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Finance Transformation Intern (Summer 2026)

Dropbox
Remote - US: All locationsRemotePosted January 28, 2026

Job Description

Role Description

We are seeking a highly motivated and analytical Finance Transformation Intern to join our team for the Summer 2026 internship program. This role offers hands-on experience working at the intersection of finance, data, systems, and process improvement, with additional exposure to cross-functional and company-wide transformation initiatives, including AI-enabled use cases.

As a Finance Transformation Intern, you will contribute to high-impact projects focused on improving financial processes, automation, analytics, and tooling across the Finance organization, while also supporting the development of a company-wide AI use case library in partnership with teams beyond Finance (e.g., Operations, Legal, Sales etc).

Through this experience, you will:

  • Gain practical exposure to finance and enterprise transformation initiatives within a fast-paced, technology-driven company.
  • Partner with Finance, Accounting, and cross-functional teams to support process optimization, automation, analytics, and responsible AI adoption.
  • Learn how organizations redesign workflows, implement new tools, and scale AI-enabled solutions across functions.
  • Develop foundational skills in process mapping, analytics, systems thinking, documentation, and change management.
  • Build strong relationships through mentorship, collaboration, and career guidance from experienced finance, cross-functional, and transformation leaders.
  • Establish a solid foundation for careers in finance transformation, business operations, analytics, finance systems, or AI-enabled operations.

Responsibilities

  • Support finance and cross-functional transformation projects by documenting and analyzing existing finance and business processes.
  • Assist in identifying opportunities to improve efficiency through automation, analytics, and responsible use of AI-enabled tools across Finance and other business functions.
  • Contribute to small-scale AI and automation initiatives, including testing tools, validating outputs, and documenting use cases and workflows.
  • Con

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