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

As a Security Engineer you will identify and drive impactful projects to improve the security of Figma’s product, platform, and IT systems. We are hiring for multiple teams within Security Engineering: AI Security, Platform Security, Product Security, and Anti-Abuse. This is a remote first role. 

You will partner closely with teams across the company and focus on systemic security improvements and risk reduction. You will also participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response.

Examples of what you may work on across teams:

AI Security

• Perform technical security assessments, code audits, and design reviews for new AI infrastructure, platforms, and products.
• Design and develop technical solutions to secure AI models, tooling, debugging workflows, and data pipelines.
• Advocate for secure practices across Figma’s AI infrastructure, platforms, and data systems.
• Build the next generation of internal AI-powered access insights and security tooling.
• Help run penetration testing and offensive security exercises against Figma’s AI infrastructure, platforms, and products.

Platform Security

• Perform technical security assessments, code audits, and design reviews for changes to Figma’s cloud and corporate infrastructure.
• Design and develop solutions to prevent or mitigate cloud and corporate security risks.
• Advocate for secure practices within Figma’s cloud and corporate infrastructure.
• Build platforms and tooling to detect and respond to infrastructure and corporate security threats.

Product Security

• Perform technical security assessments, code audits, and design reviews for new product features.
• Design and develop solutions to prevent or mitigate product security vulnerabilities.
• Advocate for secure development practices across Figma’s products and services.
• Help run penetration testing, offensive security exercises, and support our bug bounty program.
• Help respond to product security incidents.

Anti-Abuse

• Design and build technical systems to prevent spam, fraud, and abuse.
• Partner closely with product teams to identify and address potential abuse vectors.
• Develop new signals and improve the use of existing signals to detect abusive behavior.
• Help respond to spam, fraud, and abuse incidents.

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

We’d love to hear from you if you have:

• 5+ years of proven engineering experience working in either a Security Engineering or a Software Engineering role. In the case of the latter, some security experience is preferred.
• Strong security judgment in threat modeling and risk prioritization and/or strong technical judgment in designing and building maintainable, scalable systems.
• Proficiency in at least one general-purpose coding language.
• Strong communication and interpersonal skills, with demonstrated experience collaborating across functions.

While not required, it’s an added plus if you also have:

• Subject matter expertise in Application Security, Cloud Security, Corporate Security, Data Access Governance, and/or IAM (Identity and Access Management).
• Demonstrated ability to make hard prioritization decisions in security controls.

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 skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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