DoorDash Senior Associate on DoorDash for Business Strategy & Operations team responsible for growing and running the Self-Serve Meal Manager product. Analyze funnel performance, engage customers, and improve product reliability.
Responsibilities
As a Senior Associate on the DoorDash for Business Strategy & Operations team, you will help grow and run Self-Serve Meal Manager, our free, self-serve product that automates recurring meals for teams and offices. Because the product is self-serve, growth is product-led: customers find us, sign up, set up a calendar, and decide whether to stay without a sales rep in the loop. Your job is to make every stage of that funnel work better.
Acquire: Bring new teams in at the top of the funnel, both on the DoorDash platform (merchandising, in-app placements, lifecycle messaging) and off platform (paid, email, and organic channels).
Activate: Turn sign-ups into first orders through strong onboarding, and find and fix where customers drop off.
Retain: Keep teams ordering through a reliable, high-quality product experience, and catch the issues that cause churn before customers leave.
This is a role for someone versatile who will wear many hats: analyst, growth operator, customer-facing problem solver, and product partner. You will be expected to find a problem in the data, work out why it is happening, and drive the fix yourself. The role is built to grow. As the product scales, so will your scope and ownership.
You’re excited about this opportunity because you will...
Own the funnel: Analyze the self-serve funnel end to end, from visitor to sign-up to activation to repeat ordering. Find where customers drop off and run experiments on acquisition channels, onboarding, selection, and promotions to lift conversion and retention.
Go deep on the data: Write SQL daily to size problems, segment customers, measure lift, and tell a real result from noise. Build the dashboards and automated checks that let a small team support a growing customer base.
Work directly with customers: Email customers, resolve issues, and run proactive outreach to teams that are stuck, at risk, or churned. Hear first-hand why people stay and why they leave.
Turn issues into patterns: Translate individual customer problems into trends, then flag them to product and engineering with a clear call on severity: urgent and big, or real but minor, backed by the metric impact.
Improve reliability: Root cause order defects such as late deliveries, point of sale issues, and failed drop-offs. Work with merchants, Dashers, and support partners on fixes and track the impact on quality metrics.
Use AI to scale: Build AI-assisted workflows that flag at-risk customers, orders, and merchants, and replace slow manual analysis and one-off fixes with repeatable processes the team can maintain.
