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 already raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has more than 120 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.

Core values that hold us all together:

DEVELOP AND HIRE THE BEST: Be curious and improve continuously to foster personal development and professional growth.

LEAD: Take ownership, never kick the can, and drive things forward in a full-power mode. The company is in your hands.

EXPECT AND ADVOCATE CHANGE: Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect.

PRACTICE CUSTOMER OBSESSION: The customer always, always, always comes first. Solve the customer's problem, be open to feedback, act on it, and the rest will follow.
Role overview

We are looking for a Senior Sales Engineer to join our growing sales organization. In this role, you will be responsible for engaging with customers at all life cycle phases, starting with demos and proof of concept work, and finishing when the customer is happily onboarded and successfully using the platform. You will be asked to develop tooling to aid our customers better, provide feedback on product usability and relay customer needs to product management.

Collaborate with current and potential customers on all engineering aspects.
Create tooling and scripts to demonstrate products to customers.
Develop a deep understanding of customer use cases for Kubernetes.
Operate and maintain ownership of multiple Kubernetes environments for different customer use cases.
Collaborate with customers to solve any onboarding or operational issues. alongside the development team.

Requirements

Strong Kubernetes administration and operations skills, specifically around pod scheduling and placement.
Expertise in at least one of the 3 major public clouds (AWS, GCP, Azure).
Excellent verbal and written communication skills.
Working knowledge of Terraform.
Strong analytical, problem-solving, and troubleshooting skills.
Fluency in one or more scripting languages (Python, Bash, Powershell, etc).
Ability to work independently or with a group.
Past customer-facing engineering experience.
A "yes we can" attitude.

Nice to have

Kubernetes Developer or Administrator certifications.
Writing Helm charts or Kubernetes deployments.
Experience writing Golang/Java/C++.
Experience with observability stacks (Prometheus, Grafana, Elastic Search, Loki, or others).
Working knowledge of REST APIs.

What is it for you?

Team of highly skilled professionals to work with and learn from.
Impact and visibility. Our organization is flat, getting in touch with the CEO or CTO is a common practice here.
Short feedback loop. We have an obsession with customer satisfaction. We ship features fast and get instant feedback. Feature projects tend to be completed in 1 to 4 weeks, depending on the scope.
Flexible working location and hours. We deliver instead of sitting in the office from 8 to 5.
Company-funded certifications and training for certain job-related skills (CKAD, Terraform, etc).
Skin in the game. Every employee gets a share of the company.

Department Sales Locations San Francisco Remote status Fully Remote Employment type Full-time

CAST AI

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