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- Tasks: Lead the development of AI-driven product recommendations for a personalised shopping experience.
- 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 in retail by harnessing AI to enhance customer journeys.
- Qualifications: Experience in product management and a passion for AI and machine learning.
- Other info: Be part of a collaborative team driving ethical and transparent AI solutions.
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!
✨Tip Number 2
Prepare for the interview by diving deep into their AI and machine learning initiatives. We should be ready to discuss how our skills align with their goals in personalisation and ethical AI.
✨Tip Number 3
Showcase our passion for innovation! During interviews, let’s share examples of how we’ve driven product success through data-driven decisions and experimentation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows we’re genuinely interested in being part of the John Lewis family.
We think you need these skills to ace London, United Kingdom John Lewis Partnership Product Manager – Recommendations & AI
Some tips for your application 🫡
Show Your Passion for AI and Personalisation: When writing your application, let us see your enthusiasm for AI and how it can transform the shopping experience. Share any relevant projects or experiences that highlight your understanding of personalised recommendations.
Be Data-Driven: We love numbers! Make sure to include any metrics or success stories from your previous roles that demonstrate your ability to track and improve performance. This could be anything from CTR to conversion rates – we want to see how you’ve made an impact!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the Product Manager role at John Lewis Partnership. We appreciate when candidates show they’ve done their homework!
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 our team!
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 machine learning, especially as they relate to product recommendations. Be ready to discuss how these technologies can enhance customer experiences at John Lewis Partnership.
✨Showcase Your Data Skills
Prepare to talk about your experience with A/B testing and how you've used data to drive decisions in previous roles. Bring examples of success metrics you've tracked, like CTR and conversion uplift, to demonstrate your analytical prowess.
✨Emphasise Collaboration
This role requires working closely with various teams, so highlight your experience in bridging gaps between business stakeholders, data scientists, and engineers. Share specific examples of how you've fostered collaboration in past projects.
✨Champion Ethical AI Practices
Be prepared to discuss the importance of ethical AI and transparency in product development. Show that you understand the implications of AI in retail and how you would advocate for responsible practices within the team.
