year.
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
Core experience
- 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
Product craft and leadership
- 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
Technical and domain understanding
- 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
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) in London employer: 慨正橡扯
At ASOS, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters creativity and collaboration. Our commitment to employee growth is evident through personalised learning opportunities and a supportive environment where innovation thrives. Located in a dynamic industry, we provide competitive benefits, including generous annual leave, private medical care, and an enticing employee discount, making ASOS a truly rewarding place to advance your career in digital product management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager (Recommendations) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at ASOS. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for the interview by diving deep into ASOS’s product offerings. Understand their recommendations system and think about how you can contribute to making it even better. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills. Be ready to share your past experiences with recommender systems and A/B testing in a way that highlights your impact. We want to see how you’ve made a difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the ASOS team.
We think you need these skills to ace Senior Product Manager (Recommendations) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with recommender systems and personalisation. We want to see how your skills align with our mission at ASOS, so don’t hold back on showcasing relevant projects!
Show Your Data-Driven Side:Since this role is all about experimentation and data-driven decision making, include specific examples of A/B tests or metrics you've worked with. We love seeing how you’ve used data to drive results in previous roles!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨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 how you would apply them in your role.
✨Showcase Your Experimentation Skills
Prepare to talk about your hands-on experience with A/B testing and data-driven decision making. Have specific examples ready that demonstrate how your experiments led to measurable outcomes, especially in e-commerce or marketplaces.
✨Connect with Cross-Functional Teams
Highlight your ability to work collaboratively across various teams, such as Product Design and ML teams. Share examples of how you've influenced product decisions without direct authority, showcasing your leadership skills.
✨Balance Commercial and Customer Needs
Be prepared to discuss how you would balance short-term commercial optimisation with long-term platform capabilities. Think about how you can drive revenue while still providing a personalised and frictionless shopping experience for customers.
