Engineering Manager, Merchant, AI/ML job opportunity at DoorDash, Inc..



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DoorDash, Inc. Engineering Manager, Merchant, AI/ML
Experience: 8-years
Pattern: full-time
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degreeBachelor's (B.Eng.)
loacation San Francisco, Sunnyvale, California, Seattle, Washington, New York City, United States Of America
loacation San Francisco,..........United States Of America

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. __ 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.

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Engineering Manager, Merchant, AI/ML Applicants are expected to have a solid experience in handling Engineering related tasks