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Own the go-to-market strategy for Cast AI’s Database Optimization product. Responsibilities include researching customers, validating ICPs and buyer personas, developing positioning and messaging, running GTM experiments, managing launches, creating sales enablement materials, analyzing competition, translating technical benefits for buyers, and feeding market insights into product strategy. The role also requires building AI-assisted marketing workflows and collaborating closely with Product, Engineering, Growth, Sales, and leadership.

As a Senior Software Engineer, you'll design and build distributed systems for Kubernetes infrastructure, manage cloud resources, and collaborate closely with teams to solve complex technical challenges.

Own social strategy and execution for two products across LinkedIn, X, YouTube. Repurpose existing content, run creative growth campaigns, manage end-to-end content production, coordinate with marketing, product, community and DevRel, run growth experiments, and own social-attributed pipeline and audience growth metrics.

The Senior Software Engineer will design, build, and optimize backend services and Kubernetes operators on multi-cloud platforms, focusing on infrastructure solutions and automation.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

Own the full sales cycle for Cast AI Database Optimizer: prospect, qualify, demo, run proofs of concept, build business cases, negotiate and close net-new enterprise and upper mid-market customers while partnering with Product and Engineering.

Hands-on Engineering Manager for the KUBE team responsible for leading and mentoring engineers while spending at least half time writing production code. Own product development execution, design scalable infrastructure, manage multi-cloud Kubernetes provisioning (EKS/GKE/AKS), work with IaC (Terraform), CI/CD and GitOps (GitLab CI, ArgoCD), contribute to monitoring and on-call rotations, and collaborate with Product to deliver resilient, high-performance features at fleet scale.

Design, train, and evaluate tabular and time-series ML models; run experiments; build and maintain data pipelines; analyze data and optimize SQL queries; collaborate with ML and data engineering teams to productionize models and provide AI expertise across the organization.

Serve as the technical lead and trusted advisor for assigned accounts, guide Kubernetes onboarding and cluster connection within 90 days, drive renewals and expansion, run FinOps business reviews, and coordinate resources across Cast AI to ensure customer success.

The Enterprise Account Executive is responsible for driving sales of cloud automation solutions, managing client relationships, and ensuring value delivery through effective communication and collaboration with stakeholders in the customer organization.