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Tristan Zajonc

Founder of Continual

San Francisco, California

Overview 

Tristan Zajonc is the Co-founder and CEO of Continual, with a background in econometrics and economics. He has held leadership roles at Cloudera and Sense, Inc., and has a strong foundation in research, public policy, and program evaluation. Zajonc's career highlights include leading the development of Cloudera's machine learning capabilities as CTO and co-founding successful ventures like Continual and Sense, Inc.

Work Experience 

  • Cofounder & CEO

    2019 - Current

    Continual is an AI agent platform for business. If you want to learn more, see https://continual.ai or email me at tristan@continual.ai.

Continual is a next-generation AI platform for the modern data stack powered by end-to-end automation and a declarative workflow.

Raised $18,500,000.00 from Tristan Handy, Activation Venture Fund, GTMfund, Illuminate Ventures, Innovation Endeavors, Tomer Shiran, New Normal Ventures, Amplify Partners, Zero Prime Ventures and Inspired Capital Partners.

  • CTO for Machine Learning

    2018 - 2019

    Focused on building the next-generation cloud-native platform for machine learning and AI. Helped customers unlock the full value of data as CTO of Cloudera's Machine Learning business unit.

  • Head of Data Science Platform, Engineering

    2016 - 2018

    Joined Cloudera after Sense acquisition in 2016. - Launched Cloudera Data Science Workbench based on Sense product, Cloudera's fastest growing product ever. - Led the data science platform engineering team, including doubling team size. - Helped develop strategy and roadmap around machine learning and AI at Cloudera. - Awarded Cloudera's Impact Award for outstanding performance.

Cloudera is a software development company that offers data management and cloud-native data analytic solutions.

Raised $1,041,000,000.00 from Manhattan Venture Partners (MVP).

  • Cofounder and CEO

    2012 - 2016

    Acquired by Cloudera in March, 2016. Founded, built, and brought to market a collaborative platform for enterprise data science and machine learning (https://sense.io), creating a new product category in the process. Before being acquired, Sense was used by some of the largest enterprises to accelerate data science and machine learning from exploration to production. - Led development of modern data science platform from initial idea to first customers. - Raised $1.25M from multiple VCs and angels. - Led initial sales, including closing and growing multiple customers at over $100K ACV. - Hired first business development and engineering team members. - Shipped first data science platform built directly on Kubernetes. - Led acquisition processes to Cloudera.

Sense Platform is a cloud-based platform for data science and big data analytics.

Raised $1,860,000.00 from Scott Banister, Audrey Capital, Ben Davenport, Illuminate Ventures and Granite Ventures.

  • Visiting Fellow at Institute for Quantitative Social Science

    2012 - 2013

    - Collaborated with other researchers on projects in economics and econometrics. - Developed software for Bayesian estimation of optimal dynamic treatment regimes. - Published "Bayesian Inference for Dynamic Treatment Regimes" in the Journal of the American Statistical Association.

Articles About Tristan

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