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- Tasks: Lead the development of AI-driven product recommendations and personalised shopping experiences.
- Company: Join the UK's largest employee-owned business, John Lewis Partnership.
- Benefits: Enjoy a competitive salary, employee ownership, and a focus on innovation.
- Why this job: Make a real impact on retail through cutting-edge AI technology.
- Qualifications: Experience in product management and a passion for AI and machine learning.
- Other info: Be part of a purpose-driven team that values collaboration and ethical practices.
The predicted salary is between 36000 - 60000 £ per year.
Why Here? John Lewis Partnership stands as the largest employee‑owned business in the UK, home to cherished brands John Lewis and Waitrose. Partners drive innovation in retail through purpose‑led initiatives that build a happier world. This role sits within the digital experience team, harnessing machine learning and AI to deliver personalised shopping journeys that feel uniquely John Lewis.
What Will You Do? As a Product Manager – Recommendations & AI at John Lewis Partnership, you will own the roadmap for product recommendations and AI‑driven features like personalised carousels and predictive models. You will define and track success metrics including CTR, conversion uplift, and model precision through rigorous A/B experimentation. Additionally, you will champion a test‑and‑learn culture, bridging business stakeholders with data scientists and engineers to ensure ethical, transparent AI products.
London, United Kingdom John Lewis Partnership Product Manager – Recommendations & AI employer: Experimentation Jobs
Contact Detail:
Experimentation Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London, United Kingdom John Lewis Partnership Product Manager – Recommendations & AI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at John Lewis Partnership on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by diving deep into their AI and machine learning initiatives. We should be ready to discuss how we can contribute to their personalised shopping journeys and bring fresh ideas to the table.
✨Tip Number 3
Showcase our passion for ethical AI! During interviews, let’s highlight our commitment to transparency and ethics in tech. This aligns perfectly with their values and can set us apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in being part of the John Lewis Partnership family.
We think you need these skills to ace London, United Kingdom John Lewis Partnership Product Manager – Recommendations & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Product Manager role. Highlight any experience you have with AI, machine learning, or product recommendations to show us you're a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about personalised shopping journeys and how your background makes you the ideal candidate for this role at John Lewis Partnership.
Showcase Your Metrics-Driven Mindset: Since you'll be defining success metrics like CTR and conversion uplift, make sure to include examples in your application where you've successfully used data to drive decisions. We love a numbers-driven approach!
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 this exciting opportunity with John Lewis Partnership!
How to prepare for a job interview at Experimentation Jobs
✨Know Your AI and Recommendations
Make sure you brush up on the latest trends in AI and product recommendations. Be ready to discuss how machine learning can enhance customer experiences, and think of examples where you've successfully implemented similar strategies.
✨Metrics Matter
Since this role involves tracking success metrics like CTR and conversion uplift, come prepared with insights on how you've measured success in previous projects. Be specific about the metrics you used and the outcomes they led to.
✨Embrace the Test-and-Learn Culture
John Lewis Partnership values a test-and-learn approach, so be ready to share your experiences with A/B testing. Discuss how you've used experimentation to drive product improvements and what you learned from those tests.
✨Bridge the Gap
This role requires collaboration between business stakeholders, data scientists, and engineers. Prepare examples of how you've successfully worked across teams in the past, highlighting your communication skills and ability to champion ethical AI practices.
