Lead Product Manager – Marketplace – Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland

Overview

As Lead Product Manager – Marketplace, you will shape and scale Tesco’s Marketplace to deliver category-focused experiences that resonate with customers. You will drive improvements in discovery, browsing, and shopping, while unlocking non-food and near-food growth via scalable, AI-powered product decisions. You’ll partner with cross-functional teams to turn data into insight and optimize core journeys from discovery to checkout. This role offers a chance to lead predictive, insight-led product management at scale and to shape the strategic direction of Marketplace.

Pay / Benefits

• Annual bonus up to 20% of base salary
• 25 days holiday plus personal day
• Private medical insurance
• Maternity and adoption leave (26 weeks)
• Paternity leave (6 weeks)
• Mental wellbeing support and EAP

Responsibilities

• Own Marketplace product areas end-to-end with impact on CX, conversion and growth
• Build category-led specialist experiences that feel credible and differentiated
• Drive fast, evidence-led decisions—test, learn, and scale
• Improve core journeys—discovery, range visibility, product detail, and checkout
• Use AI for predictive analysis, demand signals, and proactive decision making
• Apply AI-driven optimisation across merchandising, search, and personalisation
• Turn data into insight—enable continuous improvement and automated actions at scale
• Partner with commercial, design, data, and engineering teams to scale Marketplace experiences

Key requirements

• Strong experience in ecommerce, ideally Marketplace or extended range
• Deep expertise in at least one specialist category (electronics, home, beauty, pets etc.)
• Track record of launching and optimising Marketplace or extended range
• Experience owning a customer-facing product area with measurable impact
• Strong commercial mindset focused on growth and customer outcomes
• Experience using data, analytics, and AI/ML to drive product decisions

• collaboration and cross-functional alignment
• data-driven decision making
• strong commercial acumen
• AI/ML for product decisions
• data analytics and interpretation
• predictive modelling

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