Senior Lifecycle Marketer, Dasher Retention

DoorDash, Inc.; United States; Remote; USD 83,000 - 122,000; Full time

Benefits offered by this job

401(k) with employer matching

16 weeks paid parental leave

Wellness benefits

Commuter benefits match

Paid time off & paid sick leave

Medical, dental, and vision benefits

11 paid holidays

Disability and basic life insurance

Family‑forming assistance

Mental health program

Job summary

DoorDash, Inc. is seeking a strategic lifecycle marketer to own CRM strategy for Dashers, building end‑to‑end retention campaigns across email, push, in‑app messaging, and SMS. You’ll manage segmentation, QA, and post‑campaign analysis, partnering with Product, Data Science, and Marketing to drive engagement and loyalty.

The role emphasizes experimentation, cross‑functional collaboration, and leveraging AI tools to speed up experimentation and impact.

Qualifications

• 4+ years of experience in CRM, email, or lifecycle marketing.
• Experience with ESPs and marketing automation platforms (Braze, Iterable, SFMC, Customer.io).
• Ownership of end-to-end lifecycle or retention strategy and execution.

Responsibilities

• Own end-to-end campaign strategy, development, and build across channels (email, push, in‑app, SMS).
• Design and build campaigns with segmentation, QA, launch, and post‑campaign analysis.
• Collaborate cross‑functionally with Product, Engineering, Data Science, Marketing, and Strategy teams.
• Analyze performance and iterate to improve retention strategy.

Education

Bachelor's degree or equivalent experience

Tools

Braze

Iterable

Salesforce Marketing Cloud

Customer.io

SQL

Job description

DoorDash, Inc. is seeking a strategic lifecycle marketer to own CRM strategy for Dashers, building end‑to‑end retention campaigns across email, push, in‑app messaging, and SMS. You’ll manage segmentation, QA, and post‑campaign analysis, partnering with Product, Data Science, and Marketing to drive engagement and loyalty.

The role emphasizes experimentation, cross‑functional collaboration, and leveraging AI tools to speed up experimentation and impact.