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AI Operations Specialist

Maintain inventory, track adoption, manage access, and ensure data quality for AI tools used by the field organization. Requires detail-oriented operations experience, interest in AI, and comfort with structured processes in a remote environment.

95k – 161k/yr
Remote2+ YOEOther

About the role

What You’ll Do

Tool Inventory & Consolidation: Maintain an up-to-date inventory of all AI tools used across the field org, identify overlap or redundancy, and support consolidation efforts to reduce tool sprawl.

Tool Adoption & Use Case Index: Formalize a library of field-adopted and -requested use cases for our AI tools, in coordination with the AI Transformation Owner, CRO.

Utilization & Tracking: Monitor usage of AI tools across teams, build simple reporting to track adoption trends, and flag underutilized or underperforming tools to stakeholders.

Comms & Enablement: Draft internal announcements for tool rollouts and create micro-enablement programs to engage the field in AI tools.

Tool Access Requests/Management: Own the intake and processing of access requests for AI tools, ensuring provisioning is timely, accurate, and aligned with licensing and approval requirements.

AI Data Management: Support the organization, quality, and hygiene of data used by or generated from AI tools, working with relevant teams to keep gDrive/datasets accurate and properly maintained.

What You’ll Bring

  • Some experience in enablement, sales/business operations, IT operations, or a similar coordination-heavy function; comfortable owning recurring operational processes.
  • Strong attention to detail with the ability to track multiple tools, requests, and datasets simultaneously.
  • Genuine curiosity about AI tools and platforms, with willingness to learn the technical basics of how they're configured, accessed, and maintained. Act as an advocate for AI Adoption and best practices in the field.
  • Comfortable following and improving structured processes (intake forms, access workflows, tracking dashboards).
  • Able to work with enablement, IT, and field stakeholders to gather requirements and resolve access or data issues efficiently.
  • Basic comfort working with spreadsheets, dashboards, or simple data tools to track utilization and maintain data quality.
  • Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration.

Skills

AI Toolstool inventory managementdata managementProcess Improvementreporting and analyticsenablementstakeholder collaborationspreadsheetsDashboards

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