Experiential Marketing Lead, Global Experiences

Responsibilities

• Own and develop experiential marketing strategies for global events and activations, while delivering against key performance indicators with measurable results
• Lead and drive highly nuanced cross-functional projects, events and experiences
• Partner closely with production agencies, creative agencies and industry to bring strategic concepts to life
• Drive 360-degree experiential marketing strategies that align with Meta's priorities and goals
• Work with Decision Science team to define and report measurement metrics
• Manage marketing and experiential budget in close collaboration with finance and planning partners
• Lead long-range planning, identify new opportunities, select and manage partners, vendors, contractors and other resources to achieve business objectives while delivering on budget
• Position includes frequent travel, which can be up to 50%

Requirements

• 10+ years of marketing experience, with a focus on experiential marketing and events
• Demonstrated experience producing successful large-scale events and experiential activations
• Experience developing and producing innovative hybrid, multi-channel experiences
• Proven experience aligning and driving cross-functional teams against goals and objectives
• Direct experience managing business-to-consumer or business-to-business experiential programs
• Experience presenting to and influencing executive stakeholders and experience interfacing with all levels across communications and presentations
• Problem solving skills, strategic-thinker and demonstrated leadership skills

Preferred

• Experience in advertising, tech, marketing and media industry
• Network of agency, partner, and vendor relationships
• 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
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)