Technical Account Manager
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Job Description
Technical Account Manager advising strategic clients on Dataiku’s enterprise AI platform. Supporting architecture, cloud, Kubernetes, MLOps, integrations, and long-term technical strategy.
Responsibilities:
- Collaborate with customers and internal account teams to identify priorities and develop engagement plans
- Manage project milestones with Customer Success Managers and clients
- Contribute to deliverables, provide status updates, and identify and mitigate issues and risks
- Serve as the central point for client technical information and contribute to account strategy
- Support Field Engineering through documentation, process improvements, and knowledge sharing
- Advise client teams on Dataiku platform architecture, deployment, operations, upgrades, usage, security, data management, compute resources, ML-Ops, monitoring, and scaling
- Assist clients with product integration and troubleshoot technical challenges
- Capture client feedback and feature requests for Product and Engineering teams
- Advise client technology leaders on complementary technologies and long-term technical strategy
- Explore and support advanced Dataiku use cases including edge computing, deep learning, and MLOps
- Complete the stated hiring process, including recruiter call, hiring manager interview, technical home assessment, assessment debrief, customer-facing situational peer interview, and final VP interview
Requirements:
- 7+ years of experience in a customer-facing technical role
- Professional proficiency in French and English
- 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
Benefits:
- Personal growth opportunities
- Equal opportunity employment practices
- Reasonable accommodation support
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