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

Overview

In this role you will shape how pricing decisions are made across Tesco, building data-driven products and AI-enabled experiences. You will work with commercial, engineering, data science and analytics teams to solve high-value problems and translate strategy into roadmaps. You will simplify pricing challenges through intuitive user experiences and product capabilities, enabling better pricing decisions. This is a transformation role at scale within a team focused on delivering measurable business and customer impact.

Pay / Benefits

• Annual bonus up to 20% of base salary
• Holiday starts at 25 days plus personal day
• Private medical insurance
• Maternity/adoption leave and paternity leave
• Mental wellbeing support via EAP and 24/7 GP
• Flexible working and inclusive recruitment practices

Responsibilities

• Own and develop product capabilities within the Price domain
• Collaborate with users to understand problems, identify opportunities and validate solutions
• Define clear product outcomes and success measures aligned to business objectives
• Translate strategy into prioritised roadmaps, initiatives and delivery plans
• Partner with engineering, design, analytics and data science teams throughout the product lifecycle
• Use customer insight, research and data to make informed product decisions
• Drive discovery activities to ensure teams solve the right problems
• Balance short-term priorities with longer-term strategic objectives
• Navigate ambiguity, make informed decisions and align others around a clear direction
• Champion an outcomes-over-output mindset, ensuring delivery focuses on measurable value
• Build strong relationships with stakeholders across business and technology functions
• Continuously identify opportunities to improve processes, experiences and decision making across pricing

Key requirements

• solve complex problems across technology and business teams
• deliver meaningful outcomes in ambiguous environments
• curious, motivated and excited by transformation
• strong product instincts, learning mindset, impact through data and technology
• willingness to apply even if not all requirements are met

• curiosity
• transformation mindset
• strong collaboration
• data-driven decision making
• AI-enabled experiences
• cross-functional collaboration with data science and analytics teams

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