In-Store AI Operations Lead

DoorDash USA; Tempe (AZ); Hybrid; USD 105,000 - 155,000; Full time

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Wellness benefits

Commuter benefits match

Paid time off

Job summary

DoorDash USA is seeking an Associate Manager to build and scale the in-store AI platform within the New Verticals Strategy & Operations team. You will turn in-store data from thousands of locations into better experiences for merchants, Dashers, and partners, driving measurable improvements in inventory accuracy and selection.

You’ll collaborate with Product, Engineering, Data Science, and Operations to translate strategy into tangible, scalable solutions, owning quarterly and annual plans and

Qualifications

• 4–6+ years of experience in tech, operations, strategy, consulting, or startups.
• Bachelor’s Degree in finance, economics, CS, engineering (MBA a plus).
• Strong SQL and data visualization skills.
• Experience solving complex problems and driving cross-functional impact.

Responsibilities

• Analyze data to drive business decisions and improve key metrics.
• Lead cross-functional projects with Engineers, Data Scientists, and Product Managers to implement scalable AI-enabled solutions.
• Strategize and deliver improvements in selection and inventory metrics across New Verticals.
• Build and drive initiatives from strategy through launch and iteration.

Skills

SQL

Data analysis

Cross-functional collaboration

Analytics

AI tooling awareness

Education

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

Tools

Claude

Cursor

Gemini

Copilot

Job description

DoorDash USA is seeking an Associate Manager to build and scale the in-store AI platform within the New Verticals Strategy & Operations team. You will turn in-store data from thousands of locations into better experiences for merchants, Dashers, and partners, driving measurable improvements in inventory accuracy and selection.

You’ll collaborate with Product, Engineering, Data Science, and Operations to translate strategy into tangible, scalable solutions, owning quarterly and annual plans and