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You will be updated with latest job alerts via emailCAST 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. Whats 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 selfreliant 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 longterm 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 DevelopmentRepresentative at CAST AI youll be on the front lines of pipeline generation. Your daily mission is to uncover highvalue opportunities and create meaningful first conversations with technical and business buyers. Heres 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 decisionmakers 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 highquality 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 AIs 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 fastpaced 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 Detailoriented in managing pipeline logging activities and following up.
Competitive & Resilient Tenacious attitude with the grit to handle rejection and stay goaloriented.
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 daytoday task and hit your daily/weekly KPIs
Based in the Dallas/FortWorth area or willing to relocate.
Niceto have requirements:
Experience Selling to DevOps/Engineering Personas
Familiarity with Cloud Platforms (AWS GCP Azure)
Past Work in EarlyStage SaaS or Startups
Basic understanding of Kubernetes or containerized infrastructure
Full Time