Sr Manager GTM & AI Analytics
What is the job
What does "usage" mean when the product works autonomously? How do we measure value delivered vs. sessions logged? What's the leading indicator of expansion when the user isn't clicking, but its agent is?
AI is both what you analyze and how you analyze. You'll measure how our AI products deliver value to customers, and you'll use AI tools to do that measurement faster and deeper than any traditional analytics team could.
You're the person who tells us why a number moved and what to do about it. Pipeline slowing? You diagnose the stage, segment, and rep-level bottleneck before anyone asks. Expansion stalling? You build the propensity model, identify the white space, and hand the VP of CSM prioritized target list.
This isn't a traditional analytics role. Ivo builds AI products that interact with customers in ways that didn't exist a few years ago: autonomous contract review, LLM-powered intelligence queries, API-driven workflows. The old playbook for measuring engagement (DAU/MAU, feature clicks, time-in-app) doesn't fully apply when an AI agent does the work and the human reviews the output. You'll need to invent new frameworks for measuring business impact when the product thinks, acts, and delivers value without a user sitting in a UI. If that problem excites you, keep reading.
Reporting to the VP Revenue Strategy & Operations, you'll own GTM analytics end-to-end: pipeline health and velocity, forecast modeling, win/loss analysis, rep productivity, territory performance, expansion propensity, churn risk — and the product usage metrics that connect how customers interact with our AI to whether they renew, expand, and advocate. You'll partner with the Director of GTM Operations (who owns execution) and the Director of GTM Systems & Automation (who owns infrastructure), and the tech team, translating data into action.
As pricing evolves toward usage-based and API consumption models, and eventually outcome models, you'll build consumption analy...