FinOps Engineer III

ZoomInfo is seeking a FinOps Engineer to join the centralized FinOps team of its enterprise-scale, multi-cloud organization. The successful candidate will play a crucial part in optimizing core GCP and AWS spend, as well as the global suite of third-party tech stacks, by driving financial accountability and implementing best practices. Responsibilities: Drive cloud and AI cost optimization across GCP and AWS by identifying, quantifying, and implementing savings opportunities spanning compute, storage, networking, and data services. Build and automate guardrails, including budget alerts, anomaly detection, and rightsizing recommendations to keep multi-cloud environments efficient by default. Design and enforce tagging and allocation frameworks that enable accurate cost attribution, showback/chargeback, budgeting & forecasting, and unit-economics reporting across teams and products. Manage commitment-based discounts by analyzing usage patterns and optimizing coverage and utilization. Partner directly with engineering teams to review and re-architect workloads for cost efficiency, embedding FinOps principles into design and deployment practices. Develop dashboards, reports, and forecasts that give stakeholders clear visibility into spend trends, drivers, and the ROI of optimization efforts. Govern third-party SaaS and tech-stack spend, partnering with engineering to evaluate, right-size, and consolidate vendor costs. Establish and evangelize FinOps best practices, standards, and self-service tooling that scale financial accountability across the organization. Requirements: 3+ years of experience in cloud engineering, infrastructure, DevOps, or FinOps, with a strong focus on cost optimization and governance. Hands-on expertise with at least one major cloud provider (GCP or AWS); experience with both in a multi-cloud environment strongly preferred. Proven experience building and managing automated FinOps alerting: anomaly detection, budget and forecast thresholds, and alert routing and tuning. Familiarity with tracking AI model usage and spend across multiple LLM providers. Proficiency with cloud cost-management tooling (e.g., GCP Billing/BigQuery billing exports, AWS Cost Explorer/CUR, CloudHealth). Proficiency in SQL and at least one scripting language (Python preferred) for data analysis and automation. Experience building dashboards and reports in Looker, Looker Studio, Tableau or similar tools. Clear communication skills, and the ability to influence engineering and finance stakeholders without direct authority. Job Data by YubHub .