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Sr Technical Account Manager - East

Dataiku - Remote - Remote - posted 2026-08-17

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Dataiku is seeking a Senior Technical Account Manager for the East region to serve as a primary technical advisor to a small set of strategic enterprise clients (~4 per TAM). This role bridges customer success and technical delivery, requiring deep expertise in platform architecture, deployment, and operations. You will work closely with Customer Success teams and clients to identify priorities, define engagement plans, and manage technical milestones. Responsibilities include advising on Dataiku platform architecture (initial deployment, expansions), platform operations and upgrades, security, data management, compute resources, ML-Ops, and monitoring. You'll provide hands-on support for troubleshooting, help clients optimize their use of the platform, and serve as a technical advisor to client CTOs and engineering teams. Key responsibilities: - Partner with Customer Success to develop account strategies and engagement plans - Manage technical milestones, deliverables, and proactively identify/mitigate risks - Centralize technical information about accounts and contribute to account strategy - Provide guidance on platform architecture, operations, best practices, and technology choices - Support clients with implementation, troubleshooting, and optimization - Communicate feature requests and feedback to product and R&D teams - Contribute to Field Engineering team development through documentation and process optimization - Support innovative approaches (edge computing, deep learning, advanced MLOps) Required qualifications: - 7+ years in customer-facing technical roles - Strong Linux system administration and networking experience - Expertise with authentication/authorization systems (LDAP, Kerberos, AD, IAM) - Hands-on cloud experience (AWS, Azure, GCP) - Kubernetes ecosystem knowledge (setup, administration, troubleshooting, tuning) - Hadoop and/or Spark ecosystem experience - Excellent client-facing communication skills - Ability to work both pre- and post-sale Desirable skills: Python, Java, ML Ops knowledge.

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