Marketing Engineer - AI Deployment

4w1 month ago

Figma

San Francisco, US · Full-time · $127,000 – $296,000

About this role

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. 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 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. The ideal candidate is an expert in building interconnected data layers optimized for AI and translating complex business challenges into scalable, automated technical workflows.

Success in this role is measured in three ways: agents live—the count of AI systems 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. You will coach and partner with marketers to take them from novice to full workflow transformation and self-sufficiency.

This is a full time role that can be held from one of our US hubs or remotely in the United States. You will 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 across the organization.

Requirements

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 to track adoption, impact, and effectiveness
Ability to translate complex business challenges into scalable, automated technical workflows that directly drive revenue and operational efficiency
Experience building interconnected data layers optimized for AI and driving AI adoption across a team or organization

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, treating 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 by defining evaluation criteria, instrumenting AI workflows, and tracking 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

Benefits

Remote or hybrid work from anywhere in the United States
Opportunity to shape the future of design and collaboration at a mission-driven company
Work at the intersection of operations, data, and marketing with cutting-edge AI tools
Autonomy to build and ship AI systems that directly impact revenue and efficiency