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.
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.
As a Business Development Representative at CAST AI, you’ll be on the front lines of pipeline generation. Your daily mission is to uncover high-value opportunities and create meaningful first conversations with technical and business buyers. Here's what that looks like:
Prospect and research target accounts using tools like LinkedIn, Clay, Apollo, and more
Craft personalized outbound outreach (email, calls, LinkedIn) to engage decision-makers across engineering, DevOps, and cloud teams
Collaborate with AEs to align on territory plans, account lists, and ideal customer profiles (ICPs)
Run discovery calls to qualify interest, uncover pain points, and set up high-quality meetings
Maintain pipeline hygiene in the CRM, tracking activity and outcomes for reporting and feedback
Experiment with messaging, subject lines, cadences, and value props, learning what works and doubling down
Participate in enablement sessions to stay sharp on CAST AI’s value, use cases, and competitive landscape
Stay in the loop with marketing plays and product updates to align your outreach with current campaigns
Coachability & Growth Mindset | Actively seeks feedback, learns fast, and thrives in a fast-paced, evolving environment.
Technical Curiosity | Interest in cloud, Kubernetes, and AI tools; can grasp complex technical products quickly.
Strong Written & Verbal Communication | Ability to clearly articulate value propositions and tailor messaging to multiple personas.
Outbound Prospecting Experience | Demonstrated success in cold outbound, with understanding of account research and personalized outreach.
Data Discipline & CRM Hygiene | Detail-oriented in managing pipeline, logging activities, and following up.
Competitive & Resilient | Tenacious attitude with the grit to handle rejection and stay goal-oriented.
Process Obsessed | Create and own your process for pipeline generation, with the ability to speak on your book of business
Time Management | Manage your time effectively to complete your day-to-day task and hit your daily/weekly KPIs
Based in the Dallas/Fort-Worth area or willing to relocate.
Nice-to have requirements:
Experience Selling to DevOps/Engineering Personas
Familiarity with Cloud Platforms (AWS, GCP, Azure)
Past Work in Early-Stage SaaS or Startups
Basic understanding of Kubernetes or containerized infrastructure
