Associate Manager, In-Store AI Platform Strategy & Ops

Aimlroles

New York (NY)

Hybrid

USD 105,000 - 155,000

Full time

6 days ago
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Benefits offered by this job

401(k) with employer matching
Parental leave (16 weeks)
Wellness benefits
Commuter benefits match
Paid time off
Medical, dental, and vision benefits

Job summary

DoorDash is seeking an Associate Manager to scale the in-store AI platform, turning store data into improved experiences for merchants, Dashers, and partners. You will work across Product, Engineering, Data Science, and Operations, shaping solutions from strategy to launch.

You will own initiatives to improve selection metrics and drive measurable impact across Grocery, Convenience, Alcohol and Retail verticals. Expect ownership, ambiguity, and visible outcomes in a hybrid work model.

Qualifications

  • Bachelor’s degree or higher required; MBA a plus.
  • 4–6+ years of experience in tech, operations, strategy, consulting, or related field.
  • Strong SQL and data-analysis skills; ability to drive decisions from data.
  • Ability to lead cross‑functional projects with product, Eng, DS, and ops.

Responsibilities

  • Analyze data to drive business decisions and improve metrics.
  • Lead cross‑functional projects with Engineers, DS, and PMs.
  • Develop and execute strategies to improve selection metrics.
  • Build and drive strategic initiatives across AI-powered features.

Skills

SQL
Data analysis
Leadership
Strategic thinking
AI literacy
Cross-functional collaboration

Education

Bachelor’s Degree
MBA

Tools

Data visualization tools

Job description

DoorDash is seeking an Associate Manager to scale the in-store AI platform, turning store data into improved experiences for merchants, Dashers, and partners. You will work across Product, Engineering, Data Science, and Operations, shaping solutions from strategy to launch.

You will own initiatives to improve selection metrics and drive measurable impact across Grocery, Convenience, Alcohol and Retail verticals. Expect ownership, ambiguity, and visible outcomes in a hybrid work model.

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