Arjuna Solutions Welcomes Former Microsoft GM to Leadership Team

Arjuna Solutions, an artificial intelligence company specializing in non-profit fundraising solutions, announced today that Michael Gorriarán has joined the company in the new role of Senior Vice President. Gorriarán brings decades of experience in scaling cloud software solutions, including 10 years at Microsoft, where he most recently served as General Manager of the Worldwide Commercial Markets Strategy Group. In that capacity, Gorriarán was responsible for leading Microsoft’s transition from software to cloud services, outpacing competitors like Google, VMware, and Amazon.

While at Microsoft, Gorriarán received the Corporate Circle of Excellence Platinum Club Award for his outstanding work and leadership. Gorriarán also recently served as Managing Partner at Veo Consulting group, where he designed cloud-specific go-to-market strategies for multinational corporations and emerging technology companies.

Having managed multi-billion dollar departments in markets all over the world, Gorriarán brings a much-needed global mindset to Arjuna Solutions, and more specifically to ExactAsk, Arjuna’s artificial intelligence product for non-profits. ExactAsk is dedicated to increasing the revenues of U.S. based non-profits on an international scale. “I’m really excited to be joining the talented Arjuna Solutions team and helping them fulfill their mission to improve non-profit fundraising,” said Gorriarán.

“We are thrilled to have such a gifted and proven executive coming aboard,” says Arjuna Solutions CEO Adam Treiser. “ExactAsk will benefit from Mr. Gorriarán’s experience in a variety of ways, and his arrival will aid the company in continuing to expand our footprint in the non-profit sector.”

About Arjuna:

Arjuna Solutions is a data science company based in Washington, D.C., that specializes in predictive analytics solutions. Their products include Persanalytix, which analyzes marketing data and provides advanced insights, and ExactAsk, which uses a proprietary machine learning algorithm to determine personalized ask amounts for non-profit donors, helping to increase fundraising revenues.

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