Head of AI-Driven Real-Time Logistics

DoorDash High Volume

San Francisco (CA)

On-site

USD 269,000 - 395,000

Full time

14 days+
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Benefits offered by this job

401(k) with employer matching
16 weeks paid parental leave
Wellness benefits
Commuter benefits match
Paid time off & paid sick leave
Medical, dental & vision benefits

Job summary

DoorDash seeks an Engineering Director to lead our Logistics Org in San Francisco, overseeing 100+ engineers across Backend, Mobile, ML and OR to architect real-time systems powering our fulfillment engine. You will drive AI-native platforms, scale high-throughput infrastructure, and mentor leaders while aligning technical roadmaps with business goals.

This role blends algorithmic research with production reliability and equity opportunities.

Qualifications

  • 12+ years of software engineering experience.
  • 7+ years leading engineering managers and multiple teams.
  • Experience scaling high-performing engineering orgs through hypergrowth and re-orgs.
  • Strategic thinker shaping multi-quarter roadmaps and architecture.
  • Ability to partner with engineering, product, and business leaders.
  • AI-native leadership mindset with focus on production reliability.

Responsibilities

  • Define the AI & Platform Vision and scalable AI/Optimization platform.
  • Architect real-time decision engines for dispatching, pricing, and allocation.
  • Build production-grade ML with feature stores and low-latency serving.
  • Scale throughput infrastructure to handle millions of concurrent requests.
  • Mentor leaders and drive engineering excellence across teams.
  • Align technical roadmaps with business objectives.

Skills

Large-Scale Systems
Machine Learning
Mathematical Optimization
Distributed Systems
Leadership
Strategic Roadmaps
Cross-Functional Collaboration
Talent Development

Education

B.S./M.S./Ph.D. in Computer Science or equivalent

Job description

DoorDash seeks an Engineering Director to lead our Logistics Org in San Francisco, overseeing 100+ engineers across Backend, Mobile, ML and OR to architect real-time systems powering our fulfillment engine. You will drive AI-native platforms, scale high-throughput infrastructure, and mentor leaders while aligning technical roadmaps with business goals.

This role blends algorithmic research with production reliability and equity opportunities.

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