Staff Analyst, Engineering Excellence

<div class="content-intro"><p>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.</p> <p>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.</p></div><p>As a Staff Analyst, Engineering Excellence, you'll build the measurement foundation that R&amp;D leadership relies on to make high-stakes decisions. Sitting at the intersection of data, engineering, and strategy, you'll define the metrics, dashboards, and insights that help leaders understand where to invest, what’s slowing teams down, and where quality or reliability may be at risk. Your work will directly influence how hundreds of engineers operate and how Gong scales its product development organization.</p> <h3><strong>You’ll own:</strong></h3> <ul> <li>Defining and governing trusted engineering metrics across Reliability, Quality, Operational Excellence, and Engineering Effectiveness.</li> <li>Designing and maintaining dashboards, reporting mechanisms, and analytical assets that support R&amp;D leadership and operational reviews.</li> <li>Building scalable measurement frameworks by partnering with Data and Analytics Engineering to model data across systems and ensure high-quality instrumentation.</li> </ul> <h3><strong>You’ll solve:</strong></h3> <ul> <li>Limited visibility into engineering performance by creating clear, actionable measurement frameworks that align teams around the right priorities.</li> <li>Hidden risks impacting productivity, reliability, or customer experience by proactively identifying trends, surfacing issues, and driving data-informed decisions.</li> </ul> <h3><strong>You’ll impact:</strong></h3> <ul> <li>R&amp;D leadership’s ability to make strategic investment decisions based on trusted, organization-wide enginee