About Rox At Rox, we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to handle the manual work so they can focus on what they do best: selling. Just as coding agents 10x'd engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world's first revenue operating system — from the application layer to the system of context. With Rox, humans are evolving into orchestrators while agents manage the end-to-end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is an unwavering, shared belief in the mission — with an unreasonable commitment to doing whatever it takes to make it a reality. Nothing is possible without the world-class team assembled to redefine how businesses operate. The role We’re hiring a Revenue Operations Analyst to be the analytical backbone of our GTM engine. As we scale from where we are today through the next 18-months, the decisions that determine how we scale our organization, how we incentivize the field, how we cut territories, where we set pipeline targets, and how we know week-to-week whether we’re on track, need a rigorous analyst who is also a pragmatic operator. This is a high-ownership, high-visibility seat that reports to and partners closely with the VP of Revenue Operations and Finance. You’ll own commission and quota planning, and you’ll be a core analytical partner on territory design and sales performance analytics. You will define the foundations that enable us to have a data driven command of our GTM, and your work will drive decisions that show up in the board deck. We’re an AI-first company, and we expect RevOps to operate that way too. You’ll be encouraged to reach for AI and automation before spreadsheets and manual process — using our own platform, agents and modern tooling to model, analyze, and report faster than a traditional ops team ever could. We’d rather you build a repeatable, AI-driven system than a one-off analysis.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed