Marketing Operations Manager, AI Technologies

Meta•Menlo Park, CA

1d•$152,000 - $213,000

About The Position

The Business Marketing Group connects businesses with their customers on Facebook, Instagram, WhatsApp, and Messenger to help them grow their businesses through solutions like pages, advertising, messaging, and more. We succeed when we help our customers grow their business leveraging our solutions. The Global Marketing Channels team is responsible for producing and scaling digital campaigns through marketing channels including web, email, in-product messaging, SEM/SEO, display, chat, and Meta ads to provide value for our customers and enable business impact. We are seeking a Marketing Operations Manager, AI Technologies to transform our marketing operations from a manual, human-based paradigm to an AI-native architecture. Sitting at the intersection of business-as-usual execution and AI evolution, this role is responsible for deconstructing complex legacy workflows and designing the operational blueprint for an AI workforce. The Marketing Operations Manager, AI Technologies will lead the transition from manual execution to agentic speed, defining how multiple workflows collapse into a single full-stack operator managing a team of AI agents.

Requirements

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

Nice To Haves

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

Responsibilities

Deconstruct and map existing complex legacy marketing workflows and design streamlined, AI-native replacements
Design the human-to-agent workflow and interaction model, defining where AI agents add value and where simple automation is more appropriate
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
Manage the transition timeline from manual execution to an agentic workflow, managing complex change management across cross-functional teams
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
Determine the OpEx transition schedule and continuously optimize the workflow to increase efficiencies
Partner closely with engineering, data science, and marketing teams to bridge the gap between marketing needs and technical execution
Lead team training to prepare marketers with adequate expectations and skills to leverage the new AI agents