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, flexible benefits, and 25 days paid leave plus a bonus day.
- Other info: Collaborative environment with opportunities for personal growth and career development.
- Why this job: Shape the future of fashion discovery with innovative personalisation strategies.
- Qualifications: Experience with recommender systems and a passion for data-driven decision making.
The predicted salary is between 70000 - 90000 € 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
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
Additional Information
- 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: ASOS
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 generous employee discount, flexible benefits, and ample opportunities for personal and professional growth in a dynamic environment. Join us in making a meaningful impact while enjoying a supportive atmosphere that values diversity and collaboration.
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 current or former ASOS employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into ASOS’s product offerings and their recommendations system. Show us you’re not just a fan of fashion but also understand how personalisation can enhance the shopping experience.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've driven product success in the past. We love hearing about your hands-on experimentation and data-driven decisions.
✨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 family.
We think you need these skills to ace Senior Product Manager (Recommendations) in London
Some tips for your application 🫡
Be Yourself:At ASOS, we want you to show up as your true self. Don’t be afraid to let your personality shine through in your application. Share your unique experiences and how they relate to the role!
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Product Manager position. Highlight your experience with recommendations and personalisation, and how you can contribute to our mission of creating tailored customer journeys.
Show Your Passion for Data:Since this role involves a lot of data-driven decision making, don’t forget to showcase your hands-on experience with A/B testing and analytics. We love seeing candidates who are excited about using data to improve customer experiences!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the ASOS team!
How to prepare for a job interview at ASOS
✨Know Your Recommendations Inside Out
Make sure you understand the core principles of recommendation systems, especially those relevant to e-commerce. Brush up on concepts like collaborative filtering and ranking models, as these will likely come up in your interview.
✨Showcase Your Experimentation Skills
Be prepared to discuss your hands-on experience with A/B testing and data-driven decision making. Have specific examples ready that demonstrate how you've used experimentation to drive product improvements and customer engagement.
✨Align with ASOS's Vision
Familiarise yourself with ASOS's mission to create personalised shopping experiences. Think about how your past work aligns with this vision and be ready to share ideas on how you can contribute to their goals.
✨Collaborate and Communicate
Highlight your ability to work across teams and influence without authority. Prepare examples of how you've successfully collaborated with product design, marketing, and data science teams to deliver impactful customer experiences.
