Responsibilities

• Identify and define high-impact AI use cases across marketing, taking them from prototype to full deployment
• Coach and partner with marketers to take them from novice to full workflow transformation and self-sufficiency
• Build custom tools, agents, automations, and integrations (APIs, MCP Servers) tailored to each operator's responsibilities—campaign ops, lifecycle, content production, intelligence reporting, and beyond
• Own and evolve a GitHub-managed marketing AI cortex of prompts, skills, context files, and agents. Treat it like a product: versioned, documented, and continuously improved
• Recognize patterns across your cohort and systematically productize what works—tools built for one marketer should become reusable for peers, then the broader org
• Measure what works. Define evaluation criteria, instrument AI workflows, and track adoption to identify which agents, prompts, and skills drive impact—and retire the ones that don't
• Document every workflow, tool, playbook, and transformation pattern so knowledge scales beyond any one person
• Stay ahead of AI trends in Generative AI, LLMs, and agentic systems—and share wins visibly with your cohort and leadership to build momentum and inspire adoption