National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director of Product - Search and Recommendations

ASOS
London
8 months ago
Applications closed

Related Jobs

View all jobs

Director Data Science & Ai

Job Description

Digital Product at ASOS 

We're embarking on an exciting digital transformation journey, evolving our Digital Product team and processes with a powerful new way of working that places our digital products at the heart of our business.

We currently receive over 2.5 billion visits annually, over 23 million active customers, and over 50 million unique visitors monthly. This creates a highly committed and exciting environment with opportunities to develop best-in-class digital products.

We're looking for a product leader who will drive us forward to become one of the world's best and most innovative product teams.

As Director of Product, you'll be responsible for the product strategy and vision across our customer and partner acquisition stream. You'll drive high-quality traffic to the ASOS website and app and help unlock and build solid partner relationships.

  • Set and own the Search and Recommendations vision, mission, outcomes and roadmap to align with Digital Product Management product delivery vision and strategy
  • Collaborate with engineering, data science, and UX teams to design and build cutting-edge solutions.
  • Lead data-driven decision-making to improve algorithm performance, personalisation, and relevance.
  • Oversee the annual budgeting process by reviewing, amending and approving the budgets forecasted by the Product Managers and conduct quarterly budget reviews against actuals to identify cost over-runs, savings and allocate resources efficiently across the portfolio of products
  • Lead and oversee the performance of the product team. Continually coach and improve the Digital Product management leadership capability in the team to build the pipeline of future leaders and set external best practice standards within the team


Qualifications

About You 

  • Strong understanding of machine learning and data science principles.
  • Experience with large-scale distributed systems and search technologies.
  • Proven ability to manage cross-functional teams and deliver results in a fast-paced environment.
  • Experience operating, managing, and delivering results in a consumer-facing online retail environment
  • Agile product management experience and working in a squad model
  • A customer-centric mindset and approach to problem solving whilst maintaining a sharp focus on the commercial targets
  • Experience working closely with and influencing engineering teams
  • Focus on data-driven decisions to drive performance. 
  • Ability to create a growth mindset within the team and nurture talent to maximise potential



Additional Information

BeneFITS’ 

  • Employee discount (hello ASOS discount!) 
  • ASOS Develops (personal development opportunities across the business) 
  • Employee sample sales  
  • Access to a huge range of LinkedIn learning materials 
  • 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 

Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like. 

Want to find out how we’re tech powered? Check out the ASOS Tech Podcast herehttps://open.spotify.com/show/6rT4V6N9C7pAXcX60kzzxo.

Prefer reading? Check out our ASOS Tech Blog herehttps://medium.com/asos-techblog

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.