Marketing Engineer, AI Deployment

Figma Figma · Enterprise · United States · Marketing

Figma is seeking a Marketing Engineer, AI Deployment to design and build programmatic go-to-market systems and AI-powered workflows. This role focuses on turning strategy into scalable, automated systems, driving AI adoption, and building infrastructure and intelligence layers for marketing. Success is measured by AI agents shipped, hours saved, and revenue driven.

What you'd actually do

  1. Identify and define high-impact AI use cases across marketing, taking them from prototype to full deployment
  2. Coach and partner with marketers to take them from novice to full workflow transformation and self-sufficiency
  3. 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
  4. 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
  5. Recognize patterns across your cohort and systematically productize what works—tools built for one marketer should become reusable for peers, then the broader org

Skills

Required

  • AI builder
  • agents
  • LLM workflows
  • automations
  • prompt systems
  • production deployment
  • user adoption
  • agent orchestration platforms
  • n8n
  • Workato
  • Zapier
  • shared workflow templates
  • shared prompt libraries
  • skill catalogs
  • AI-readable knowledge bases
  • measurement
  • instrumentation
  • evaluation criteria
  • systems for go-to-market teams
  • Marketing Operations
  • Revenue Operations
  • Sales Operations
  • AI Transformation
  • Technology Transformation

Nice to have

  • Gumloop
  • version control
  • GitHub
  • documentation
  • evals
  • marketing automation
  • composable CDP tools
  • Customer.io
  • Hightouch
  • Census
  • reverse ETL workflows
  • SQL
  • Snowflake
  • BigQuery
  • Python
  • TypeScript
  • cross-functional enablement
  • training
  • change-management programs
  • product-led growth principles
  • Figma's product ecosystem
  • design and developer tooling landscape

What the JD emphasized

  • agents live
  • hours saved
  • revenue driven
  • AI builder
  • shipped into production
  • real users adopt
  • AI orchestration platforms
  • instrument AI workflows
  • track adoption

Other signals

  • AI agents
  • LLM workflows
  • automation
  • go-to-market systems