AI Automation & Revenue Ops Intern

External•Durham, NC
•Hybrid

About The Position

The AI Automation & Revenue Ops Intern joins Toshiba Global Commerce Solutions’ Revenue Operations team for the Spring 2027 internship program, expected to run January 19 through April 23, 2027. The position is based at the company’s Durham, North Carolina headquarters and requires onsite work at least one day per week, with two days preferred. The anticipated schedule is 15–30 hours per week, with final hours and schedule determined by the intern and manager. The intern will apply technical skills to business challenges by developing AI-powered applications, automated workflows, data validation tools, and dashboards. Working with business stakeholders, the intern will learn existing processes, identify repetitive manual tasks, and turn business requirements into practical solutions using approved enterprise tools and platforms. Work may address billing validation, pricing and contract reconciliation, data quality, reporting, and exception detection to improve efficiency and accuracy, reduce manual effort, and help minimize revenue leakage.

Requirements

  • Currently pursuing a bachelor's or master's degree in Computer Science, Software Engineering, Information Systems, Data Science, Business Analytics, or a related field.
  • Programming knowledge in Python and Java.
  • Experience using Microsoft Copilot or a comparable AI tool, such as ChatGPT or Claude.
  • Understanding of AI/LLM concepts and AI-powered applications.
  • Understanding of workflow automation concepts and ability to identify opportunities to automate repetitive tasks and improve process efficiency.
  • General understanding of business processes.
  • Strong analytical thinking, attention to detail, and communication skills.
  • Curiosity, initiative, and willingness to experiment with new technologies, take ownership of tasks, and learn through hands-on problem-solving.
  • Ability to work onsite at the Durham, NC headquarters at least one day per week; two days are preferred.
  • Ability to work without current or future visa sponsorship.

Nice To Haves

  • Familiarity with Microsoft Azure and SharePoint.
  • Business acumen and an interest in Revenue Operations, including billing, pricing, contracts, and renewals.
  • Pursuing a double major or minor in Business or a related discipline alongside a technical degree.
  • Familiarity with agentic AI, AI agents, and multi-step AI workflows.
  • Experience building AI-powered applications, automated workflows, or prototypes.
  • Exposure to Microsoft Power Platform, Power Automate, or Power Apps.
  • Familiarity with data analysis, SQL, dashboards, or reporting tools such as Power BI.
  • Experience with APIs, data integration, or document-processing solutions.
  • Understanding of data validation, reconciliation, anomaly detection, or process improvement.

Responsibilities

  • Learn and map Revenue Operations processes with team members, identify repetitive manual tasks and bottlenecks, and find opportunities for AI and automation to improve efficiency and accuracy.
  • Develop AI-powered solutions and automated workflows to improve Revenue Operations efficiency, accuracy, and productivity.
  • Build tools to validate billing data, reconcile pricing and contract information, and identify discrepancies.
  • Explore AI applications for document processing, data extraction, customer request classification, and information analysis.
  • Develop dashboards and reporting solutions to improve visibility into operational performance, data quality, and exceptions.
  • Identify ways to reduce manual work, detect process errors, and minimize potential revenue leakage through AI and automation.
  • Collaborate with business stakeholders to understand workflows, gather requirements, and translate business needs into technical solutions.
  • Test, troubleshoot, document, and refine applications and automated workflows using approved enterprise tools and platforms.
  • Research emerging AI technologies and automation approaches, including AI agents, for business process improvement.
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