Justin Driemeyer
About Justin Driemeyer
Justin Driemeyer is a Principal Engineer specializing in AI and ML at RudderStack, with extensive experience in both startups and established companies.
Current Position at RudderStack
Justin Driemeyer is currently serving as the Principal Engineer focusing on AI and ML at RudderStack. In this role, he is responsible for leading initiatives connected to artificial intelligence and machine learning, leveraging his extensive background in these fields. His role involves creating strategic technological roadmaps and steering complex engineering projects to fruition.
Previous Experience at 8x8
Prior to his tenure at RudderStack, Justin worked as a Staff Engineer - AI / ML at 8x8 in San Jose, CA. During his time there from 2018 to 2021, he focused on integrating AI and machine learning solutions to enhance the company's communication software. This role required him to handle large-scale engineering challenges and collaborate closely with cross-functional teams.
Engineering Role at Zynga
Justin spent a significant portion of his career at Zynga, initially joining the company as a Software Engineer from 2007 to 2009. He later advanced to the position of Director of Engineering, holding that title from 2009 to 2014. At Zynga, he was integral in developing engineering strategies and scalable solutions that supported the company’s gaming platform. His roles demanded strong leadership and technical skills to drive project success.
Educational Background
Justin holds an MS in Computer Science with a focus on AI from Stanford University, where he studied from 2005 to 2007. He also achieved a BS in Computer Engineering from the University of Illinois Urbana-Champaign, completing the program from 2000 to 2004. This strong academic foundation has underpinned his extensive career in software engineering and machine learning.
Early Career at Boeing and MarianaIQ
Justin's early career includes a stint as a Software Engineer at Boeing in St Louis, Missouri, where he worked for 11 months from 2004 to 2005. He later joined MarianaIQ as an ML Startup Engineer, contributing to their machine learning initiatives from 2015 to 2018. His work in these roles laid the groundwork for his subsequent advancements in AI and ML engineering.