Michael S.

Michael S.

Commercial Account Executive @ Lambda

About Michael S.

Michael S. is a Commercial Account Executive at Lambda, specializing in machine learning hardware and cloud solutions. He has a background in both technical and commercial roles, having previously worked at IBM and Cybrary, and holds degrees from the University of Mississippi and the University of Virginia.

Current Role at Lambda

Michael S. serves as a Commercial Account Executive at Lambda, where he has been employed since 2022. In this role, he engages with high-profile clients, including Lockheed Martin, Microsoft, and the Department of Defense. His responsibilities involve managing client relationships and promoting the company's machine learning hardware and cloud solutions.

Previous Experience at Cybrary

Prior to his current position, Michael worked as an Account Executive at Cybrary from 2021 to 2022. His tenure at Cybrary lasted one year and took place in the Washington D.C. Metro Area. This role contributed to his expertise in commercial sales and client management.

Experience at IBM

Michael S. gained valuable experience as a Technical Solutions Specialist at IBM from 2018 to 2020. He worked in the Washington D.C. Metro Area for two years, where he developed a strong foundation in technical solutions and client engagement, which facilitated his transition to commercial roles.

Education and Academic Background

Michael holds a Bachelor of Arts in History from the University of Mississippi, where he studied from 2012 to 2016. He furthered his education by obtaining a Master of Science in Commerce with a focus on Business Analytics from the University of Virginia, completing this program from 2017 to 2018.

Technical and Commercial Expertise

Michael S. has a diverse background that includes both technical and commercial roles. His experience as a Technical Solutions Specialist at IBM and his current position at Lambda highlight his ability to bridge the gap between technical solutions and commercial applications, particularly in the field of machine learning and cloud technology.

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