Joshua Fox
About Joshua Fox
Joshua Fox is the Head of Product Marketing at Deepgram, with a background in product management and analytics at various technology companies, including AT&T and SparkCognition. He holds a Master of Science in Computer Science and has extensive experience in leading cross-functional teams and developing innovative products.
Current Role at Deepgram
Joshua Fox serves as the Head of Product Marketing at Deepgram, a position he has held since 2023. In this role, he is responsible for overseeing product marketing strategies and initiatives within the organization. His work involves collaborating with various teams to enhance product visibility and market reach, leveraging his extensive background in product management and marketing.
Previous Experience at AT&T
Joshua Fox has held multiple positions at AT&T, contributing to various aspects of product management and marketing. He served as Director of Product Analytics from 2017 to 2019, Director of Product Marketing Management for Internet & Video Services from 2019 to 2020, and Director of Product Management - New Platform Strategy from 2013 to 2017. His tenure at AT&T also included roles as Senior Product Manager for U-verse TV Applications and U-verse TV Core, spanning from 2006 to 2013.
Experience at SparkCognition
At SparkCognition, Joshua Fox worked as Director of Product Marketing for AI Technologies from 2021 to 2023. In this capacity, he focused on marketing strategies for AI-driven products, utilizing his expertise in technology and product development to drive growth and innovation within the company.
Engineering Background at ClearCube Technology and National Instruments
Joshua Fox began his career as a Senior Electrical Engineer in R&D at ClearCube Technology from 2001 to 2006. Prior to that, he worked as a Digital Hardware Engineer in R&D at National Instruments for one year in 1998-1999. These roles provided him with a strong foundation in engineering and product development.
Education and Expertise
Joshua Fox holds a Master of Science degree in Computer Science from the Georgia Institute of Technology, with a focus on machine learning and artificial intelligence. He also earned a Bachelor of Science degree in Electrical Engineering with a Computer Engineering option from the University of Wisconsin-Madison. His educational background supports his proven ability to lead teams and develop innovative products and platforms.