Dataiku

HQ
New York
Total Offices: 11
1,000 Total Employees
Year Founded: 2013

Jobs at Dataiku

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Recently posted jobs

9 Days AgoSaved
In-Office
3 Locations
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
Dataiku seeks individuals passionate about shaping AI's future. The company emphasizes collaboration, innovation, and personal growth in a diverse environment.
9 Days AgoSaved
In-Office
Denver, CO, USA
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
The Sr Sales Engineer will qualify deals, conduct discovery meetings, design demonstrations, manage POCs, and provide technical guidance to customers. They will work alongside Account Executives and Business Development Representatives to demonstrate Dataiku's value and assist in building the sales pipeline.
9 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
As a Sales Engineer, you will qualify deals, conduct customer meetings, demonstrate Dataiku, and support sales activities to ensure customer success.
22 Days AgoSaved
In-Office
Amsterdam, NLD
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
Build and maintain automated test suites (API and UI), define test strategies and plans, improve test infrastructure (VMs, containers, CI), collaborate with developers to ensure testable code, mentor QA teammates, and execute integration testing across big-data and cloud environments.
22 Days AgoSaved
In-Office or Remote
Berlin, DEU
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
Build and maintain automated test suites (API and UI), define test strategies and manual plans, collaborate with developers to ensure testable code, improve test infrastructure (VMs, containers, CI), mentor QA members, and participate in integration testing and CI workflows.
22 Days AgoSaved
In-Office
Paris, Île-de-France, FRA
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
Develop and maintain automated test suites (API and UI) using Python and test frameworks, define manual testing plans and strategies, improve test infrastructure (VMs, containers, provisioning), collaborate with developers to ensure testable code, participate in CI pipelines, and mentor QA team members.