Technical Account Manager - Dubai

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Technical Account Managers are highly experienced Architects who are comfortable with a very client-facing role and who dedicate themselves to a small set of strategic clients, (~4 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts. How you'll make an impact Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including: Dataiku platform architecture and deployment Platform operations and upgrades Best practices for platform usage Security, data management, and compute resources ML-Ops, monitoring, and scaling strategies Assist clients in integrating the product into their systems and troubleshoot technical challenges Capture client feedback and feature requests to inform the Product and Engineering teams Advise client tech leaders on complementary technologies and long-term technical strategy. Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps What you'll need to be successful 7+ years of experience in a customer-facing technical role Strong communication and client relationship skills Experience supporting both pre- and post-sales engagements Proficiency in Linux system administration, including networking Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM) Hands-on experience with cloud platforms (AWS, Azure, GCP) Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning Familiarity with the Hadoop and/or Spark ecosystems How you'll stand out Experience with Python Data-Science knowledge Basic knowledge of Java Familiarity with ML-Ops practices and tools What does