Marketing Engineer, AI Deployment

Responsibilities

• Identify and define high-impact AI use cases across marketing, from prototype to full deployment
• Coach and partner with marketers to achieve workflow transformation and self-sufficiency
• Build custom tools, agents, automations, and integrations (APIs, MCP Servers) for campaign ops, lifecycle, content production, intelligence reporting, etc.
• Own and evolve a GitHub-managed marketing AI cortex of prompts, skills, context files, and agents, treated like a product
• Recognize patterns and productize what works for reuse across the org
• Measure what works, define evaluation criteria, instrument AI workflows, and track adoption
• Document every workflow, tool, playbook, and transformation pattern
• Stay ahead of AI trends and share wins visibly

Requirements

• Demonstrated track record as an AI builder with shipped agents, LLM workflows, automations, or prompt systems in production
• Deep, hands-on expertise in Gumloop (preferred) or equivalent agent orchestration platforms (n8n, Workato, Zapier)
• Experience building and maintaining shared prompt libraries, skill catalogs, or AI-readable knowledge bases in version control (GitHub, etc.)
• Bias toward measurement and data-driven iteration
• 5+ years of experience building systems for go-to-market teams (Marketing Operations, Revenue Operations, Sales Operations, AI Transformation, Technology Transformation) — open to less time-in-seat if AI builder portfolio is strong

Nice-to-Have

• Experience with marketing automation and composable CDP tools (Customer.io, Hightouch, Census) with reverse ETL workflows
• Query data using SQL (Snowflake, BigQuery) and light scripting in Python/TypeScript
• Cross-functional enablement and training programs
• Product-led growth principles
• Engagement with Figma's product ecosystem and design/developer tooling