Engineering Manager, Merchant, AI/ML

DoorDash; New York (NY); On-site; USD 193,800 - 285,000; Full time

Benefits offered by this job

401(k) with employer matching

Parental leave (16 weeks)

Wellness benefits

Commuter benefits

Paid time off

Medical, dental & vision

Mental health program

Job summary

DoorDash is seeking an Engineering Manager for the Mx AI/ML team in New York to lead the design and deployment of next-generation AI product solutions powering merchant experiences.

You will collaborate with product, design, operations, and data science to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale.

Qualifications

• Lead and grow a team of AI/ML engineers delivering production-grade ML solutions.
• Define a multi-year AI roadmap across Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation.
• Partner with product and operations to translate merchant pain points into scalable AI-powered solutions.
• Own the end-to-end lifecycle of ML systems—from ideation and experimentation to productionization and continuous improvement.
• Drive innovation in multimodal AI, LLM-driven assistants, and GenAI content creation.
• Mentor and develop engineers, shaping the next generation of applied AI leadership at DoorDash.

Responsibilities

• Lead and grow a team of AI/ML engineers delivering production-grade ML solutions.
• Define and execute the AI roadmap across key pillars for the merchant experience.
• Collaborate with product and operations to translate merchant pain points into scalable AI-powered solutions.
• Own end-to-end lifecycle of ML systems—from ideation to production and iteration.
• Mentor engineers and cultivate an inclusive, high-impact engineering culture.

Skills

ML leadership

Roadmap definition

Cross-functional collaboration

Production ML systems

AI/GenAI innovation

Mentoring engineers

Strategic thinking

Job description

About the Team

The Merchant (Mx) AI/ML team is a cornerstone of DoorDash's merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement.

Our world‑class machine learning engineers develop production‑grade AI solutions that power the entire merchant lifecycle ‑ from onboarding and store setup to menu management, growth, and real‑time order operations. The team is deeply customer‑obsessed and impact‑driven, focused on turning cutting‑edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day.

About the Role

We're looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next‑generation AI product solutions that power our merchant experiences.

This is a highly cross‑functional leadership role - you'll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end‑to‑end AI/ML solutions at massive scale.

You'll lead a team of talented ML engineers who are building real AI products delivered to merchants' fingertips, helping them become more successful on DoorDash.

You’re excited about this opportunity because you will…

• Lead and grow a team of exceptional AI/ML engineers developing production‑grade machine learning and generative AI solutions for the merchant ecosystem.
• Define a multi‑year strategy and execute the AI roadmap across key Mx pillars - Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation.
• Partner with product and operations to translate merchant pain points into scalable AI‑powered solutions.
• Own the end‑to‑end lifecycle of ML systems - from ideation and experimentation to productionization and continuous improvement.
• Drive innovation in multimodal AI, LLM‑driven assistants, and GenAI content creation.
• Foster a strong engineering culture emphasizing experimentation, reliability, and measurable business impact.
• Mentor and develop engineers, shaping the next generation of applied AI leadership at DoorDash.

You can find out more on our ML blog here.

We're excited about you because you have…

• 7+ years of industry experience in machine learning and AI engineering, including 2+ years of leadership experience managing applied scientists and ML engineers.
• A proven track record of building and deploying AI/ML systems at scale, with shipped AI‑powered products that have reached millions of users.
• Broad knowledge of machine learning and technical depth in one or more areas: computer vision, natural language processing, generative models, or large‑scale agent systems.
• Strong communication skills and the ability to partner effectively with cross‑functional stakeholders.
• A demonstrated ability to define clear roadmaps and execution plans to deliver team success.
• A passion for building teams, mentoring talent, and cultivating an inclusive, high‑impact culture.
• Experience at the intersection of product and engineering, using AI to solve real customer problems.

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

We use 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 provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey.

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.

$193,800 — $285,000 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—Dashers to merchant partners to consumers. We are a technology and logistics company that started with door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known for delivering 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.