At Kumo, we're not just building another AI platform—we're fundamentally reinventing how enterprises extract value from their massive data investments. While companies pour millions into data lakehouses, the traditional ML approach has failed them with its painfully slow iterations, complex feature engineering, and disappointing results.
Our breakthrough? A revolutionary platform that harnesses the power of Graph Neural Networks through our elegant Predictive Query Language, allowing data scientists to unlock insights 12x faster with superior accuracy than conventional methods. We're on the front lines of AI, solving some of its most challenging and impactful problems, and we've already delivered over $500M+ in tangible value to industry giants like Reddit, DoorDash, and Databricks.
Your Mission
As an Infrastructure Engineer at Kumo, you'll architect the foundation that makes this AI revolution possible. You'll design and build scalable distributed systems that seamlessly bridge data warehouses with cutting-edge AI workflows, creating a platform that's both incredibly powerful and surprisingly simple to use.
Working alongside engineering leaders from top tech companies and researchers from Stanford, you'll solve complex technical challenges that few engineers get to tackle: building infrastructure that elegantly handles massive-scale data, complex AI training, and reliable inference—all while maintaining enterprise-grade security and performance. If you thrive in a fast-paced environment, are driven by ambitious goals, and crave an opportunity for massive impact, this is your chance to shape the future of AI.
