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

Nominate & Attend

Product Manager

Retail-ROI
UK
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (Viator)...

Data Scientist

Machine Learning Expert

Pricing Manager (Data Scientist) - Remote

Data Science Manager

PLM Data Architect

Description Summary As the Product Manager for our Personalised Offers Engine you will manage the capabilities which serve offers to our 18m Sparks customers, from data science modelling, through offer allocation, to reporting and measurement. You’ll delight our customers, and unlock significant value to the business, through the development of data-driven processes to select the best offers at any given time for every one of our customers. This is an exciting opportunity to join the Loyalty D&T team, and create products our teams love, directing product from design through to launch and maintenance, while role modelling digital behaviours and nurturing a culture of data-driven decision making throughout. Acting as the ‘voice of the customer’, you'll develop innovative data driven product solutions to sophisticated customer problems, translating customer needs into a product strategy, vision(s), roadmap(s) and backlog(s); either as the owner of a simple product or supporting experienced product managers to deliver on more complex products. What’s in it for you Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us. Here are some of the benefits we offer that make working for M&S just that little bit more special… 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household. Competitive holiday entitlement with the potential to buy extra holiday days Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business. A generous Defined Contribution Pension Scheme and Life Assurance. A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family. Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work. What you'll do Support with shaping the product vision to influence business outcomes; balancing priorities motivated by customer needs, product health and industry trends. The mission is to collaborate across M&S to design and deliver desirable resilient solutions. Management of complex products that lead to the delivery of measurable value. Collaborate closely with partners aligning business, product and technical priorities to support the product direction and promote the product roadmap Manage/support the backlog and prioritise new features Define user stories, features and functionality that alleviates current pain points and improves customer experience Partner with a multi-disciplinary squad (Data Scientists, Data Engineers, ML Ops, Delivery) through the Product Management lifecycle, ensuring success measures are defined and tracked and communicated Support with the creation of business cases as required Gain an understanding of DevOps processes, understanding the triage and resolution of major incidents and principles of operational success Own/Support launch readiness with clear communication collaborating closely with all parties to ensure adoption Track industry developments and suggest innovation opportunities for your product to ensure M&S is best in class Become proficient in experimentation techniques, user science tools and data analysis to validate ideas Who you are A good understanding of and interest in product management tools and processes and customer needs Able to organize and prioritise collaboratively across multiple disciplines Analytical and logical approach to problem solving Good communication skills with the ability to effectively communicate with cross functional teams Awareness of Product delivery in an Agile software environment Understanding of Product Health and performance Experience with data science products desirable Experience within retail desirable but not essential Everyone’s welcome We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. LI-LS1 LI-Hybrid

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.