TZ

Tristan Zajonc

Cofounder & CEO at Continual

San Francisco, California

Invests in

  • Min Investment:

    $100,000.00
  • Max Investment:

    $10,000,000.00
  • Target Investment:

    $5,000,000.00

Education

Work Experience

  • Cofounder & CEO

    2019

    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.

2016 - 2019

  • 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.

2012 - 2016

  • 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.

2012 - 2013

  • 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.