Marketing Technology Manager, AI

Meta empowers millions of businesses to connect with customers and drive real business outcomes. The Business Marketing Technology team builds and scales the platforms and data infrastructure that power marketing operations across Meta's business ecosystem, sitting at the intersection of marketing strategy, data platforms, and AI innovation. As business marketing shifts toward an AI-first, agent-led operating model, we are seeking a Marketing Technology Manager to help design and develop the foundational infrastructure that will power this next era. This role is central to the shift from manual marketing workflows to agentic marketing at scale, ensuring that the data layer, evaluation frameworks, and platform architecture are ready to support autonomous AI agents that can plan, execute, and optimize marketing campaigns. The ideal candidate brings expertise in marketing technology platforms, AI model evaluation, and data strategy, and is energized by the opportunity to lay the groundwork for a future where marketers and AI agents work side by side to drive business impact.

• 5+ years of experience in marketing technology, marketing operations, or a related technical marketing discipline
• Bachelor's degree in Marketing, Business, Information Systems, or a related field
• Experience developing agentic workflows, AI-powered automation, or marketing AI agents in a production environment
• Knowledge of LLMs, AI model evaluation, and building data foundations for AI-powered marketing tools or agentic capabilities
• Experience developing and executing data strategies, including data governance, enrichment, sharing, and compliance frameworks
• Experience managing marketing technology platforms and ensuring platform reliability, performance, and scalability
• Analytical and data-driven decision-making experience, translating complex data and AI challenges into actionable strategies
• Experience building cross-functional relationships and managing stakeholders across Marketing, Engineering, Product, and Sales teams
• Communication experience and demonstrated experience presenting technical concepts to both technical and non-technical audiences
• Experience with Salesforce Data Cloud and/or Salesforce Marketing Cloud
• 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