Engineering Manager, Merchant, AI/ML

DoorDash US
San Francisco, Sunnyvale, Seattle, New York
Workplace: OnsiteFull timeUSD 193,800 - 285,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Leadership","Mentoring","Collaboration","Problem-solving"]

Lead and grow the Mx AI/ML engineering team to design, deploy, and scale production-grade AI solutions for the merchant ecosystem. Define a multi-year AI roadmap across onboarding, menu media understanding/generation, metadata intelligence, and agentic automation. Collaborate cross-functionally with product, design, operations, and data science to translate merchant pain points into scalable AI products and drive measurable impact.

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FursaFursa
DoorDash US
DoorDash US
8 months ago

Engineering Manager, Merchant, AI/ML

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead and grow the Mx AI/ML engineering team to design, deploy, and scale production-grade AI solutions for the merchant ecosystem. Define a multi-year AI roadmap across onboarding, menu media understanding/generation, metadata intelligence, and agentic automation. Collaborate cross-functionally with product, design, operations, and data science to translate merchant pain points into scalable AI products and drive measurable impact.
Location: San Francisco, Sunnyvale, Seattle, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead and grow a team of AI/ML engineers building 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.

Pay and Benefits

Salary: USD 193,800 - 285,000 annually
Equity and Bonus:Equity
Perks:401kHealth InsuranceDentalVisionDisabilityLife InsurancePaid LeaveCommuter Benefits

Key Requirements

  • •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.
Experience:AI/MLMachine learningMerchant ecosystem
Skills:CommunicationLeadershipMentoringCollaborationProblem-solving
Languages:English
Tech Stack:MultimodalLLMsGenerative AIMachine learning

Company Brief

DoorDash US
On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn