
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
1001 - 5000 employees
💰 $400M Series E on 2021-08
November 25

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
1001 - 5000 employees
💰 $400M Series E on 2021-08
• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels • Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement • Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution • Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise • Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment
• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product • Experience with cloud platforms such as AWS, Azure, and GCP • Experience with Docker and Kubernetes • Collaborative and helpful mindset with a focus on always working as a team • A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors • Proficiency working with Unix-based operating systems • Experience with relational databases (or data warehouses like Snowflake) and SQL • Ability to read and write Python or R code
• Health insurance • 401(k) matching
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