Director of Engineering, Logistics

DoorDash, Inc

Quick summary

Work type
On-site
Location
San Francisco, CA · Sunnyvale, CA
Salary
$268,600–$395,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $332k
$123k most similar roles pay here $424k

This role pays more than 96% of similar roles. Most pay $151,757–$247,100 — the shaded band above. At the midpoint, this role pays about $332k versus about $199k for comparable roles.

Based on 239 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 238 open roles on FindRole.

Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Director of Engineering, Logistics

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As the Director of Engineering for DoorDash’s Logistics team in San Francisco, you will lead a multi-disciplinary organization of over 100 engineers to develop intelligent real-time systems that power DoorDash's fulfillment engine. Your responsibilities include defining the AI and platform vision, architecting decision engines for complex combinatorial problems, building production-grade machine learning models, scaling high-throughput infrastructure, and fostering cross-functional collaboration with business and product teams. Ideal candidates have extensive experience in large-scale systems, machine learning, and mathematical optimization, along with a proven track record of leading engineering organizations through hypergrowth. This role demands expertise in distributed systems, applied AI, and the ability to translate strategic business goals into technical roadmaps while mentoring high-potential leaders.

Skills

Python Java C++ Kubernetes Docker AWS Azure GCP CI/CD PostgreSQL Redis MongoDB Apache Spark TensorFlow PyTorch Kafka RabbitMQ Prometheus Grafana GitLab Jenkins

What you'll do

  • Define the AI & Platform Vision by driving engineering strategy for a unified, scalable platform.
  • Architect real-time decision engines to solve complex combinatorial problems at massive scale in milliseconds.
  • Build production-grade ML systems with robust feature stores and low-latency serving infrastructure.
  • Scale high-throughput infrastructure to handle exponential growth while maintaining platform stability.
  • Champion engineering excellence by mentoring leaders and attracting top talent in distributed systems and AI.

What we're looking for

  • 12+ years of software engineering experience, including 7+ years in leadership roles.
  • Deep expertise in building and scaling high-performing engineering organizations through hypergrowth phases.
  • Strategic mindset for defining multi-quarter roadmaps and making large-scale architectural decisions.
  • Proven ability to operate at the intersection of engineering, product, and business, aligning priorities across functions.
  • Extensive experience developing talent and fostering a culture of engineering excellence within teams.
  • Strong background in large-scale systems, machine learning, and mathematical optimization.

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