About the role
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. Gong is seeking a hands-on Senior AI Enablement professional. Sitting within our IT organization, this role is the heartbeat of our internal digital transformation. You will empower our internal teams by bridging the gap between strategic AI innovation and deep technical AI operations. At the innovation level, you will help create high level AI objectives. At the operations level you will ensure that enterprise AI spend is governed, consistent, and scalable. This is an individual contributor role designed for a "scrappy builder" who thrives on turning complexity into streamlined and automated excellence.
RESPONSIBILITIES Innovation AI Use Case Identification: Identify the internal AI use cases that drive the most value Proof of Efficacy: Build and deploy POCs independently to demonstrate ROI before scaling. Business Partnership Coordinate AI project execution across teams (Talent, Support, Sales, Go-To-Market) to ensure critical initiatives move forward. Operations (The "Guardrails") AI Stack Operations: Ensure that the enterprise AI stack is delivering maximum value to the business: managing models, performance tuning, token management AI Process Standardization: Build consistent AI processes that enable the business to meet its objectives (e.g. prompt libraries, system approvals) Performance Monitoring: Build dashboards to track SLAs/SLOs (latency, accuracy, uptime) and monitor usage, cost, and error rates.
