Associate Manager, In-Store AI & Retail Ops

DoorDash, Inc.; San Francisco (CA); Hybrid; USD 105,000 - 155,000; Full time

Benefits offered by this job

401(k) with employer matching

Paid parental leave

Wellness benefits

Commuter benefits

Paid time off

Job summary

DoorDash, Inc. is seeking an Associate Manager to build and scale the in-store AI platform for New Verticals.

You will convert in-store data from thousands of locations into better experiences for merchants, Dashers, and partners, driving measurable improvements in inventory accuracy and customer pick times. You will work at the intersection of retail and tech, partnering with Product, Engineering, Data Science, and Operations.

Qualifications

• 4–6+ years of experience in tech, operations, strategy, consulting, or related fields.
• Bachelor’s Degree in finance, economics, CS, engineering, or related field; MBA is a plus.

Responsibilities

• Scale the operational engine behind DoorDash’s in-store AI platform.
• Turn in-store data from tens of thousands of locations into better experiences for merchants, Dashers, and partners.
• Collaborate with Product, Engineering, Data Science, and Operations to translate challenges into scalable solutions.
• Own and deliver on improving key selection metrics and quarterly/annual strategic plans.
• Drive initiatives from strategy through launch and iteration, including AI-powered predictions.

Skills

Data analysis

SQL

Leadership

Cross-functional collaboration

Strategic thinking

AI tooling

Education

Bachelor’s Degree in finance, economics, computer science, engineering, or related field

MBA (plus)

Tools

Data visualization tools

AI tools (Claude, Cursor, Gemini, Copilot)

Job description

DoorDash, Inc. is seeking an Associate Manager to build and scale the in-store AI platform for New Verticals.

You will convert in-store data from thousands of locations into better experiences for merchants, Dashers, and partners, driving measurable improvements in inventory accuracy and customer pick times. You will work at the intersection of retail and tech, partnering with Product, Engineering, Data Science, and Operations.