Engineering Manager, Merchant, AI​/ML

Engineering Manager, Merchant, AI/ML at Door Dash.

The Merchant (Mx) AI/ML team is a cornerstone of Door Dash’s merchant organization. We empower our restaurant partners to thrive on Door Dash 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.

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 Door Dash.

• 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 Door Dash.

• 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.

The successful candidate’s starting pay will fall within the pay range listed below. In addition to base salary, the compensation for this role includes equity grants. Talk to your recruiter for more information.

$193,800—$285,000 USD

Door Dash 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). Door Dash 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.

• 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.…