AI Automation & Revenue Ops Intern
Spring 2027 Internship: This position is located at our HQ in Durham, NC. Expected program dates are January 19 – April 23, 2027. Anticipated working hours will be 15-30 per week. Final hours and schedule will be determined between the intern and their manager.
Note: Toshiba Global Commerce Solutions will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction:
We are looking for a motivated and analytical intern with a passion for Artificial Intelligence (AI), technology, and business process improvement to join our Revenue Operations team.
This role offers an opportunity to apply technical skills to real-world business challenges by developing AI-powered applications, automated workflows, data validation tools, and dashboards that improve operational efficiency, accuracy, and productivity.
The intern will work closely with business stakeholders to understand existing processes, identify repetitive manual tasks, and translate business requirements into practical technology solutions using our approved enterprise tools and platforms. Projects will focus on areas such as billing validation, pricing and contract reconciliation, data quality, reporting, and exception detection to help prevent errors, reduce manual effort, and minimize revenue leakage.
This is an ideal opportunity for a student who combines technical curiosity and problem-solving skills with an interest in understanding how businesses operate and how technology can make them more efficient.
Responsibilities:
- Learn and map existing Revenue Operations processes in collaboration with team members, identify repetitive manual tasks and process bottlenecks, and uncover 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 opportunities to reduce manual work, detect process errors, and minimize potential revenue leakage through AI and automation.
- Collaborate with business stakeholders to understand existing 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, to identify opportunities for business process improvement.
Required Qualifications
- Must be able to work on-site at our Durham, NC headquarters at least one day per week; two days preferred.
- 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 workflow automation concepts and the ability to identify opportunities to automate repetitive tasks and improve process efficiency.
- General understanding of business processes.
- Strong analytical thinking, attention to detail, communication skills.
- Strong curiosity, initiative, and willingness to experiment with new technologies, take ownership of tasks, and learn through hands-on problem-solving.
Preferred Skills:
- 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.