Tristan Zajonc
Founder of Continual
Tristan Zajonc
Founder of Continual
San Francisco, California
Overview
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.
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.
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.
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.