Martin Fabbri
About Martin Fabbri
Martin Fabbri is a Senior R&D Product Manager specializing in AI and machine learning at o9 Solutions, Inc. He has extensive experience in software engineering and product management, having previously worked at Symantec and Hewlett Packard Enterprise.
Work at o9 Solutions
Martin Fabbri has been serving as a Senior R&D Product Manager specializing in AI and Machine Learning at o9 Solutions, Inc. since 2021. His role involves leveraging his expertise in data science and applied machine learning to enhance product development and innovation. Based in Eugene, Oregon, he leads cross-functional teams to tackle significant customer challenges, integrating data analytics with product management strategies.
Previous Experience at Hewlett Packard Enterprise
Prior to his current position, Martin Fabbri worked at Hewlett Packard Enterprise as a Senior Product Manager focusing on AI and Machine Learning from 2008 to 2021. During his 13 years in this role, he developed and managed AI-driven products, contributing to advancements in technology and customer solutions in the Eugene, Oregon area.
Experience at Symantec
Martin Fabbri began his career at Symantec, where he held the position of Lead Software Engineer from 2005 to 2008. During his three years in Springfield, Oregon, he was involved in software development projects that contributed to the company's cybersecurity solutions.
Education and Expertise
Martin Fabbri holds a Master of Science in Computer Science from the University of Iowa, a Bachelor of Science in Computer Science from Universidad Católica Boliviana, and an MBA from Willamette University. His educational background supports his expertise in data science, applied machine learning, natural language processing, experimentation, and remote sensing.
Skills in Product Management
Martin Fabbri possesses strong engineering capabilities complemented by business instincts, which enable him to effectively manage products from concept to market. He excels in leading cross-functional teams and employing a balanced approach of data analytics and product sense to address key customer issues.