Manager, New Verticals - In-Store Data Platform Strategy & Operations

DoorDash•San Francisco, NY

About The Position

DoorDash’s New Verticals team is building and scaling ways to serve customers beyond restaurant delivery. Within New Verticals Strategy & Operations, Central Operations works to make each store’s digital shelf match its physical shelf by onboarding data sources that improve selection coverage, price accuracy, inventory accuracy, and location information. These improvements help customers find desired products at accurate prices, reduce substitutions and refunds, help Dashers shop and navigate faster, and help merchants sell more. The Manager will own onboarding external and internal data sources into DoorDash’s ecosystem. External sources include inventory and syndicated data providers, CPG-branded data, in-store robotics companies, and other software and technology partners. The role will also identify ways to use existing internal data and explore how these assets could support an inventory-as-a-service offering. The Manager will take opportunities from ideation through production by sizing them, structuring partnerships, running pilots, and scaling successful initiatives across Convenience, Grocery, Alcohol, and Retail. This role partners with Machine Learning, Engineering, Product, Data Science, and Commercial teams to integrate data sources, develop AI-enabled tooling and operational processes, own metrics, and drive measurable impact. The Manager is part of Central Operations within New Verticals Strategy & Operations, reports to a Senior Manager, and manages a team of two.

Requirements

6–8+ years of experience in a high-performing environment such as technology, supply chain, operations, strategy, business development, consulting, banking, startups, or a related field.
Completed bachelor’s degree.
Ability to analyze and communicate insights from data to drive strategic decisions.
Comfort with SQL and data visualization tools.
Ability to understand how selection, price, and inventory accuracy affect conversion, retention, and cost, and assess whether a data source justifies its cost.
Comfort working with data quality and store-level operations.
Ability to build and negotiate relationships with external vendors, CPGs, and technology companies.
Ability to work with ambiguity, develop new opportunities, and collaborate across technical and commercial teams.

Nice To Haves

MBA.
Experience with data partnerships, vendor management, or retail data.

Responsibilities

Own onboarding of new external and internal data sources into DoorDash’s ecosystem.
Identify, size, and develop opportunities for data sources, including inventory and syndicated data providers, CPG-branded data, robotics companies, and software and technology partners.
Structure partnerships, run pilots, and scale successful initiatives across Convenience, Grocery, Alcohol, and Retail.
Develop roadmaps for new data sources and commercial models, including inventory as a service.
Connect real-world data signals with digital inventory to improve selection coverage, price accuracy, inventory accuracy, and Dasher navigation.
Define commercial and business metrics to assess data-source performance and weigh impact against cost to make decisions to scale, iterate, or stop.
Partner with Machine Learning, Engineering, Product, Data Science, and Commercial teams to integrate data sources and drive measurable impact.
Build and manage relationships with external vendors, CPGs, and technology companies.
Manage a team of two.