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's AI Acceleration Team is a newly-formed function inside GTM Strategy & Operations, built to apply AI directly to the workflows that make our go-to-market teams faster and more effective. We prioritize solutions built natively in Gong first, and build custom tooling where Gong doesn't yet cover the use case. This is a founding hire on a lean, fast-moving team with high executive visibility. As a GTM AI Architect, you'll identify high-leverage opportunities to improve GTM productivity, then scope, design, build, and implement those solutions alongside a GTM AI Engineer. Your role is to ensure that
the team is working on the most impactful projects and driving them through to adoption and moving the metrics that matter. An example workflow: a system that scans months of call activity to identify who previously requested a product feature that's since shipped, and auto-drafts personalized outreach with proposed use cases so the field teams can close the loop.
