
Job Overview
Location
United Arab Emirates, Remote
Job Type
Full-time
Category
Customer Success
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • As a Technical Account Manager at Dataiku, you will serve as a trusted technical advisor and strategic partner to a small portfolio of enterprise clients (~4 per TAM), ensuring the successful adoption, optimization, and scaling of the Dataiku AI platform across complex environments.
- • Day to day, you will collaborate with customers and internal teams to define short- and long-term priorities, manage project milestones, provide hands-on technical guidance on platform architecture, deployments, upgrades, security, ML-Ops, and cloud/Kubernetes ecosystems, troubleshoot integration challenges, capture feedback for product teams, and drive process improvements through documentation and knowledge sharing.
- • You will join a global Field Engineering team at Dataiku, the Platform for AI Success, which empowers enterprises to operationalize AI with transparency, collaboration, and governance across multi-vendor environments, serving industry leaders who rely on Dataiku to deliver measurable business value from AI initiatives.
- • In this role, you will deepen your expertise in enterprise AI infrastructure, strengthen client advisory and cross-functional collaboration skills, influence product direction through real-world feedback, and grow as a strategic technical leader shaping AI success for global organizations.
Skills & Technologies
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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