Salary
$100 - $100
Job Description
Job Overview
dbt Labs is seeking a Marketing Strategy & Planning Manager who will be responsible for driving core planning processes and shaping strategic initiatives that impact pipeline and revenue generation. The role requires a strategic and results-driven individual who thrives on solving complex problems with data and has a deep understanding of the B2B marketing funnel. This position involves working cross-functionally with various teams to build scalable systems and guide marketing performance.
Technical Requirements
Required Skills
- • marketing analytics
- • data analysis
- • storytelling
- • data visualization
- • cross-functional collaboration
Preferred Skills
- • LTV modeling
- • attribution methodologies
- • PLG metrics
- • Python
- • R
- • SAS
Experience Level
4–6+ years of experience in marketing analytics, marketing strategy, or business planning
Responsibilities
- • Drive quarterly and annual planning efforts including pipeline targets and campaign forecasting
- • Deliver actionable insights through rigorous data analysis to support marketing tactics
- • Evaluate campaign and program effectiveness through funnel performance and engagement metrics
- • Develop and enhance Tableau dashboards in partnership with the data team
- • Support investment decisions and ensure resource alignment with pipeline and revenue goals
- • Contribute to key GTM initiatives with data-driven recommendations
- • Transform raw data into executive-level presentations
Technical Environment
Tools & Technologies
Benefits & Perks
- • Unlimited vacation time
- • 401k plan with 3% guaranteed company contribution
- • Comprehensive healthcare coverage
- • Generous paid parental leave
- • Flexible stipends for Health & Wellness, Home Office Setup, Cell Phone & Internet, Learning & Development, Office Space
Additional Information
- Location
- US Remote
- Type
- Full-time
- Compensation
- $144,000 - $175,000 USD, with a different range for select locations
About dbt Labs
dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.
Company Size
unknown
Website
Categories
AI
Data Analytics
Data Engineering