Marketing Engineer

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Marketing Engineer, AI Deployment will design and build programmatic go-to-market systems and AI-powered workflows that improve efficiency, impact, and execution across Marketing. This role sits at the intersection of operations, data, and marketing with a focus on turning strategy & manual work into scalable, automated systems. This is not a traditional operations role. It is a systems-focused role dedicated to building the infrastructure, workflows, and intelligence layers that power a modern, product-informed revenue and efficiency engine across marketing. The ideal candidate is an expert in building interconnected data layers optimized for AI, driving AI adoption, and translating complex business challenges into scalable, automated technical workflows that directly drive revenue and operational efficiency. Success in this role is measured in three ways: agents live—the count of AI systems you've shipped into real, recurring use by marketers; hours saved—manual work returned to the org and reinvested in higher-leverage problems; and revenue driven—pipeline, conversion lift, or deal velocity directly attributable to what you've built. Everything else flows from those three numbers. This is a full time role that can be held from one of our US hubs or remotely in the United States. 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 - 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 We’d love to hear from you if you have: - 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 While it’s not required, it’s an added plus if you also have: - Operate marketing automation and composable CDP tools (e.g. Customer.io, Hightouch, Census) with reverse ETL workflows - Query data using SQL across warehouses like Snowflake or BigQuery, with light scripting in Python or TypeScript for integration prototyping - Lead cross-functional enablement, training, and change-management programs that translate stakeholder needs into structured AI workflows - Apply product-led growth principles to shape product-informed marketing motions and campaign strategies - Engage with Figma's product ecosystem and the broader design and developer tooling landscape At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their s

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. 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.

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.