Associate Manager, B2B Audience Analyst
DoorDash · San Francisco, CA | New York City, NY | Los Angeles, CA | Remote (United States) · 412 Growth Marketing
About this role
DoorDash is hiring a junior-level Product Manager as a remote position. The posting calls out experience with SQL, ETL, Performance Optimization, A/B Testing. Compensation is listed at $108,800–$160,000 per year.
- Role
- Product Manager
- Function
- product
- Level
- junior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY | Los Angeles, CA | Remote (United States)
- Work mode
- Remote
- Department
- 412 Growth Marketing
More roles at DoorDash
Job description
from DoorDash careers
About the Team
The mission of our B2B Retention Marketing team is to build lasting relationships with our merchants as soon as they engage with DoorDash by providing them with a personalized, cross-channel experience that delights them and drives them to return to DoorDash to find the products and services that are relevant to them. Within the broader B2B Retention Marketing team, the B2B Audience Analyst role blends data analytics with strategy to create value for our merchants by helping unlock growth, improve operational efficiency, and increase experimentation velocity.
About the Role
As the B2B Audience Analyst, you will build and scale data-driven lifecycle strategies that accelerate merchant and DDFB acquisition, engagement, and retention. You will own the analytical and technical foundation of retention programs, leveraging SQL, forecasting, and experimentation to improve targeting, measurement, and automation. You will partner cross-functionally with Analytics, BI, Engineering, and Marketing to design experiments, develop scalable audience and data systems, and drive continuous optimization through rigorous performance analysis.
You’re excited about this opportunity because you will…
- Identify merchant trends and surface opportunities to intervene across the lifecycle to drive retention and growth
- Build and scale standardized audience segments using SQL to enable repeatable, high-impact lifecycle strategies