
201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
🔥 1 minute ago
Where this job comes from
Posted on Cast AI's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
• Own the end-to-end BI strategy for GTM analytics — from data modeling and metric definitions through dashboard delivery and adoption. • Define and govern a single source of truth for core revenue metrics across Sales, Marketing, BDR, Partnerships, and SE teams in AMER and APAC. • Evaluate, select, and manage BI tooling, balancing build-vs-buy trade-offs against cost and maintainability. • Design, build, and maintain executive-ready dashboards and self-service reporting for weekly and quarterly business reviews. • Translate ad hoc stakeholder questions into structured, reusable analyses. • Build and maintain pipeline health, funnel, and productivity models. • Perform cohort, segmentation, attribution, and forecasting analyses. • Partner with Systems teams to ensure Salesforce and adjacent GTM systems produce clean, well-governed, analytics-ready data. • Establish data quality monitoring, validation checks, and escalation paths. • Document metric definitions, data lineage, and reporting logic. • Act as the primary analytics point of contact for Sales, Marketing, BDR, Partnerships, and Solutions Engineering leadership.
• 5+ years of experience in business intelligence, analytics, or revenue operations, ideally within a B2B SaaS or technology company. • Proven experience owning BI strategy and delivery — not just building individual reports, but defining how a company measures and trusts its own data. • Strong SQL skills and hands-on experience with at least one modern BI platform (Looker, Tableau, Power BI, Sigma, or similar). • Deep fluency with Salesforce data models and CRM-driven reporting; experience with SaaS revenue metrics (ARR/MRR, pipeline, churn, retention, NRR/GRR). • A track record of turning raw data into structured, executive-ready deliverables (dashboards, decks, and written analyses) for leadership audiences. • Excellent stakeholder management — able to push back constructively on requirements, methodology, or data interpretation when needed. • Advanced Excel/Google Sheets skills alongside BI tooling. • Experience with dbt, Snowflake, BigQuery, or similar modern data-stack components. • Familiarity with third-party enrichment or intent-data tools (e.g., HG Insights, Intricately, ZoomInfo, Apollo) and how they integrate with CRM data. • Prior experience supporting global GTM organizations spanning multiple regions (e.g., AMER and APAC). • No visa sponsorship/work permit is provided.
• Competitive salary • Flexible, remote-first global environment • Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology • Equity options • Learning budget for professional and personal development, including access to international conferences and courses • Team-building budget and company events to connect with your colleagues • Equipment budget to ensure you have everything you need • Extra days off to help maintain a healthy work-life balance • Potential for personal growth and promotion as the company grows and success drives more hiring and more opportunities
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