Cheick Keita
About Cheick Keita
Cheick Keita serves as the Head of Data Products at Notion, where he has worked since 2021. He has a strong background in engineering leadership, having previously held positions at Slack, VigLink, and Commission Junction.
Work at Notion
Cheick Keita has served as the Head of Data Products at Notion since 2021. In this role, he is responsible for building and leading the data engineering and search teams. His contributions have been instrumental in the development of Notion's data platform, enhancing the company's capabilities in data management and search functionalities. His leadership in this area reflects his extensive experience in engineering roles within the tech industry.
Previous Experience in Tech Companies
Prior to his role at Notion, Cheick Keita worked at several notable tech companies. He served as an Engineering Manager at Slack from 2017 to 2021, where he contributed to the company's engineering efforts. Before that, he held a similar position at VigLink from 2011 to 2017. His career began at Commission Junction, where he worked as a Software Engineer from 2005 to 2011. His diverse experience spans multiple locations, including the San Francisco Bay Area, Santa Barbara, and Paris.
Education and Expertise
Cheick Keita holds a Master's degree in Computer Engineering from Polytech Grenoble, where he studied from 2000 to 2005. He also studied Computer Science at UC Santa Barbara for one year in 2004. His educational background has provided him with a strong foundation in engineering principles, which he has applied throughout his career in various leadership roles in the tech industry.
Engineering Leadership Experience
Cheick Keita has extensive experience in engineering leadership roles across multiple tech companies. His career trajectory includes significant positions that have allowed him to develop skills in team leadership, project management, and technical innovation. His roles have involved overseeing engineering teams and driving the development of technology solutions, particularly in data engineering and product development.