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, 25 days leave, and flexible benefits tailored to you.
- Other info: Collaborative environment with opportunities for personal growth and development.
- Why this job: Shape personalised shopping journeys and make a real impact on customer experiences.
- Qualifications: Experience with recommender systems and a passion for data-driven decision making.
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
- 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
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: 慨正橡扯
At ASOS, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters creativity and innovation in the heart of fashion technology. Our commitment to employee growth is evident through personalised learning opportunities and a supportive environment that encourages collaboration across teams. With competitive benefits including generous annual leave, private medical care, and an enticing employee discount, ASOS is dedicated to ensuring our team members thrive both personally and professionally.
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, especially those at ASOS. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with recommendations and personalisation. Bring these along to interviews to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to product management and personalisation systems. Mock interviews with friends can help you nail your responses.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the ASOS team.
We think you need these skills to ace Senior Product Manager (Recommendations)
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 data analysis you've conducted. 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 stand out without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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, as well as any relevant projects you've worked on.
✨Showcase Your Data-Driven Mindset
Prepare examples of how you've used A/B testing and data analysis to drive product decisions. Highlight specific metrics you've tracked and how they influenced your recommendations strategy, as this will resonate with their focus on evidence-based decision making.
✨Collaborate Like a Pro
ASOS values teamwork across various functions. Be prepared to share experiences where you've successfully collaborated with cross-functional teams, especially with machine learning or data science teams, to deliver impactful customer-facing features.
✨Balance Commercial Goals with Customer Value
Think about how you can align business objectives with enhancing customer experiences. Prepare to discuss how you've navigated trade-offs between revenue and user satisfaction in past roles, as this is crucial for the Senior Product Manager position.
