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M-Files Appoints Matt Marriott as Chief Revenue Officer

PRIVATEApr 03, 2025

Position

Chief Revenue Officer

Company

M-Files

Matt Marriott
matt.marriott@m-files.com
AustinSoftwareArtificial IntelligenceMachine Learning

Description

M-Files has announced the appointment of Matt Marriott as Chief Revenue Officer. In his new role, Marriott will lead the company's global sales strategy and drive business growth.

Quick answer

M-Files Appoints Matt Marriott as Chief Revenue Officer (April 3, 2025). M-Files is based in Austin, Texas, United States.

Who is the new Chief Revenue Officer at M-Files?
M-Files named Matt Marriott Chief Revenue Officer, announced April 3, 2025.
What did M-Files announce on April 3, 2025?
M-Files has announced the appointment of Matt Marriott as Chief Revenue Officer. In his new role, Marriott will lead the company's global sales strategy and drive business growth.
What does M-Files do?
M-Files is redefining how work gets done.
Where is M-Files based?
M-Files is based in Austin, Texas, United States.
Which similar companies made leadership changes around the same time?
ModelOp (April 1, 2025), Pia (April 1, 2025), Alteryx (March 31, 2025) and Intelagen (April 7, 2025) also announced leadership changes within 45 days of M-Files.

Source: Fundz verified event record.

Other recent leadership changes in Software and Artificial Intelligence

Executive moves at companies in the same sectors within 45 days, from Fundz verified event records.

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A new leader at M-Files brings new priorities and often new vendors. The first weeks are when they listen.

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Company Information

Company

M-Files

Location

Austin, Texas, United States

About

M-Files is redefining how work gets done. Our AI-native document management system offers purpose-built business use cases—spanning universal and industry-specific workflows—to enable secure collaboration, automate processes, and ensure governance. Unlike traditional systems, M-Files organizes content around the context of your business, connecting documents to related people, projects, and transactions. With our unique metadata-driven architecture, organizations can model content in line with their business processes, unify information across silos, and apply AI at scale. The result is greater productivity, reduced risk, and smarter, faster decisions for over 6,000 customers in 100+ countries.

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