Marketing Operations Manager, AI Technologies

Meta Meta · Big Tech · Menlo Park, CA

This role focuses on transforming marketing operations by integrating AI agents and agentic workflows. The manager will deconstruct legacy processes, design human-to-agent interaction models, and lead the transition from manual execution to an AI-native architecture, optimizing campaign execution for efficiency and impact. While the role involves understanding and integrating AI technologies, its core function is in marketing operations and product management, not direct AI/ML model development.

What you'd actually do

  1. Deconstruct and map existing complex legacy marketing workflows and design streamlined, AI-native replacements
  2. Design the human-to-agent workflow and interaction model, defining where AI agents add value and where simple automation is more appropriate
  3. Establish the operating model for how full-stack marketers will manage a team of agents to execute campaigns, including designing the human-agent handoff interface to minimize friction
  4. Manage the transition timeline from manual execution to an agentic workflow, managing complex change management across cross-functional teams
  5. Establish baselines and a measurement framework to document current state metrics (time, cost, quality, error rate) before agents go live, ensuring the ROI of the transformation

Skills

Required

  • 8+ years of experience in process and operations management, digital marketing, technical marketing operations, or systems architecture
  • Proven track record of deconstructing highly complex, legacy operational processes and designing efficient, automated, or AI replacements
  • Experience leading large-scale change management initiatives across multiple cross-functional teams (e.g., marketing, engineering, data science)
  • Experience organizing complex procedures into straightforward, modular, and reusable workflows
  • Experience establishing operational baselines, measurement frameworks, and reporting on the ROI of process transformations and efficiencies
  • Evidenced success with cross-functional communication skills and translating technical concepts for non-technical stakeholders and vice versa
  • 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
  • Experience designing human-in-the-loop systems or human-agent interaction models in an operational context
  • Understanding of campaign execution standards, MarTech stacks, and digital marketing channels
  • Experience managing the transition of workflows from manual execution to automated or agentic systems

Nice to have

  • Familiarity with AI technologies, LLM integrations, and their application in enterprise marketing operations

What the JD emphasized

  • deconstructing complex legacy workflows
  • designing the operational blueprint for an AI workforce
  • transition from manual execution to an agentic workflow
  • managing complex change management
  • deconstructing highly complex, legacy operational processes
  • designing efficient, automated, or AI replacements
  • leading large-scale change management initiatives
  • integrate AI tools to optimize/redesign workflows
  • designing human-in-the-loop systems or human-agent interaction models
  • transition of workflows from manual execution to automated or agentic systems