Engineering Manager, Merchant, Ai/ml

DoorDash DoorDash · Consumer · San Francisco, CA · 341 Executive Engineering

Engineering Manager for the Merchant AI/ML team at DoorDash, leading a team to build and deploy AI/ML solutions for the merchant lifecycle. The role involves defining strategy, partnering with product teams, and owning the end-to-end ML system lifecycle, with a focus on generative AI, multimodal learning, and agentic automation to improve merchant success.

What you'd actually do

  1. Lead and grow a team of exceptional AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem.
  2. 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.
  3. Partner with product and operations to translate merchant pain points into scalable AI-powered solutions.
  4. Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement.
  5. Drive innovation in multimodal AI, LLM-driven assistants, and GenAI content creation.

Skills

Required

  • 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
  • Broad knowledge of machine learning
  • Technical depth in one or more areas: computer vision, natural language processing, generative models, or large-scale agent systems
  • Strong communication skills
  • Ability to partner effectively with cross-functional stakeholders
  • Demonstrated ability to define clear roadmaps and execution plans
  • Experience at the intersection of product and engineering

Nice to have

  • Mentoring and developing engineers
  • Cultivating an inclusive, high-impact culture
  • Passion for building teams

What the JD emphasized

  • production-grade AI solutions
  • shipped AI-powered products that have reached millions of users
  • agentic automation
  • multimodal AI
  • LLM-driven assistants
  • GenAI content creation

Other signals

  • production-grade AI solutions
  • customer-obsessed and impact-driven
  • turning cutting-edge research into products
  • massive scale
  • shipped AI-powered products that have reached millions of users