Senior Marketplace Manager - Uber Eats UK

About the Role

Uber Eats delivers millions of orders each week across the UK. Behind every delivery lies a sophisticated network of processes and algorithms designed to keep our operations running smoothly. These systems tackle challenges such as determining which merchants to show each customer, assigning the right courier to each order, and dynamically balancing customer demand with courier supply in real time.

In this role within the UK&I Central Operations team, you'll be at the heart of solving these complex problems. Leveraging data-driven insights, you'll collaborate closely with cross-functional teams-including Commercial, Finance, Data Science, and Product-to drive operational excellence and deliver an exceptional experience for both customers and couriers.

What the Candidate Will Do

• Own key aspects of our UK operations - such as delivery times, order completion rates, and throughput - to ensure a seamless experience for consumers, couriers, and merchants.
• Partner with global product teams to shape, test, and launch new features (e.g. enhanced matching algorithms, innovative customer propositions, autonomous deliveries).
• Use data-driven analysis to identify opportunities to improve our operations, and bring these opportunities to life through experimentation and continuous optimisation
• Build and optimise UK marketplace processes to ensure operational excellence (e.g. determining store level delivery areas, ensuring we have the right amount of courier supply)
• Collaborate with senior commercial stakeholders to improve account-level performance, using marketplace insights to inform strategy and support commercial decision-making

• Quantitative degree in STEM, Economics or similar
• 3+ years experience in operations/ analytics/ product ideally within a tech or strategy consultancy firm
• Strong commercial mindset with the ability to build compelling business cases to support recommendations
• Robust data analysis and technical skills, including advanced SQL to source data from large, complex data sources
• Excellent communication skills (both written and spoken)

• Able to use Python to perform data analysis (e.g. data manipulation, regression modeling)
• Experience working with a wide range of functional stakeholders (Product, Engineering, Commercial, Finance, Legal)