Engineering Manager, Merchant, AI/ML

Doordashusa; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Medical, dental, and vision benefits

Job summary

Doordashusa is seeking an Engineering Manager for the Mx AI/ML team in San Francisco, CA. This role involves leading a team of ML engineers to develop production-grade AI solutions that enhance merchant experiences on the platform.

The successful candidate will have over 7 years of experience in machine learning, with proven capabilities in building AI systems at scale. Competitive compensation includes salary and equity grants alongside comprehensive benefits.

Qualifications

• 7+ years of industry experience in machine learning and AI engineering.
• 2+ years of leadership experience managing applied scientists and ML engineers.
• Proven track record of building and deploying AI/ML systems at scale.

Responsibilities

• Lead and grow a team of exceptional AI/ML engineers.
• Define a multi-year strategy and execute the AI roadmap.
• Partner with product and operations to translate merchant pain points.

Skills

Leadership

Machine learning

AI engineering

Cross-functional collaboration

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.

Responsibilities

• 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.

Qualifications

• 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.

Compensation and Benefits

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 offers 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. 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.

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. DoorDash values 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.