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Director of Engineering, Logistics
DoorDash
π
San Francisco, United States
Location
San Francisco
Posted
June 10, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
About the Team
DoorDash is seeking a seasoned Engineering Director to lead our Logistics Org. Youβll lead a multi-disciplinary organization of 100+ engineers (Backend, Mobile, Machine Learning, and Operations Research) to architect the intelligent, real-time systems that comprise the brain of our fulfillment engine. This organization builds the optimization engines and high-throughput AI platforms that guide millions of Dashers and deploy tens of millions of dollars in real-time. This team sits at the heart of DoorDashβs fulfillment ecosystem, powering the delivery and courier data that drives our logistics engine. We build the foundational models and workflows that enable our customer teams (Order, Shopping, and beyond) to build extensible solutions on top of the platform.
About the Role
DoorDash is seeking a Director of Engineering with a deep background in Large-Scale Systems, Machine Learning, and Mathematical Optimization to lead our Logistics team in San Francisco. In...
DoorDash is seeking a seasoned Engineering Director to lead our Logistics Org. Youβll lead a multi-disciplinary organization of 100+ engineers (Backend, Mobile, Machine Learning, and Operations Research) to architect the intelligent, real-time systems that comprise the brain of our fulfillment engine. This organization builds the optimization engines and high-throughput AI platforms that guide millions of Dashers and deploy tens of millions of dollars in real-time. This team sits at the heart of DoorDashβs fulfillment ecosystem, powering the delivery and courier data that drives our logistics engine. We build the foundational models and workflows that enable our customer teams (Order, Shopping, and beyond) to build extensible solutions on top of the platform.
About the Role
DoorDash is seeking a Director of Engineering with a deep background in Large-Scale Systems, Machine Learning, and Mathematical Optimization to lead our Logistics team in San Francisco. In...