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Shannon Low
Technology Entrepreneur, Investor and Advisor
Shannon Low is a seasoned professional with a diverse background in seed investment, startup advisory, business development, technology development, product management, partnership strategy, and government relations.
Shannon holds a Master of Science degree in Economics for Development and a Bachelor of Arts degree in Philosophy, Politics, and Economics from the esteemed University of Oxford. Earlier in Shannon's academic journey, they studied Computer Science, Physics, and Maths at Raffles Junior College, followed by GCE 'O' Levels at Raffles Institution.
Throughout Shannon's career, they have been involved with various renowned organizations in advisory, mentoring, and partnership roles. Some of the key positions Shannon has held include Advisor at Interface Labs, Mentor at Techstars, Venture Partner at Lyrik Ventures, and Director at Google, where they oversaw Play Partnerships for EMEA region, led Android Apps and Games Business Development, and managed New Business Development for APAC.
Shannon's rich professional experience also includes roles such as Business Development Manager at Plug and Play Tech Center, Director at Heresy Pte Ltd, and Senior Manager at Media Development Authority of Singapore in the Animation & Games division.
In addition to their corporate roles, Shannon has been actively engaged in the startup ecosystem, providing guidance and mentorship at organizations like Startup Lisboa, MAZE Impact, and Oxford Foundry. Shannon has also contributed their expertise as an Advisor at Loop Games, Fabric Ventures, and Astia.
With a solid background in academia, extensive experience in business and technology, and a track record of successful partnerships and advisory roles, Shannon Low is a well-rounded professional with a deep understanding of the startup landscape and business development.
Highlights
New drop on Research: Is there really a value proposition in decentralised compute and DePIN? Thanks Paul Joe for collaborating on this!
New drop on Research: A preliminary thesis mapping out the problem space and investment opportunities related to AI agents across the technology stack, including foundation models, infrastructure for building and deploying models, infrastructure and technical solutions for building AI agents, AI agents as products, and platforms for development and distribution of AI agents. All feedback welcome, please let me know what you think!
