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Posted 1 day ago London, United Kingdom John Lewis Partnership Product Manager – Recommendation[...]

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Product Manager – Recommendation
Experimentation Jobs
Greater London
On-site
GBP 70,000 - 90,000
Full time
Today
Be an early applicant

Job summary

A leading retail company in the UK seeks a Product Manager – Recommendations & AI to own the product roadmap. This role involves defining success metrics and leading AI-driven features like personalized recommendations. The ideal candidate will bridge business stakeholders with data scientists, promoting ethical AI practices. The position aims to deliver a unique digital shopping experience while adhering to a test-and-learn culture.

Qualifications

  • Experience with AI-driven product features and recommendations.
  • Strong analytical skills to define and track success metrics.
  • Ability to collaborate with data scientists and engineers.

Responsibilities

  • Own the roadmap for product recommendations and AI-driven features.
  • Define and track success metrics including CTR and conversion uplift.
  • Champion a test-and-learn culture to ensure product effectiveness.

Skills

Product roadmap development
A/B experimentation
Data analysis
Stakeholder communication
Job description

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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