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Technical Account Manager - UK

Dataiku - London, England, United Kingdom - Hybrid - posted 2026-08-17

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Dataiku is seeking a Technical Account Manager to serve as a highly experienced architect supporting a small portfolio of strategic clients (approximately 3 per TAM). This role combines deep technical expertise with strong interpersonal skills to manage complex customer relationships and drive technical success. Key Responsibilities: - Collaborate with customers and internal account teams to identify priorities and develop engagement plans - Manage project milestones in partnership with Customer Success Managers, providing regular status updates and proactively mitigating risks - Serve as the central point for client technical information and contribute to account strategy - Act as primary technical advisor for client teams across platform architecture, deployment, operations, upgrades, best practices, security, data management, compute resources, ML-Ops, monitoring, and scaling strategies - Support Field Engineering team growth through documentation, process improvements, and knowledge sharing - Assist clients with product integration and troubleshoot technical challenges - Capture client feedback and feature requests for Product and Engineering teams - Advise client tech leaders on complementary technologies and long-term technical strategy - Explore and support advanced use cases including edge computing, deep learning, and MLOps Required Qualifications: - 7+ years in customer-facing technical roles - Native or bilingual English proficiency - Strong communication and client relationship skills - Experience with both pre- and post-sales engagements - Linux system administration and networking proficiency - Identity and access management tools experience (LDAP, Kerberos, Active Directory, IAM) - Hands-on cloud platform experience (AWS, Azure, GCP) - Kubernetes ecosystem expertise for setup, administration, troubleshooting, and tuning - Familiarity with Hadoop and/or Spark ecosystems Desirable Skills: - Python experience - Data science knowledge - Basic Java knowledge - ML-Ops practices and tools familiarity

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