Marketing Engineer
Figma · United States · 2 wk ago
RemoteRemoteMarketing$127k–$296k/yrFull-time
What You'll Do at Figma
- 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
- Owning and evolving 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
Qualifications
- A demonstrated track record as an AI builder—agents, LLM workflows, automations, or prompt systems you've shipped into production and seen real users adopt. We care more about what you've built than how many years you've spent in any one function
- Deep, hands-on expertise in Gumloop (preferred) or equivalent agent orchestration platforms such as n8n, Workato, or Zapier—including authoring shared workflow templates that non-technical users can adopt and modify on their own
- Experience building and maintaining shared prompt libraries, skill catalogs, or AI-readable knowledge bases—bonus if you've managed them in version control (GitHub, etc.) with proper documentation and evals
- A bias toward measurement—you instinctively instrument what you build, define what “good” looks like, and iterate based on signal rather than vibes
- 5+ years of experience building systems for go-to-market teams—Marketing Operations, Revenue Operations, Sales Operations, AI Transformation, or Technology Transformation. We're open to less time-in-seat if your AI builder portfolio is strong