Principal, GTM Automation, RevOps.

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, San Francisco Principal, GTM Automation, RevOps What We're Looking For: We're hiring a Principal for GTM Automation to document processes, build the AI agents and automation, and design improvements for our Revenue organization (Sales, Marketing, Customer Success, Partner, RevOps). This is a senior individual contributor role where you will build and maintain the automation needed to drive efficiency and reduce operational friction. The hard part of this job is knowing where not to put an agent. You'll decide which parts of prospecting, account research, deal management, and renewals can be handed to AI systems, where a person has to stay involved, and how we confirm the output is right before a seller acts on it. You will work directly with Sales leadership, Revenue Operations, Enablement, and the data and engineering teams on tools that save sellers real time. Success is identified by creating systems that resolve mundane tasks and save people real time. We are looking for someone who has run agentic systems in production for a business team and can tell us what broke and what they changed. Location: Remote, Austin or San Francisco What You'll Get To Do In This Role: • Design and build agentic workflows for repetitive revenue work such as account creation and enrichment, CRM updates, renewals, QBR prep, deal registration, account ownership, etc. Add RBAC, observability, error handling, etc. to make the systems as robust as possible. • Decide where AI and automation fit in the go-to-market motion, and where human judgment is still required. • Set the quality bar for agents in production: evals that run before every release, monitoring tied to pipeline and revenue, clear rules for sensitive data, and a tested rollback. • Own the architecture that connects agents to Salesforce, the data warehouse, enrichment and intent sources, and call data, so the next workflow reuses what the last one built. • Build the signal layer that feeds account prioritization, routing, and next-best-action. Product usage, intent, firmographic changes, and call transcripts all go in. • Review code and designs from stakeholders (analysts, Revenue Operations partners, etc.). Where version control, tests, or code review are missing, help put them in place. • Work with Sales, Marketing, and Customer Success leaders to find the work worth automating, and say no to the work that isn't. Measure adoption and business impact for everything that ships. Retire tools that the organization isn’t using. • Track new models, agent frameworks, and vendor tools, and decide what's worth adopting. • Document each system and who own