WHY CAST AI?

CAST AI is the leading Kubernetes cost optimization platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. What’s unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.
The company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has nearly 200 employees globally and is headquartered in Miami, Florida.
However, this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent, motivated, and self-reliant people to help us fulfill this ambitious mission.

REQUIREMENTS

• 3+ years experience as a Sales Engineer in cloud-native, Kubernetes, or infrastructure automation space
• Deep technical knowledge of Kubernetes architecture, control plane components, and operational patterns
• Hands-on experience with at least one major cloud platforms (AWS, GCP, Azure) and their managed Kubernetes services (EKS, GKE, AKS)
• Experience conducting technical discoveries and implementing cloud-native solutions in enterprise environments
• Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences
• Track record of building strong relationships with technical decision-makers and cloud architecture teams

ROLE OVERVIEW

As a Sales Engineer, you will be part of our fast-growing go-to-market organization. You will play a crucial role in expanding our business and ensuring our clients understand and utilize our technology to its full potential. Through your technical expertise and client engagement, you will drive product adoption, strengthen customer relationships, and accelerate business growth.

RESPONSIBILITIES:

• Lead technical discovery sessions to assess clients’ Kubernetes infrastructure, cloud architecture, and cost optimization opportunities
• Deliver compelling technical demonstrations of platform capabilities focusing on Kubernetes orchestration and cloud automation features
• Design and execute structured proof of values (PoV) to validate cost savings and operational improvements in client environments
• Partner with sales teams to articulate technical value propositions around container orchestration, cloud resource management, and automated scaling
• Conduct deep-dive technical workshops on Kubernetes cluster optimization, cloud cost analysis, and automated cloud resource management
• Provide expert guidance on Kubernetes best practices and multi-cloud architecture optimization
• Analyze clients’ Kubernetes metrics, cloud billing data, and performance indicators to quantify potential cost savings and efficiency gains
• Collaborate with product teams to gather market feedback and influence product roadmap based on customer technical requirements
• Present at technical conferences and webinars on topics related to Kubernetes optimization, cloud cost management, and automation