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You'll own the operational engine behind DoorDash's ground truth AI platform — responsible for building and scaling the technology that collects in-store data across tens of thousands of physical store locations and translating that data into measurable improvements in inventory accuracy, Dasher pick time, and customer selection. This means everything from designing the systems that capture real-time shelf data, to defining how that data flows into downstream product experiences for customers, Dashers, and merchant partners. You'll lead high-impact initiatives from concept to execution — defining strategy, building roadmaps, partnering cross-functionally across product, engineering, and ML, and using data to continuously optimize outcomes. This is a highly visible role with direct impact on customer experience, operational efficiency, and business growth. Success requires strong ownership, comfort with ambiguity, and the ability to translate complex, multi-stakeholder tradeoffs into clear decisions and action. This role will directly manage a team and report into a Director on our Strategy & Operations team.
Job Responsibility
Own the operational engine behind DoorDash's ground truth AI platform
Build and scale technology that collects in-store data across tens of thousands of physical store locations
Translate data into measurable improvements in inventory accuracy, Dasher pick time, and customer selection
Design systems that capture real-time shelf data
Define how that data flows into downstream product experiences
Lead high-impact initiatives from concept to execution
Define strategy, build roadmaps, partner cross-functionally across product, engineering, and ML
Use data to continuously optimize outcomes
Directly manage a team
Requirements
8+ years of experience
2+ years of experience managing high-performing teams
BS/BA Degree, ideally a business or engineering focused concentration
Analytical skills, comfortable pulling data in SQL or modeling in Excel
Technical, with experience owning metrics with complex, multi-input attribution
Comfort partnering with ML and engineering on technical tradeoffs
Prior experience in marketplace ops, fulfillment, or data-intensive platform environments a plus
MBA is a plus
Nice to have
Prior experience in marketplace ops, fulfillment, or data-intensive platform environments