Responsibilities

• Develop and execute audience marketing strategies and programs for North America Agency partners, including holding companies, independent agencies, and media planning and buying groups. These programs will include key industry and/or Meta tentpoles, one or more of which you will lead the strategy and execution for
• Collaborate with product marketing to translate Meta's advertising and enterprise capabilities into compelling narratives and value propositions, tailored to agency decision-makers and media planners
• Align cross-functional stakeholders across sales, marketing, and product on North America agency audience priorities, communicating progress and tradeoffs to leadership
• Represent North America agency marketing strategies and performance results to leadership through structured quarterly reviews and strategic briefings
• Synthesize performance insights and market intelligence to continuously refine audience strategies and optimize campaign effectiveness across direct and scaled marketing channels
• Analyze agency audience data, sales feedback, and market trends to identify growth opportunities and inform go-to-market priorities across Meta's platforms
• Build audience segmentation frameworks that enable personalized, scaled marketing outreach across channels relevant to the North America agency ecosystem
• Define measurable marketing goals aligned to agency pipeline and revenue objectives, partner with data science and marketing insights teams to establish learning agendas and measurement plans
• Identify and implement AI-integrated workflows to accelerate audience research, content development, and campaign analysis across the agency marketing function

Preferred

• Experience in leading tentpole programs, including working with cross-functional teams
• Experience working directly with or within a North America advertising agency, holding company, or media buying organization
• 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