Marketing Operations Architect (AI & Automation)
CloudflareHybridPosted 7 April 2026
Job Description
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX
About the role
We are scaling our global marketing engine by moving from manual production to AI-native operations. This role acts as the technical bridge between our global AI strategy and Campaign Ops execution. You will build workflows that automate the campaign production lifecycle—from intake to Marketo deployment—turning a high-volume ticket queue into an automated, agent-led production environment.
What you'll do
Design and deploy autonomous agents using Cloudflare Workers and Gemini to automate routine campaign tasks like production, QA, and lead routing
Partner with the AI Project Manager to turn conceptual roadmaps into functional, "human-in-the-loop" tools that increase team throughput
Spend a portion of your time embedded in the MOPs campaign queue to identify repetitive friction points and design the automation to eliminate them
Act as a technical liaison to IT and Engineering teams; you will diagnose root causes for Marketo and data flow issues and provide architectural requirements for central teams to execute
Build the logic for API-based automation that streamlines how campaign data move from intake forms into Marketo program templates
Manage data pipelines and hygiene scripts to ensure GTM data is structured and ready for predictive AI modeling
Qualifications
8+ years in Marketing Operations or RevOps, specifically in high-growth B2B SaaS environments
Deep functional expertise in Marketo (Adobe Certified Expert - Adobe Marketo Engage Business Practitioner required) and Salesforce CRM (Objects and API structures) to effectively collaborate with central admins
Hands-on experience building or operationalizing LLM-based solutions (Gemini) within marketing workflows
Strong technical skills in TypeScript/JavaScript (for Cloudflare) and Python (for data and AI integration)
Proficiency in SQL and Tableau to interpret data and build requirements for reporting infrastructure
A clear ability to translate operational pain points into technical requirements for cross-functional partners
A "Builder" mindset—you view repetitive manual tasks as bugs that should be solved with code.
Nice to Have
Adobe Certified Master – Adobe Marketo Engage Architect or Salesforce Certified Architect
Experience with edge computing or middleware platforms like Cloudflare, Workato, or Zapier
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
C ... (truncated, view full listing at source)
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