Director of Engineering, Logistics
DoorDash · San Francisco, CA | Sunnyvale, CA · 342 Logistics Engineering
About this role
DoorDash is hiring a vp-level VP of Engineering in the software engineering function based in San Francisco, CA | Sunnyvale, CA. The posting calls out experience with Feature Engineering, Distributed Systems, Machine Learning, Backend Development. Compensation is listed at $268,600–$395,000 per year.
- Role
- VP of Engineering
- Function
- software engineering
- Level
- vp
- Track
- Management
- Employment
- Full-time
- Location
- San Francisco, CA | Sunnyvale, CA
- Department
- 342 Logistics Engineering
More roles at DoorDash
Job description
from DoorDash careers
About the Team
DoorDash is seeking a seasoned Engineering Director to lead our Logistics Org. You’ll 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 DoorDash’s 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 this role, you are the architect of our three-sided marketplace. You will oversee the development of the core fulfillment platforms responsible for real-time dispatching, dynamic pricing task-allocation, ETAs and supply-demand balancing. This is a unique opportunity to marry complex algorithmic research with "five-nines" platform reliability.
You’re excited about this opportunity because you will…
- Define the AI & Platform Vision: Drive the engineering strategy, transitioning bespoke algorithmic solutions into a unified, scalable AI/Optimization platform.