Senior Manager, New Verticals - In Store Intelligence Strategy & Operations

DoorDash USA•New York, NY

2d•$170,000 - $250,000•Hybrid

About The Position

This role will own the operational engine behind DoorDash's ground truth AI platform. The platform is 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 involves designing systems for real-time shelf data capture and defining data flow into downstream product experiences for customers, Dashers, and merchant partners. The role will lead high-impact initiatives from concept to execution, defining strategy, building roadmaps, partnering cross-functionally with product, engineering, and ML teams, and using data to 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. The role will directly manage a team and report into a Director on the Strategy & Operations team. The team operates in a hybrid model, and the role is based in New York, with the majority of the team located there. Time is spent working together in-office and remotely.

Requirements

Solve problems from first principles, resisting 'this is how it's always been done' thinking.
Comfort operating at both high-level strategy and detailed operational levels.
Unafraid of ambiguity; thrive in ambiguous, startup environments.
Analytical; comfortable pulling own data in SQL or modeling in Excel.
Technical experience: owning metrics with complex, multi-input attribution; comfort partnering with ML and engineering on technical tradeoffs.
8+ years of experience in high-performance cultures (tech, operations, strategy, consulting, banking, or related).
2+ years of experience managing high-performing teams.
BS/BA Degree, ideally with a business or engineering focused concentration.

Nice To Haves

Prior experience in marketplace ops, fulfillment, or data-intensive platform environments.
MBA is a plus.

Responsibilities

Own the operational engine behind DoorDash's ground truth AI platform.
Build and scale the technology that collects in-store data across tens of thousands of physical store locations.
Translate in-store data into measurable improvements in inventory accuracy, Dasher pick time, and customer selection.
Design systems that capture real-time shelf data.
Define how data flows into downstream product experiences for customers, Dashers, and merchant partners.
Lead high-impact initiatives from concept to execution.
Define strategy and build roadmaps.
Partner cross-functionally across product, engineering, and ML.
Use data to continuously optimize outcomes.
Manage a team.
Build DoorDash's next big business, from high-level strategy to nitty-gritty operational details.
Develop the optimal strategy for best serving customers from first principles.
Assess the operational and financial impacts of decisions and iterate based on data.
Work with a cross-functional team, including product, engineering, ML, design, and operations.
Lead a pod to build this new line of business for DoorDash.
Take a nascent platform to the majority of DoorDash's non-restaurant GMV, managing the complexity of thousands of stores, multiple data sources, and a multi-modal ML stack.
Shape what gets built and how it scales across the organization for the ground truth platform, which powers inventory accuracy, customer selection, Dasher pick time, catalog, and pricing.
Operate at the intersection of computer vision, in-store logistics, artificial intelligence and marketplace health.