CAST AI. Scaling Cloud Optimization Teams with Speed and Precision
CAST AI provides an application performance automation platform that continuously analyzes Kubernetes clusters and optimizes them using advanced machine learning. The product reduces cloud costs, improves performance and helps engineering teams scale without unnecessary complexity. To support a rapidly growing customer base, CAST AI needed strong technical support, operations and commercial talent across several regions. These roles required deep technical knowledge, excellent communication and the ability to work with complex infrastructure environments. We joined as an embedded hiring partner and built a structured recruitment engine that included scorecard calibration, targeted sourcing, weekly hiring operations and full ownership of the hiring process. The engagement resulted in 12 successful hires and a 74 percent reduction in time to hire.
Client:
CAST AI
Industry:
Cloud & SaaS
Country:
Miami, Florida, United States
Service:
Recruitment Process Outsourcing (RPO)
Background
CAST AI works with companies running Kubernetes clusters and provides continuous optimization powered by machine learning. The company needed to hire Regional Account Executives, Technical Account Managers, Technical Support Engineers and Operations Specialists. These profiles require a rare combination of technical depth, problem solving skills and customer orientation.Competition for cloud and Kubernetes talent is high, and candidates frequently juggle multiple offers. CAST AI needed a hiring engine that would bring structure, clarity and speed to the process without sacrificing quality.
Challenges
The hiring environment for cloud and Kubernetes specialists is highly competitive. CAST AI needed to fill several roles in parallel and maintain consistent evaluation across distributed teams. Decision making was spread across regions which required clear alignment and unified scorecards.
Scarcity of cloud and Kubernetes focused specialists
Parallel openings across operations, support and commercial tracks
Competing offers in a fast moving cloud optimization market
Distributed decision making across regions
Importance of consistent scorecards for technical assessments
Solution
We designed a structured hiring process that matched the pace and technical demands of CAST AI. The engagement began with role calibration and alignment on success criteria. Our team created sourcing playbooks tailored to Kubernetes support talent and cloud optimization profiles.We coordinated weekly hiring operations and ensured fast communication between decision makers. The structured interviews based on calibrated scorecards created clarity and reduced variance in technical assessment.Throughout the engagement we owned sourcing, screening, interviews, offer management and onboarding coordination which enabled a predictable and fast hiring cycle.
Role specific sourcing strategies for cloud and support talent
Structured interviews based on calibrated scorecards
Weekly hiring operations with transparent communication
Offer management with compensation benchmarking
Onboarding guidance for new hires
Results
The collaboration enabled CAST AI to scale technical and customer facing teams with speed and confidence. The structured hiring process improved first round pass rates and produced a reliable flow of high quality candidates.In total our team delivered 12 hires across technical support, account management, operations and commercial functions. These hires strengthened the company’s ability to support clients, optimize workloads and expand global operations.
74% faster time to hire
12 hires across technical and commercial tracks
Improved first round pass rates after scorecard alignment
Clearer hiring signals across distributed teams
Faster decisions and improved pipeline depth
Stronger support and operations capacity across regions
Throughout the engagement we executed targeted sourcing, built calibrated scorecards, maintained weekly hiring operations and provided offer management support. These steps created a smooth and predictable hiring process that helped CAST AI move quickly without compromising quality.The roles we filled supported both technical and customer facing functions which improved client satisfaction, drove better adoption of the platform and strengthened the company’s operational foundation.
Performance Optimization Marketing Manager enhancing product visibility
Operations Specialist improving internal workflows and cross team efficiency
Technical Support Engineer providing expert assistance for Kubernetes optimization
Technical Account Manager supporting long term customer success
Performance Optimization Marketing Manager enhancing product visibility
In summary, this engagement shows how a calibrated hiring engine can accelerate growth in a cloud optimization company. Through targeted sourcing, structured interviews and weekly hiring operations, we helped CAST AI hire 12 specialists with a 74 percent faster time to hire.The improved hiring foundation supported customer success, enhanced operational capacity and strengthened the technical capabilities of the team across regions.
"The OnHires team helped us hire across technical and customer facing roles with impressive speed and consistency. Their structured process brought clarity and delivered strong outcomes."
Chief Executive Officer
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