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DoorDash

DoorDash is an American technology company headquartered in San Francisco that operates a leading global local commerce and on-demand delivery platform. The company connects consumers with local merchants, offering last-mile logistics for restaurant meals, groceries, convenience goods, and retail items delivered by independent couriers. Beyond its core consumer marketplace, DoorDash provides digital ordering software, merchant advertising tools, and white-label fulfillment services for businesses across multiple countries.

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. We are also looking for a leader who is deeply bought into the transformative potential of AI; someone who sees large language models, foundation models, and world model architectures not as adjacent curiosities but as core primitives for reimagining how logistics systems learn, plan, and adapt at scale.

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.
  • Architect Real-Time Decision Engines: Lead the development of systems that solve complex combinatorial problems (VRP, assignment, pricing) in milliseconds at massive scale.
  • Build "Production-Grade" ML: Ensure that our machine learning models aren't just accurate in a notebook, but are backed by robust feature stores, low-latency serving infrastructure, and rigorous backtesting frameworks.
  • Scale High-Throughput Infrastructure: Evolve the underlying distributed systems to handle exponential growth, ensuring the platform remains stable under the load of millions of concurrent requests.
  • Cross-Functional Leadership: Partner with Business, Product, and Data Science to turn high-level marketplace objectives into technical roadmaps that balance long-term platform health with immediate business impact.
  • Champion Engineering Excellence: Scale the organization by mentoring high-growth leaders and attracting world-class talent in the fields of Distributed Systems and Applied AI.

We’re excited about you because you have…

  • A B.S., M.S., or Ph.D. in Computer Science or equivalent.
  • An AI-native leadership mindset. You are deeply convicted about the role of AI - including foundation models and world model approaches - in transforming logistics. You've thought seriously about how these technologies can move logistics beyond hand-tuned rules toward systems that learn, adapt, and generalize, and you know how to rally an engineering org around that vision without losing sight of production reliability and business impact.
  • 12+ years of software engineering experience, including 7+ years leading engineering managers and multiple teams.
  • Experience building and scaling high-performing engineering organizations. You've led multiple teams through hypergrowth, re-orgs, developed managers into leaders, and created leverage through systems and strategy.
  • A strategic mindset that shapes technical direction. You define multi-quarter roadmaps, make high-stakes architectural decisions at scale, and translate ambiguous business problems into clear technical strategies.
  • The ability to operate at the intersection of engineering, product, and business. You partner with cross-functional leaders to align on priorities, rally teams around shared goals, and use strong product instincts to drive business-critical outcomes.
  • Deep experience developing talent and building culture. You hire, coach, and promote strong engineering leaders while raising the bar on engineering excellence.

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:

  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States, including Illinois and Colorado.

$268,600—$395,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023.  We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:  https://getcovey.com/nyc-local-law-144.

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Work setup

Location
San Francisco

Compensation

Salary
$4k – $14k per year
Benefits
Life insurance, Parental leave
Equity
Equity stake in a tech company