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 $181M
from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has nearly 300 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:

PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience.

LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries.

DEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself, the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth, and mentor others to raise the collective bar.

EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction.

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Role overview

We are looking for a 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

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Requirements

• Previous experience in Technical PreSales and customer facing engagements
• 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
• Availability to travel and visit customers
• 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
• CKAD and/or CKA certification(s) is an immense advantage.

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What's in 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 CEO or CTO is a common practice here

• Flexible working hours. We deliver instead of sitting in the office 8 to 5

• Skin in the game. Every employee gets a share of the company

• 10% time to focus on self-improvement or personal projects.

Department

Sales

Role

Sales Engineer

Locations

Mexico

Remote status

Fully Remote

Employment type

Full-time

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