Business Manager Jobs

About The Position

Requirements

• 10+ years of experience in operations, strategy, or knowledge management roles, ideally at a technology company.
• Track record of setting strategy and delivering it.
• Experience building programs, processes, and governance that turn fragmented cross-functional work into scalable infrastructure.
• Strong understanding of knowledge architecture, including how information should be structured, connected, and governed to remain accurate and build on itself.
• Hands-on AI fluency, including building agents and workflows, with sufficient technical depth to partner with Engineering, Data, and IT.
• Proven ability to drive company-wide adoption without direct authority.
• Experience building and running champion or community networks.
• Experience defining adoption and impact metrics and using data to guide decisions and priorities.
• Strong executive presence and ability to develop business cases that gain buy-in from VP and C-suite stakeholders across competing priorities.
• Comfort operating in ambiguity where established playbooks do not exist.
• Experience working with remote or distributed teams.

Nice To Haves

• Experience with enterprise search platforms such as Glean.
• Experience managing or mentoring a team; preferred but not required.

Responsibilities

• Set the company’s knowledge strategy with function owners, identify business-critical knowledge, and design a single source of truth.
• Maintain the accuracy and currency of business-critical knowledge through regular verification cycles and accountability for content owners.
• Partner with AI tool owners to ensure AI tools prioritize business-critical knowledge.
• Map context layers across the business and develop a strategy for connecting them, partnering with Data, IT, and Engineering.
• Identify and prioritize top AI use cases, make them easy to find and reuse, and lead development of universal solutions where needed.
• Track AI solutions being developed across the company and scale high-value solutions into company-wide infrastructure.
• Establish processes and verification standards for a shared skills and agents registry.
• Monitor developments in AI models, tools, and agentic workflows and translate relevant capabilities into the company’s approach.
• Partner on rollouts of company-wide AI platforms and ensure they connect to company knowledge and existing solutions.
• Mobilize business experts to drive AI activation at scale, including running the AI Champions Network.
• Track company-wide AI adoption, spending, and ROI with Finance and Engineering, providing leaders visibility into results.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Short-term disability insurance
• Life insurance
• Paid holidays
• Paid time off
• Fertility treatment benefit
• 401(k)
• Equity
• Cribl Corporate Bonus Program