Merchant Strategy & Ops Senior Associate — Data-Driven Growth

DoorDash; Denver (CO); On-site; USD 87,000 - 128,000; Full time

Job summary

DoorDash's Merchant Strategy & Operations team is seeking a Senior Associate to own the strategy and execution of how we serve merchants on the platform. You will lead the support experience from onboarding to live merchants, turning support into a scalable, tech-first experience that drives satisfaction, retention, and growth.

You will collaborate cross-functionally with product, operations, marketing, finance and analytics, using data and AI-driven approaches to improve processes, reduce

Qualifications

• Bachelor's degree or higher required.
• 2–3 years of experience in consulting, strategy, operations, banking, technology, or related field; startup experience a plus.
• Experience leading cross-functional initiatives and delivering ambitious goals.
• Bias toward action, proactive in identifying opportunities and solutions.
• Curiosity and willingness to learn and adapt, especially with AI tools.

Responsibilities

• Lead the support experience for merchants, owning strategy and execution on the DoorDash platform.
• Transform support into a tech-first, scalable, and seamless experience that drives merchant satisfaction, retention and loyalty.
• Collaborate cross-functionally with product, operations, marketing, sales, finance and analytics to land key initiatives.

Skills

Cross-functional collaboration

Analytical thinking

Data-driven decision making

Owner / self-starter

Problem solving

AI tooling familiarity

SQL

Excel modeling

Education

Bachelor's degree or higher

Tools

SQL

Excel

Job description

DoorDash's Merchant Strategy & Operations team is seeking a Senior Associate to own the strategy and execution of how we serve merchants on the platform. You will lead the support experience from onboarding to live merchants, turning support into a scalable, tech-first experience that drives satisfaction, retention, and growth.

You will collaborate cross-functionally with product, operations, marketing, finance and analytics, using data and AI-driven approaches to improve processes, reduce