Dataiku logo
Dataiku

Everyday AI, Extraordinary People

Technical Account Manager

Location

Germany

Posted

69 days ago

Salary

0

Seniority

Lead

Job Description

Technical Account Manager

Dataiku

• 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

Job Requirements

  • 7+ years of experience in a customer-facing technical role
  • Native or bilingual proficiency in German
  • 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

Benefits

  • Flexible working hours
  • Professional development opportunities

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