Scaled Business Growth

Meta Meta · Big Tech · Menlo Park, CA +2

This role focuses on driving business growth for Meta's products through data-driven marketing strategies. While it heavily leverages AI tools for various marketing functions like audience research, personalization, and content development, the core responsibility is marketing strategy and execution, not the direct building or research of AI models themselves. The role involves analyzing data, designing programs, leading experiments, and working with cross-functional teams to achieve business outcomes. The emphasis on AI is on its application as a tool to enhance marketing efforts and drive efficiency/impact.

What you'd actually do

  1. Lead marketing growth strategy across a large area and drive cross-team alignment.
  2. Identify and size marketing opportunities to drive material business impact.
  3. Design comprehensive, multi-channel marketing programs that accelerate outcomes across the funnel with a variety of audiences.
  4. Execute on projects by working closely with Product, Sales, Data Science, and other partners.
  5. Lead experimentation from designing tests to analyzing results that drive business impact.

Skills

Required

  • SQL
  • Data extraction
  • Data querying
  • Data interpretation
  • Growth marketing
  • Digital marketing
  • Marketing strategy
  • Product growth
  • Management consulting
  • Quantitative analysis
  • Experiment design
  • Results interpretation
  • KPI establishment
  • Measurement frameworks
  • Attribution models
  • Audience understanding
  • Customer research
  • Market insight
  • Full-funnel marketing strategies
  • Stakeholder influence
  • Cross-functional team collaboration
  • Data visualization tools (e.g., Tableau, Python)
  • Executive-level dashboard design
  • Responsible AI practices
  • Prompt engineering
  • Context engineering

Nice to have

  • Meta's products and platform capabilities
  • Similar technologies
  • Statistical analysis
  • Predictive analytics
  • Machine learning applications in marketing
  • Agent orchestration

What the JD emphasized

  • 4+ years of experience in growth marketing, digital marketing, marketing strategy, product growth, management consulting, or related field
  • 4+ years of work experience in analytics - data extraction, querying, & interpretation with languages such as SQL including leveraging AI tooling
  • 4+ years of experience developing and executing strategies to drive Marketing impact across multiple channels, combining quantitative analysis with qualitative customer insight to optimize performance and scale successful programs
  • Experience developing & leveraging audience understanding via quantitative methods (segmentation, behavioral analysis) and qualitative methods (customer research, market insight), and translating findings into full-funnel marketing strategies
  • Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets
  • Experience designing & executing experiments, interpreting results, and translating findings into decisions
  • Experience establishing KPIs, measurement frameworks, and attribution models, including incrementality and mixed media approaches, that connect marketing activities to business outcomes
  • Proficiency in leveraging AI tools to accelerate business outcomes (e.g., audience research, personalization, content development, marketing optimization, etc.)
  • Experience distilling complex data into compelling narratives and influence stakeholders at all levels of the organization
  • Experience working with and influencing cross-functional teams including Product, Sales, Analytics, etc
  • Experience working on marketing programs that reach a wide range of business customers
  • Familiarity with advanced analytics including statistical analysis, predictive analytics, or machine learning applications in marketing
  • Experience with data visualization tools (e.g., Tableau, Python, etc.) and ability to design executive-level dashboards that communicate complex insights to diverse audiences
  • Demonstrated use of AI tools to accelerate core marketing capabilities
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies