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

DoorDash USA•Washington, DC

2d•$136,000 - $200,000

About The Position

DoorDash’s New Verticals team builds and scales ways to serve customers beyond restaurant delivery. Within New Verticals Strategy & Operations, the Central Operations team improves grocery, convenience, alcohol, and retail shopping by making stores’ digital shelves better reflect their physical shelves. The team onboards data sources to improve selection coverage, price and inventory accuracy, and location information that helps Dashers find stores and items. This work is intended to help customers find products at the right price, reduce substitutions and refunds, help Dashers shop and navigate faster, and support merchant sales. The Manager will own onboarding new 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 new uses for existing data and explore the potential for an inventory-as-a-service solution. The Manager will partner with Machine Learning, Engineering, Product, Data Science, and Commercial teams, sit within Central Operations, report to a Senior Manager, and manage a team of two. The role takes new data sources from ideation through production: evaluating opportunities, structuring partnerships, running pilots, and scaling successful sources across Convenience, Grocery, Alcohol, and Retail. It also involves developing roadmaps and commercial models, connecting real-world signals to improve the physical-digital inventory gap, defining business and commercial metrics, and making decisions about whether to scale, iterate, or stop initiatives. The national U.S. base salary range is $136,000–$200,000, with potential equity grants.

Requirements

6–8+ years of experience in a high-performing culture, such as technology, supply chain, operations, strategy, business development, consulting, banking, startups, or a related field.
Completed Bachelor’s degree.
Comfort with SQL and data visualization tools.
Ability to extract and communicate meaningful insights from data to inform strategic decisions.
Understanding of how selection, price, and inventory accuracy affect conversion, retention, and costs, and ability to assess whether a data source is worth its cost.
Ability to work through ambiguity and develop new opportunities and approaches.
Ability to build and negotiate relationships with external vendors, CPGs, and technology companies.
Comfort working with data quality details and store-level operations.

Nice To Haves

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

Responsibilities

Own onboarding external and internal data sources into DoorDash’s ecosystem.
Take data-source opportunities from ideation to production by sizing opportunities, structuring partnerships, running pilots, and scaling successful initiatives across Convenience, Grocery, Alcohol, and Retail.
Explore new commercial models, including inventory as a service, and turn opportunities into roadmaps.
Connect data from retailers, syndicated providers, CPGs, robotics companies, and software partners to improve selection coverage, price accuracy, inventory accuracy, and Dasher navigation.
Define commercial and business metrics to evaluate data sources and weigh their impact against their cost.
Make clear decisions about whether initiatives should be scaled, iterated, or stopped.
Partner with Machine Learning, Engineering, Product, Data Science, and Commercial teams to integrate data sources and drive measurable impact.
Manage a team of two.