Jobs at CAST AI

Own full-cycle enterprise sales across Korea, from outbound pipeline generation through negotiation and close. Sell CAST AI’s cloud infrastructure automation platform to complex buying committees across engineering, DevOps, FinOps, finance, and procurement. Build executive business cases, conduct technical discovery, manage multi-threaded deals, maintain accurate CRM forecasts, develop hyperscaler and SI partnerships, and help shape Korea’s go-to-market strategy.

Owns Cast AI’s commercial contracting function, negotiating sales, renewal, SaaS, vendor, reseller, partnership, NDA, SLA, EULA, and subscription agreements. Leads contracting process standardization for a growing multi-product business, advises on privacy, intellectual property, governance, and compliance, coordinates commercial disputes with external counsel, and supervises APAC legal resources. Partners closely with sales, customer success, deal desk, billing, support, and compliance teams.

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.

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

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

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.

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.

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.

Owns end-to-end global People Operations across six legal entities and 34 countries. Responsibilities include employee lifecycle administration, payroll and EOR coordination, benefits, HRIS data integrity, local compliance, contracts, policies, employee support, reporting, and process standardization. The role supports cross-border moves, new-market expansion, and international workforce operations while maintaining accurate, compliant, and employee-friendly processes.

Own 100% new-logo sales across mid-market and enterprise accounts in Brazil. Responsibilities include building outbound pipeline, conducting value-based discovery, managing 3–4 month sales cycles, negotiating and closing deals, co-selling with channel partners, and delivering product demos. The role requires cloud and Kubernetes fluency, MEDDIC or comparable value-selling experience, strong prospecting and closing skills, and relocation to or residence in São Paulo.

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.

Generate pipeline across APAC by researching and prospecting target accounts, executing personalized outbound campaigns (email/phone/LinkedIn), engaging technical buyers, partnering with AEs on territory plans, maintaining CRM hygiene, experimenting with messaging and AI tools, and consistently meeting pipeline-generation goals.

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.

Lead and scale Cast AI's channel program across GSI, MSP, and VAR tiers. Build the GSI motion, recruit and activate partners, manage the PAM team, establish operating cadences (QBRs, joint planning), define incentives and program infrastructure, and align channel strategy with Sales, SEs, Marketing, Product, Finance, and Legal to make partner-sourced pipeline predictable.

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.

Design, implement, test, and operate the Kimchi AI inference and agent platforms end-to-end. Build scalable inference APIs, distributed datastores, billing/metering, harnesses, and secure agent fleets. Diagnose performance issues, optimize latency and databases, ensure observability and CI/CD, and collaborate with product and users to ship features rapidly.

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.