Engineering Manager II, Marketplace Logistics

Engineering Manager II, Marketplace Logistics Department: Engineering Team: Manager Location: Seattle, United States Type: Full-Time **About the Role** Marketplace Logistics serves as the intelligence engine behind Uber’s delivery network. As the company's decision-making core, we enable seamless movement from point A to point B for all deliveries—spanning Uber Eats, Grocery, Retail, and Packages. We orchestrate the logic for dispatching, intelligent order batching, delivery time prediction, and optimizing pickup and delivery windows. We constantly balance the trade-offs between timeliness and cost to build the most efficient experiences for our users. Within the Marketplace Logistics organization, the Marketplace Simulation Team builds the systems for high-fidelity simulation of the Uber Marketplace. Our work mirrors the complex dynamics of our network, providing the critical validation layer for the algorithms that drive the business. This role offers exposure to the most critical services in the Uber stack, solving problems that range from scaling infrastructure to building machine learning models that accurately represent participant behaviors. **What You'll Do** - Provide technical leadership to a passionate, experienced, and diverse engineering team - Work with the team and partners to define the broader architecture for the Marketplace Matching Simulation team - See the big picture and identify inefficiencies and opportunities for meaningful improvements across that Logistics Matching Platform and Uber as a whole. - Drive alignment between teams on architecture and responsibility delineation between platforms and product services. - Raise the bar on engineering best practices across your org to produce best in class of code, and effective documentation, testing, and monitoring. **Basic Qualifications** - 4+ years experience as engineering manager - 7+ years experience in product engineering, designing and coding - Strong problem-solving skills, with expertise in algorithms, data structures, optimizations and data analysis - BS or MS in Computer Science or a related technical field, o