Technical Program Manager, Data Engineering & AI
DoorDash · New York City, NY | Chicago, IL · 537 Enterprise Strategy and Operations
About this role
DoorDash is hiring a manager-level Engineering Manager in the software engineering function based in New York City, NY | Chicago, IL. The posting calls out experience with Python, SQL, API Development, ETL. Compensation is listed at $136,000–$200,000 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- New York City, NY | Chicago, IL
- Department
- 537 Enterprise Strategy and Operations
More roles at DoorDash
Job description
from DoorDash careers
About the Team
The Enterprise Insights & Analytics team partners closely with the Enterprise Account Management & Business Development organization to drive strategic, analytical, and operational impact across DoorDash’s largest partnerships. The team focuses on building scalable insights, tools, and automation that improve sales efficiency and enable better decision-making across Enterprise teams.
As part of this mission, the team leads cross-functional initiatives that combine analytics, AI, and automation to address complex operational challenges. This includes developing scalable reporting infrastructure, designing workflow automation, and partnering with Product, Engineering, and Sales leadership to reimagine how insights and tools support the Enterprise organization.
About the Role
We’re seeking a Technical Program Manager to lead AI-enabled automation initiatives that improve efficiency across our Enterprise Sales organization.
You will report into the Director of Enterprise Insights & Analytics on our Insights & Analytics team within the Enterprise organization. This role will focus on identifying high-impact workflow opportunities, developing automation solutions, and scaling tools that reduce manual work across Enterprise teams. You will work closely with Account Management, Strategy & Operations, Product, Engineering, and Data teams to translate business needs into technical builds and ensure successful adoption.
This is a cross-functional role for someone with strong technical fluency, program leadership experience, and the ability to translate ambiguous problems into scalable solutions.