Senior Engineering Manager, AI Gateway

About the role

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 | Hybrid

Responsibilities

• In This Role, You Will
• Set the technical and product direction for AI Gateway alongside engineers and PMs, then roll up your sleeves and help build it.
• Build the software and the software that builds the software. Your team needs to build the context and toolchain that let agents help build, operate, monitor, and improve AI Gateway itself.
• Inspire and energize a team shipping at the pace the AI ecosystem demands. Provider APIs change weekly, new models drop daily, and the gap between "good idea" and "in production" is measured in days, not quarters.
• Obsess over developer experience. Every error message, SDK choice, dashboard flow, and line of docs matters. You should have strong taste about what makes developer tools feel great.
• Recruit, mentor, and grow engineers. Build a small team that punches massively above its weight.
• Partner closely with Workers AI, Agents, and the broader Developer Platform teams to deliver a unified inference layer that feels like one product
• Examples Of Desirable Skills, Knowledge And Experience
• A minimum of 8 years of relevant industry experience, including at least 4 years managing software engineering teams.
• Proven track record leading teams that have shipped and operated complex, large-scale systems, preferably in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, or high-scale APIs.
• Significant technical depth, with the ability to guide architectural discussions, make credible technical decisions, review designs, and unblock your team.
• Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, and internal platforms to know what makes them delightful or painful.
• Demonstrated ability to hire, coach, and develop senior engineers, and to build high-performing, inclusive teams that ship. You care about teams and team culture.
• A hands-on approach to leadership: you consider yourself a builder, stay close to the code, know the numbers, know the customer, and know what to build next.
• Bonus Points
• Experience building AI/ML infrastructure, inference platforms, model gateways, or LLM-powered applications.
• Experience building developer-facing APIs or SDKs at scale.
• Hands-on experience with proxy, edge, or gateway systems.
• You've built or heavily customized your own agentic dev environment: custom agents, harnesses, or tooling that changed how you ship.
• Familiarity with the current AI ecosystem: providers, model capabilities, agent frameworks, and where the rough edges are.
• A track record of writing publicly about developer tools or systems you've built.
• You've built something with AI Gateway, Workers AI, or a competing

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