Jobs at CAST AI

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.

As a Developer Experience Engineer for Kimchi, you'll create technical content, engage with the developer community, and advocate for user needs, all while representing the product. You'll also actively participate in product planning and community discussions.

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.

Enterprise Account Executive responsible for sourcing and owning pipeline, conducting opportunity assessments and value discovery, demonstrating ROI, navigating complex multi-stakeholder deals (CTO, VP Eng, FinOps), collaborating with Sales Engineering and Customer Success, maintaining CRM and forecast discipline, and closing negotiations to drive long-term customer value.

As a Sales Engineer, you will support sales teams with technical expertise, deliver presentations, evaluate client needs, and represent the company at events.

The Senior Product Designer will enhance user experiences, collaborate with teams, and tackle technical challenges, focusing on design for SaaS and AI-driven applications.

The Senior Software Engineer will focus on optimizing databases, addressing complex issues, and contributing to a new project in a fast-paced environment.

Own and execute paid media, AI visibility (GEO/AEO), and performance partnerships across Cast AI and Kimchi. Build systems for AI-driven bidding, full-funnel tracking, attribution, experimentation, and ROI-driven budget management to scale measurable pipeline growth.

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.

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.

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

Provide deep technical support and troubleshooting for Cast AI customers, owning issues end-to-end. Collaborate cross-functionally, document solutions, mentor junior staff, and participate in an on-call rotation to ensure reliability and customer success.

Own and optimize GTM tech stack (Salesforce, engagement and intent tools). Build and maintain integrations and automations, enforce CRM data hygiene, support sales/marketing/customer success, manage access and documentation, and lead vendor evaluations and rollouts.

As a Product Manager, you'll drive the cloud-native platform forward by gathering user insights, shaping roadmaps, and leading teams to deliver impactful products in a Kubernetes environment.

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