Technical Program Manager, AI & Automation
DoorDashNew York, NY; Chicago, ILPosted 18 March 2026
Job Description
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.
You’re excited about this opportunity because you will…
Lead AI Automation Programs: Identify manual workflows and deploy AI-enabled solutions that improve Enterprise sales efficiency.
Translate Business Needs into Technical Solutions: Partner with stakeholders to map workflows and translate requirements into scalable automation and data solutions.
Own Initiatives End-to-End: Lead programs from discovery through pilot and scale, coordinating cross-functional execution and measuring operational impact.
Collaborate Across Product, Engineering, and Data: Work with technical teams to integrate automation, analytics, and AI capabilities into Enterprise workflows.
Drive Enablement Adoption: Embed solutions into day-to-day workflows through enablement, training, and structured pilots.
We’re excited about you because…
You have 6+ years of experience in technical program management, analytics, strategy, consulting, or a similar role.
You are proficient in SQL and Python and understand data foundations including pipelines, ETL processes, and system dependencies.
You are technically fluent working with APIs, automation platforms, or internal tooling.
You have experience deploying AI-enabled tools, automation workflows, or internal data products.
You are a strong cross-functional collaborator who can align technical and non-technical stakeholders and communicate complex ideas clearly.
Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.
In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision ... (truncated, view full listing at source)
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