Media Strategy Manager, Reality Labs, Wearables + Metaverse

Meta Meta · Big Tech · Menlo Park, CA +1

This role is for a Media Strategy Manager focused on planning and executing media campaigns for Meta's Reality Labs products (Wearables & Metaverse). While the role involves integrating AI/ML technologies into media strategies, planning, targeting, optimization, and measurement, its core function is media strategy and campaign execution, not the direct development or research of AI models themselves. The role emphasizes data-driven approaches, cross-functional collaboration, and driving business impact through innovative media strategies, including the responsible use of AI tools.

What you'd actually do

  1. Serve as primary media point of contact and single-threaded owner of integrated media strategy, channel planning and campaign execution across Meta’s owned and off-platform channels
  2. Develop data-informed media strategies grounded in objectives, audience, channel, and marketplace insights, to drive innovation and business outcomes
  3. Provide thought leadership and strategic analysis to shape go-to-market approaches
  4. Define clear media strategy briefs, including campaign parameters, audience and channel strategies, testing and learning agendas
  5. Leverage analytics, measurement models, and programmatic buying to develop, execute, and optimize media strategies

Skills

Required

  • media planning
  • large-scale consumer campaigns
  • paid media
  • media measurement and analytics
  • audience insights
  • digital / social platforms
  • marketplace trends
  • thought leadership
  • cross-functional collaboration
  • flawless execution
  • data-first approach
  • analytics
  • programmatic platforms
  • targeting
  • execution
  • measurement
  • optimization
  • Meta-certified in digital planning skills (Meta Blueprint)
  • influencing cross-functional teams
  • drive alignment
  • trends impacting media, measurement and analytics
  • identifying optimization and audience opportunities through data and research
  • managing media agency resources
  • translate data into actionable recommendations and optimizations
  • communication
  • organization
  • project management
  • deadline-sensitive, ambiguous environments
  • partnering closely with creative teams
  • collaborating with data science/analytics teams
  • shaping measurement plans
  • learning agendas
  • advanced testing frameworks (e.g., A/B testing)
  • programmatic media buys
  • audience segmentation
  • in-flight optimization
  • driving media innovation and efficiency by integrating emerging AI and machine learning technologies
  • integrating AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • AI skill development
  • prompt/context engineering
  • agent orchestration
  • staying current with emerging AI technologies

Nice to have

  • AI/ML integration across media lifecycle
  • AI tool integration for workflow optimization
  • Responsible AI practices
  • AI skill development (prompt engineering, agent orchestration)

What the JD emphasized

  • 10+ years of experience in media planning or managing large-scale consumer campaigns
  • Demonstrated experience with driving media innovation and efficiency by integrating emerging AI and machine learning technologies across the media lifecycle, including planning, targeting, optimization, and measurement
  • 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