
201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
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201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
• Run fast, well-scoped proofs of concept from initial architecture conversation through signed evaluation • Install the harness, connect the gateway, migrate existing agent workflows, and prove value using customer repositories and success criteria • Present and explain model routing, context management, and differences between coding agents to staff engineers and platform leads • Measure Kimchi against incumbent tools on accuracy, cost per run, and developer experience • Lead enterprise security, data residency, and network architecture reviews • Diagnose and resolve integration issues live during customer engagements • Feed insights from live proofs of concept back to product engineering • Enable account executives and the wider sales engineering organization to identify and qualify Kimchi opportunities • Represent Kimchi at conferences and meetups across EMEA • Translate Kimchi’s technical and business value for CTOs, VPs of Engineering, platform leaders, and senior developers • Support landing and expanding Kimchi, Cast AI’s enterprise AI coding platform, within large engineering organizations
• Proven Sales Engineer, Solutions Architect, or Field Engineer experience in developer tools, AI/ML infrastructure, or cloud platforms • Hands-on fluency with AI coding agents such as Claude Code, Cursor, Codex, Copilot, or similar • Working knowledge of LLM serving and integration, including OpenAI-compatible APIs, inference gateways and routers, context windows, tool calling, MCP, and token economics • Comfortable in a terminal and customer codebases • Fluent in at least one scripting language • Able to debug a broken configuration live on a call • Track record converting technical evaluations into signed business, including enterprise security and architecture reviews • Based in EMEA with the right to work in the country of residence • Willing to travel across EMEA • Experience benchmarking models and agents is nice to have • Kubernetes or cloud infrastructure knowledge is nice to have • Public technical profile through talks, writing, or open source is nice to have • Additional European languages are nice to have • Cast AI does not provide visa sponsorship or work permits
• Competitive salary (depending on the level of experience) • Flexible, remote-first global environment • Equity options • 10% of work time for personal projects or self-improvement • Learning budget for professional and personal development, including international conferences and courses • Annual hackathon • Team-building budget and company events • Equipment budget • Extra days off • Background check conducted through Checkr as part of the final recruitment stage
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