Sales Engineer | India

<h4>Why Cast AI?</h4> <p>Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.</p> <p>The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.</p> <p>Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.</p> <p><strong>Global team, diverse perspectives<br></strong>We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. </p> <p><strong>Unicorn momentum<br></strong>In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.</p> <p><strong>Join us as we build the future of autonomous infrastructure.</strong></p> <h4>About the role</h4> <p>Cast AI’s Sales Engineering team operates across four regions, demoing and proving out Kubernetes cost optimization and autoscaling in real customer environments. Two problems compound as we scale:<br><br>Our tooling lives on individual laptops. Demo environments, POC scaffolding, and provisioning scripts are bespoke, undocumented, and fragile. When they break, deals stall.<br>Releases reach customers before they have been stress-tested the way the field actually uses them. Internal QA validates against clean, controlled clusters. Customers run messy, multi-cloud, spot-heavy, oddly configured ones, and that is where things break, often during a live POC.<br><br>This person fixes both. They own the SE platform end to end, and they act as the field-representative quality gate: deliberately breaking releases the way real customer clusters break, before customers do, and feeding that signal back into product quality.<br>This role sits in Sales Engineering by design. SE has direct commercial accountability (a broken release kills a live deal) and sees deployment patterns internal QA never reproduces. That independence is the point.</p> <p><br>What success looks like:</p> <p>First 90 days: Audit the current SE tooling sprawl, pick the two highest-pain demo and POC f