Marketing Technology Manager

Meta•San Francisco, CA

7d•$124,000 - $178,000

About The Position

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.

Requirements

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

Nice To Haves

Experience with Salesforce Data Cloud and/or Salesforce Marketing Cloud

Responsibilities

Design and implement AI evaluation frameworks, including model performance benchmarking, prompt evaluation, and quality assurance processes to ensure AI agents and LLM-driven outputs meet production-quality standards
Drive the integration of LLMs and AI agents into marketing technology workflows, partnering with engineering and data science teams to move agentic capabilities from prototype to production-ready infrastructure
Partner with engineering teams to design and build data foundations required to power agentic marketing capabilities, including high-quality data pipelines, knowledge bases, and golden datasets that AI agents depend on for reliable execution
Ensure platform reliability, stability, and performance, creating a stable foundation on which agentic systems can operate at scale
Support change management efforts to support the organization's transformation to agentic marketing, engaging stakeholders across teams to build understanding, drive adoption, and ensure smooth transitions as AI agents take on greater operational responsibility
Partner cross-functionally with Marketing, Engineering, Data Science, Product, and Sales teams to scale platforms, integrate cross-org data sources, and build the shared infrastructure needed to enable a self-service, agent-led marketing future