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Cribl

Data observability platform for logs

Senior Business Effectiveness Manager - AI

Business OperationsConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • 10+ years in operations, strategy, or knowledge management roles, ideally at a technology company, with a track record of setting strategy and delivering it.
  • Build programs, processes, and governance that turn fragmented cross-functional work into scalable infrastructure.
  • Understand knowledge architecture, including how information should be structured, connected, and governed to remain accurate and build on itself.
  • Have hands-on AI fluency, including building agents and workflows, and enough technical depth to partner with Engineering, Data, and IT.
  • Drive company-wide adoption without direct authority, including building and running champion or community networks.
  • Define adoption and impact metrics and use data to guide decisions and priorities.
  • Build strategic business cases and earn buy-in from VP and C-suite stakeholders across competing priorities.
  • Operate effectively in ambiguity and have experience with remote or distributed teams.

Responsibilities

  • Define the company’s knowledge strategy with function owners, identify business-critical knowledge, and build and design a single source of truth.
  • Maintain accurate, up-to-date business-critical knowledge and content through regular verification cycles, holding content owners accountable for updates.
  • Partner with AI tool owners to ensure AI references business-critical knowledge first, regardless of tool.
  • Map context layers forming across the business and set the strategy for connecting them, partnering with Data, IT, and Engineering to build where needed.
  • Identify and prioritize top AI use cases, make them easy to find and reuse, and lead the build of universal solutions when high-value use cases lack solutions.
  • Track AI solutions being built across the business and scale high-value solutions into company-wide infrastructure, including processes and verification standards for a shared skills and agents registry.
  • Monitor the AI landscape and translate emerging capabilities, including new models, tools, and agentic workflows, into the company’s approach.
  • Partner on rolling out new company-wide AI platforms and ensure they connect to company knowledge and existing solutions.
  • Mobilize experts across the business to drive AI activation at scale, including running the AI Champions Network.
  • Track company-wide AI adoption, spend, and return on investment, partnering with Finance and Engineering to give leaders visibility into what is working.

Desired Qualifications

  • Experience with enterprise search platforms such as Glean.
  • Experience managing or mentoring a team.

About the Company

Cribl

Data observability platform for logs

Cribl helps tech teams manage and understand their data through data observability. Its two main products, Cribl Stream and Cribl Edge, collect, route, transform, and analyze logs, metrics, and other observability data. Edge gathers real-time data from network edge devices, sending it to Stream or other destinations for processing. Stream routes and transforms data on-premises or in the cloud and forwards it to destinations, with integrations like Office 365 and Microsoft Azure to monitor activity and security. The goal is to give teams real-time visibility into data, improve operational efficiency, and strengthen security by managing data flows and observability insights.

Company size
1,001-5,000
Company stage
Private
Total funding
$596.4M
Headquarters
San Francisco, CA
Founded
2018

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