People Analytics Manager

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.

As the People Analytics Manager, you will empower Gong's Leadership Team and broader People function to make confident, data-driven business decisions. You will bring analytical rigor, product thinking, and storytelling craft to transform complex workforce data into clear narratives and actionable strategies. You will also help shape how the team responsibly adopts AI and machine learning to scale analytical capabilities, automate workflows, and unlock deeper workforce insights, all in service of helping #CreateRavingFans of Gong employees. This role will report to the Director of People Analytics.

RESPONSIBILITIES

• Partner with key stakeholders to shape and execute a strategic People Analytics roadmap aligned with business priorities

• Translate stakeholder needs into analytical products including dashboards, self-serve reporting tools, and workforce planning models

• Deliver insights through compelling data narratives tailored for both technical and non-technical audiences, including senior leadership

• Analyze large, complex datasets from multiple sources to surface actionable insights that drive people team initiatives and business decisions