Alan Ho

AI Product Strategy at DataStax

Alan Ho has a diverse work experience in various companies and roles. Alan is currently working at DataStax as an AI Product Strategy, where they provide guidance on product strategy and go-to-market for the company's pivot to AI. Prior to this, Alan was a Co-Founder of a stealth company and worked as an AI Consultant, offering expertise in implementing AI systems.

Alan's previous experience includes working as a Product Management Lead for Google Quantum AI, where they led product and program management, developed product strategy, and hired managers for the team. Alan also served as a Steering Committee Member for the US Quantum Economic Development Consortium.

Before joining Google, Alan worked at Apigee, where they held multiple roles including Head of Developer Relations and Director of Product. Alan played a key role in integrating InstaOps' mobile application Performance Monitoring capabilities into Apigee's product and managed Apigee's Backend as a Service capabilities.

Alan has also worked as a Startup Advisor, providing guidance to founders on product ideation, go-to-market strategy, and eCommerce. Alan has advised companies such as Kindlycare.com and Nutpods.

Earlier in their career, Alan was a Co-Founder and CEO of InstaOps, a company that provided network performance monitoring and configuration management for native apps. Alan also worked at Dell as a Senior Manager of Product Management, where they built an internal platform for eDell's web applications and services. Prior to that, they worked at Amazon.com as a Senior Technical Program Manager, leading complex cross-functional IT projects.

Overall, Alan Ho has a strong background in AI, product management, and strategy, with a focus on innovative technologies such as quantum AI and real-time AI.

Alan Ho attended The University of British Columbia from 1997 to 2002, where they obtained a Bachelor's degree in Engineering Physics. Additionally, they attended Sir Winston Churchill, although no specific information regarding the duration or field of study is provided.

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Timeline

  • AI Product Strategy

    November, 2022 - present

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