CLOs on the Move


 
Jamf, the standard for Apple in the enterprise, extends the legendary Apple experience people love to businesses, schools and government organizations through its software and the 90,000 members of Jamf Nation, the largest community of Apple IT admins in the world. Today, 50,000 global customers entrust Jamf with more than 20 million Apple devices. We are growing and actively building our team across the globe. Visit the Careers section of our LinkedIn page to learn more about our open positions.
  • Number of Employees: 1K-5K
  • Annual Revenue: > $1 Billion
  • www.jamf.com
  • 100 Washington Avenue South Suite 1100
    Minneapolis, MN USA 55401
  • Phone: 612.677.7075

Executives

Name Title Contact Details
Ashleigh Leitch
Associate General Counsel Profile
Marcella McIntyre
Associate General Counsel at Jamf Profile
David Zobell
Associate General Counsel - Corporate Securities Profile
Jeff Lendino
General Counsel Profile

Similar Companies

Mingus Software

Mingus Software Inc. is a Montrí©al, QC-based company in the Software & Internet sector.

Lexumo

Lexumo offers the first automated service that continuously monitors your code for public vulnerabilities such as Heartbleed. Built on a massively-scalable cloud stack, the service uses patent-pending graph analytics and machine learning technology developed for DARPA to precisely identify vulnerable code. This radical new architecture eliminates the false positives and negatives of previous approaches — enabling development teams to ship and maintain secure code, faster.

Spring Technologies

Spring Technologies is a Cambridge, MA-based company in the Software and Internet sector.

WizCom Technologies

WizCom Technologies is a Acton, MA-based company in the Software and Internet sector.

Qubole

Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon Web Services, Microsoft and Google Clouds. We were started by the team that built and ran Facebook`s Data Service when they founded and authored Apache Hive. With Qubole, a data scientist can now spin up hundreds of clusters on their public cloud of choice and begin creating ad hoc and/or batch queries in under five minutes and have the system autoscale to the optimal compute levels as needed.