Jennifer Li

Jennifer Li


More About Jennifer

Jennifer Li is a General Partner at Andreessen Horowitz, where she focuses on enterprise and infrastructure investments in data systems, developer tools, and AI. She’s passionate about open source and loves products that abstract complex problems to a simple interface. She’s on the board of ElevenLabs and is a board observer at Motherduck, Fivetran, and dbt Labs.

Prior to joining Andreessen Horowitz in 2018, Jennifer led product at Solvvy, a startup (acquired by Zoom in 2022) that brings conversational AI to the customer experience. Before that, she led self-service and analytics products at AppDynamics (acquired by Cisco for $3.7 billion). She was a Kleiner Perkins Product Fellow in 2016. 

Jennifer grew up in northern China and moved to the United States for her higher degrees. She holds an MS in Software Engineering from Carnegie Mellon University and an MS in Technology Management from Rensselaer Polytechnic Institute. When she’s not iterating on products or go-to-market strategies with her portfolio companies, she loves to travel, read, and garden.

Latest Content

  • The Future of Image Models Is Multimodal
    Mohammad Norouzi, Jennifer Li, and Derrick Harris

    In this AI + a16z podcast episode, Mohammad Norouzi shares his story of building influential text-to-image models at Google and cofounding Ideogram.

  • Mature code-generation technology, coupled with advanced generative AI image models, has shortened the journey from idea to fully operational application.

  • Investing in Ideogram
    Martin Casado and Jennifer Li

    The release of the latest model is a massive step forward for image models. We're excited to lead their Series A.

  • Investing in Upstash
    Jennifer Li and Yoko Li

    Upstash powers caching and messaging for tens of thousands of production applications across four different products, including many AI applications.

  • The Getting Started with AI Stack for JavaScript
    Yoko Li, Jennifer Li, and Martin Casado

    A very simple “getting started with AI” template for those who want to play with core technologies, but not have to think too much about tooling. 

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