Tom Wojcik
About Tom Wojcik
Tom Wojcik is the Director of Product Management at Spot AI, where he focuses on integrating AI and ML features into video products. He has over a decade of experience in product management, machine learning, and data science, with a strong educational background from Stanford University.
Work at Spot AI
Tom Wojcik serves as the Director of Product Management at Spot AI since 2022. In this role, he focuses on integrating AI and machine learning features into video products. His work emphasizes the ethical use of technology and aims to democratize access for businesses. Spot AI is located in San Jose, California, where Wojcik contributes to the company's mission of enhancing video analytics through innovative solutions.
Education and Expertise
Tom Wojcik holds multiple degrees from Stanford University. He earned a Bachelor of Science in Mechanical Engineering with a focus on Thermodynamics from 2002 to 2006. He later completed a Master of Science in Mechanical Engineering, Mechatronics, and Thermodynamics from 2006 to 2007. Additionally, he obtained an MBA from the Stanford University Graduate School of Business, specializing in Entrepreneurship and Managing Growing Enterprises from 2009 to 2011. This educational background supports his expertise in product management, machine learning, and data science.
Background
Before joining Spot AI, Tom Wojcik held various positions in the technology and automotive sectors. He worked as a Hybrid and Electric Vehicle Engineer at Ford Motor Company from 2007 to 2009. He then transitioned to Fracta as VP of Product Management and Data Science from 2020 to 2021. His experience also includes a role as Director of Product Management at Sunverge Energy, Inc. from 2015 to 2018, and as a Venture Capital Investor at Capricorn Investment Group from 2010 to 2014.
Achievements
Throughout his career, Tom Wojcik has led significant projects, including the development of a machine learning-based SaaS video analytics platform from inception to launch. His work combines engineering principles with market strategy, resulting in innovative product offerings. With over 10 years of experience in product management, he focuses on enhancing video products through AI and machine learning, ensuring ethical practices and accessibility for businesses.