Technical Account Manager(m/w/x)

Description

As a Technical Account Manager, you will engage with clients to identify their needs and develop strategic plans while providing hands-on technical support and guidance on the Dataiku platform. This role involves managing project milestones, troubleshooting challenges, and advising on best practices to ensure client success.

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
• •Experience with Python
• •Data-Science knowledge
• •Basic knowledge of Java
• •Familiarity with ML-Ops practices and tools

Tasks

• •Collaborate with customers to identify priorities and develop engagement plans
• •Manage project milestones with Customer Success Managers and clients
• •Provide regular status updates and proactively identify issues
• •Serve as a central point for client technical information
• •Contribute to account strategy with the broader account team
• •Support the Field Engineering team through documentation and process improvements
• •Act as the primary technical advisor for client teams
• •Guide clients on Dataiku platform architecture and deployment
• •Assist with platform operations and upgrades
• •Share best practices for platform usage
• •Advise on security, data management, and compute resources
• •Support ML-Ops, monitoring, and scaling strategies
• •Help clients integrate the product into their systems
• •Troubleshoot technical challenges for clients
• •Capture client feedback and feature requests for Product and Engineering teams
• •Advise client tech leaders on complementary technologies and long-term strategy
• •Explore advanced use cases involving Dataiku, such as edge computing and deep learning

Tools & Technologies