Dataiku SAS logo

UX Designer Manager

Job Overview

Location

France, Paris; France, Remote; Germany, Berlin - Remote; Netherlands, Amsterdam; Netherlands, Remote; United Kingdom, London; United Kingdom, Remote

Job Type

Full-time

Category

Design

Date Posted

April 21, 2026

Full Job Description

đź“‹ Description

  • • As a Senior User Experience Designer - Manager at Dataiku, you will lead UX strategy and execution for the Data Science Platform, focusing on model and agent interfaces, governance, and monitoring experiences. You will inspire change across product development by delivering compelling presentations and driving user-centered design practices.
  • • Day to day, you will design and run concept validation studies, research user behaviors, translate insights into wireframes and prototypes, negotiate designs with cross-functional partners, maintain style guides, and manage two senior designers in their daily activities while contributing to the evolution of Dataiku’s in-house design language.
  • • You will join a multidisciplinary team of Data Scientists, Developers, UX Designers, researchers, and Product Managers in Paris and remote locations, working to build the most ergonomic and powerful Data Science platform that serves both citizen data scientists and advanced analytics practitioners.
  • • In this role, you will deepen your expertise in AI-driven product design, strengthen leadership and stakeholder communication skills, and shape the user experience of enterprise AI tools used by global organizations to drive measurable business value.

Skills & Technologies

JavaScript
Design
Remote
Degree Required

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Dataiku SAS
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About Dataiku SAS

Dataiku SAS provides a collaborative data science and machine learning platform enabling organizations to build, deploy, and monitor predictive analytics workflows. Founded in 2013 and headquartered in New York and Paris, the company serves global enterprises in finance, retail, pharmaceuticals, and manufacturing. Its flagship product, Dataiku DSS, offers visual data preparation, AutoML, model management, and governed MLOps, integrating with existing cloud and on-premise infrastructure. The company aims to democratize data science across technical and business teams, accelerating AI adoption while maintaining governance, transparency, and compliance.

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