Engineering Manager - Vectorize

Cloudflare
HybridPosted 27 February 2026

Job Description

<div class="content-intro"><div><strong>About Us</strong></div> <div> <p>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. </p> <p><span style="font-weight: 400;">We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! </span></p> </div></div><p><strong>Available Locations: Lisbon or London (Hybrid)</strong></p> <h3><strong>About the Team</strong></h3> <p>The Cloudflare Vectorize team builds our managed, global vector database designed to power the next generation of AI-driven applications. Vectorize enables developers to store and query high-dimensional vector embeddings, providing the "long-term memory" required for Large Language Models (LLMs) and semantic search. Integrated directly into the Cloudflare Workers and Workers AI ecosystem, Vectorize allows developers to build full-stack AI applications—from generating embeddings to performing similarity searches—entirely on Cloudflare’s global network.</p> <p>Vectorize is a critical component of our Developer Platform and features:</p> <ul> <li><strong>High-Performance Vector Search:</strong> Optimized for low-latency similarity search using Approximate Nearest Neighbor (ANN) algorithms (like HNSW).</li> <li><strong>Metadata Filtering:</strong> Support for storing and filtering on metadata alongside vectors to provide precise, context-aware query results.</li> <li><strong>Global Distribution:</strong> Built on top of Cloudflare’s distributed infrastructure to ensure that AI applications remain fast and responsive regardless of where the user is located.</li> </ul> <p>The team is geographically located in the UK.</p> <h3><strong>What you'll do</strong></h3> <p>We are looking for an Engineering Manager to join the Vectorize team. You will lead a group of engineers who are defining how stateful AI applications are built at the edge. You will play a pivotal role in scaling Vectorize to support billions of vectors and hundreds of thousands of indexes while maintaining the performance and reliability Cloudflare is known for.</p> <p>You will work closely with product and engineering teams to implement cutting-edge indexing strategies and improve the developer experience for RAG (Retrieval Augmented Generation) workflows. You bring a passion for making complex AI infrastructure accessible to every developer. You thrive in a fast-paced environment where you are building the foundations of the AI era. Most importantly, you have a track record of leading technical teams with a focus on high-quality execution and engineer career development.</p> <h3><strong>Examples of desirable skills, knowledge and experience</strong></h3> <ul> <li><strong>Strong communication skills</strong> – Ability to build a shared understanding of complex topics like vector quantization, indexing trade-offs, and distributed state.</li> <li><strong>Leading Distributed Systems</strong> – Experience leading and hiri ... (truncated, view full listing at source)