Figma
Marketing Engineer
About this role
Figma seeks a Marketing Engineer to design and deploy AI-powered automation systems that streamline marketing workflows and drive revenue impact. This role focuses on building scalable, intelligent systems that transform manual marketing operations into efficient, data-driven processes measurable by agent adoption, time savings, and revenue attribution.
What you'll do
- Identify, prototype, and deploy high-impact AI use cases across marketing teams from conception to full production
- Build custom AI agents, automations, and integrations (APIs, MCP Servers) tailored to different marketing functions
- Maintain and evolve a GitHub-managed marketing AI knowledge base with prompts, skills, and agents as a versioned product
- Coach marketers through workflow transformation and enable self-sufficiency with AI tools
- Measure and iterate on AI workflows by defining success criteria, tracking adoption, and retiring underperforming systems
- Document workflows, playbooks, and patterns to scale knowledge across the organization
What they're looking for
- AI agent development and LLM workflow orchestration
- Gumloop, n8n, Workato, or similar agent platforms
- Prompt engineering and prompt library management
- Marketing automation and composable CDP tools
- SQL and data querying across Snowflake or BigQuery
- API integration and custom automation development
- Cross-functional enablement and change management
- Product-led growth and metrics-driven methodology
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Figma
Figma is a design platform that leverages AI and machine learning to power intelligent features like search, ranking, and generative capabilities. The company is hiring software engineers, ML engineers, and support specialists to build scalable infrastructure, AI-powered automations, and support systems that serve millions of users.
- Website
- figma.com
Likely interview questions
- Walk us through an AI agent or LLM workflow you've shipped to production. How did you measure adoption and impact, and what would you do differently?
- Describe your experience with agent orchestration platforms like Gumloop, n8n, or Workato. How have you enabled non-technical users to adopt and modify workflows you've built?