Director, Real-Time Logistics AI & Systems

DoorDash

California (MO)

On-site

USD 269,000 - 395,000

Full time

14 days+
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Job summary

DoorDash seeks a Director of Engineering to lead our Logistics team in San Francisco, overseeing real-time dispatch, dynamic pricing, and supply-demand balancing within a scalable AI/Optimization platform.

You will guide core fulfillment platforms with a focus on production reliability, scalability, and AI-powered decision making, partnering with business and product leads to deliver impact.

Qualifications

  • A B.S., M.S., or Ph.D. in Computer Science or equivalent.
  • 12+ years of software engineering experience, including 7+ years leading engineering managers and multiple teams.
  • Experience building and scaling high-performing engineering organizations, including hypergrowth and org changes.
  • Strategic mindset shaping multi-quarter roadmaps and architectural decisions at scale.
  • Ability to operate at the intersection of engineering, product, and business.

Responsibilities

  • Define the AI & Platform Vision: drive strategy toward a unified AI/Optimization platform.
  • Architect Real-Time Decision Engines: build systems solving VRP, assignment, pricing at scale.
  • Build Production-Grade ML: robust feature stores, low-latency serving, backtesting.
  • Scale High-Throughput Infrastructure: support millions of concurrent requests.
  • Cross-Functional Leadership: align with Business, Product, Data Science.
  • Champion Engineering Excellence: mentor leaders and hire top talent.

Skills

AI-native leadership
Distributed systems
Leadership of managers
Strategic thinking
Cross-functional collaboration
Talent development

Education

BS/MS/PhD in CS or equivalent

Job description

DoorDash seeks a Director of Engineering to lead our Logistics team in San Francisco, overseeing real-time dispatch, dynamic pricing, and supply-demand balancing within a scalable AI/Optimization platform.

You will guide core fulfillment platforms with a focus on production reliability, scalability, and AI-powered decision making, partnering with business and product leads to deliver impact.

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