Sr Business Effectiveness Manager, AI

<div class="content-intro"><p>Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.</p> <p>We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.</p></div><p><strong>Why You’ll Love This Role</strong></p> <p>Cribl is looking for a Senior Business Effectiveness Manager, AI to shape how a 1,000+ person, remote-first company maximizes its AI investments. You’ll lead Cribl’s approach to the business-critical knowledge AI relies on and to the use cases and solutions worth scaling company-wide. Partnering with the Sr. Manager, Business Effectiveness and leaders in every function, you’ll turn AI activity happening across the business into shared, reusable infrastructure that makes teams more effective.</p> <p>&nbsp;</p> <p><strong>As An Active Member Of Our Team, You Will…</strong></p> <p>Knowledge Strategy &amp; Governance</p> <ul> <li>Set Cribl's knowledge strategy – define with function owners which knowledge is business-critical, then build and design a single source of truth for it.</li> <li>Ensure business-critical knowledge and content stay accurate and up to date, running a regular verification cycle and holding content owners accountable for updates.</li> <li>Partner with AI tool owners so business-critical knowledge is what AI references first, regardless of tool.</li> <li>Map the context layers forming across the business and set the strategy for connecting them, partnering with Data, IT, and Engineering to build where needed.</li> </ul> <p>AI Use Case &amp; Solution Strategy</p> <ul> <li>Identify and prioritize Cribl’s top AI use cases, make them easy to find and reuse, and lead the build of universal solutions where a high-value use case has no solution yet.</li> <li>Track what’s being built across the business and scale high-value solutions into company-wide infrastructure, including the process and verification standards for a shared skills and agents registry.</li> <li>Stay ahead of the AI landscape, translating emerging capabilities – new models, tools, and agentic workflows – into Cribl’s approach.</li> </