Senior Lifecycle Marketing Strategist, Retention

DoorDash, Inc.; New York (NY); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

wellness benefits

commuter benefits match

paid time off and paid sick leave

medical, dental, and vision benefits

11 paid holidays

disability and basic life insurance

Job summary

DoorDash in New York is seeking a Senior Associate on the Dasher Retention Marketing team to own CRM strategy across the Dasher lifecycle—from onboarding to re-engagement—and to build end-to-end campaigns in email, push, in-app messaging, and SMS.

You will define retention workstreams, manage segmentation and QA, partner with Product, Engineering, Data Science, and Marketing, and analyze results to improve engagement, while expanding AI-enabled experimentation.

Qualifications

• 4+ years of experience in CRM, email, or lifecycle marketing.
• Bachelor's degree or equivalent experience in a related field.
• Experience owning end-to-end lifecycle or retention strategy and execution.

Responsibilities

• Own end-to-end campaign strategy, development, and build across email, push, in-app, and SMS.
• Design and build campaigns with an emphasis on experimentation and audience segmentation.
• Partner cross-functionally with Product, Engineering, Data Science, and Marketing teams.
• Analyze campaign performance and iterate retention strategies based on data.

Skills

CRM marketing

Lifecycle marketing

Data analysis

Cross-functional collaboration

A/B testing

Education

Bachelor's degree or equivalent experience

Tools

Braze

Iterable

Salesforce Marketing Cloud

Customer.io

Job description

DoorDash in New York is seeking a Senior Associate on the Dasher Retention Marketing team to own CRM strategy across the Dasher lifecycle—from onboarding to re-engagement—and to build end-to-end campaigns in email, push, in-app messaging, and SMS.

You will define retention workstreams, manage segmentation and QA, partner with Product, Engineering, Data Science, and Marketing, and analyze results to improve engagement, while expanding AI-enabled experimentation.