Global Growth Marketer: Data-Driven, AI-Enabled

Meta

New York (NY)

On-site

USD 134,000 - 189,000

Full time

14 days+

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Job summary

Meta's Scaled Business Growth Marketing team seeks a Scaled Business Growth Marketer to design data-driven programs that help businesses adopt and maximize Meta's products. You will partner with Product, Sales, Data Science and other teams to uncover opportunities, remove friction, and scale high-impact solutions for millions of customers worldwide.

You will analyze market trends, build scalable marketing strategies, run experiments, and operationalize what works to drive sustained impact across

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5+ years in growth/digital marketing or related fields.
  • 4+ years in analytics with SQL and AI tooling.
  • Experience driving multi-channel marketing programs and scaling impact.

Responsibilities

  • Lead marketing growth strategy across a large area and drive cross-team alignment.
  • Identify and size marketing opportunities to drive material business impact.
  • Design multi-channel marketing programs that accelerate outcomes across the funnel.
  • Collaborate with Product, Sales, Data Science and other partners on projects.
  • Lead experiments from design to analyzed results and inform decisions.
  • Leverage AI and analytics to accelerate business impact.

Skills

Growth marketing
Data analysis
SQL
Cross-functional collaboration
Experiment design
AI tooling
KPIs & attribution
Audience segmentation
Storytelling with data

Education

Bachelor's degree

Tools

Tableau
Python

Job description

Meta's Scaled Business Growth Marketing team seeks a Scaled Business Growth Marketer to design data-driven programs that help businesses adopt and maximize Meta's products. You will partner with Product, Sales, Data Science and other teams to uncover opportunities, remove friction, and scale high-impact solutions for millions of customers worldwide.

You will analyze market trends, build scalable marketing strategies, run experiments, and operationalize what works to drive sustained impact across

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