Vincent Thomas
About Vincent Thomas
Vincent Thomas is an AI Product Director with extensive experience in integrating AI capabilities into enterprise applications. He has held positions at notable companies including Google, OpenAI, and Scale AI, and has advanced degrees in Computer Science and Artificial Intelligence.
Work at ScaleAI
Vincent Thomas currently serves as the AI Product Director at Scale AI, a position he has held since 2021. In this role, he is responsible for overseeing the demand insight of AI technology specifically in enterprise-level application scenarios. His work involves identifying business pain points and integrating AI capabilities to develop leading product solutions. He plays a crucial role in coordinating cross-departmental cooperation to ensure that projects are completed on schedule and meet quality standards.
Previous Experience at Google
Vincent Thomas worked at Google as a Demand Analyst from 2015 to 2018. During his three years in this role, he was based in San Francisco, California. His responsibilities included analyzing demand trends and providing insights that informed product development and marketing strategies.
Experience at OpenAI
Before joining Scale AI, Vincent served as an AI Platform Product Manager at OpenAI from 2018 to 2021. This role also took place in San Francisco, California, and involved managing product strategies for AI platforms. His experience at OpenAI contributed to his expertise in integrating AI capabilities into various applications.
Background in Research at Bossa Nova
Vincent Thomas began his career as a Researcher at Bossa Nova, where he worked from 2011 to 2015 in Pittsburgh, Pennsylvania. His four years in this position provided him with foundational experience in research and development, particularly in the field of robotics and AI applications.
Education and Expertise
Vincent holds a Bachelor's degree in Computer and Application from the National University of Singapore, which he completed from 2005 to 2009. He furthered his education at Carnegie Mellon University, earning a Master of Computer Science with a focus on Artificial Intelligence from 2009 to 2011. His academic background supports his expertise in identifying business challenges and developing AI-driven product solutions.