Technical Account Manager
Technical Account Manager supporting strategic French clients through platform architecture, deployment, operations, integrations, and troubleshooting. The role requires 7+ years in customer-facing technical work, strong French and English communication, and hands-on cloud, Kubernetes, and Linux expertise.
About the job
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 mitigate 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 clients and provide hands-on support with:
- Dataiku platform architecture and deployment
- Platform operations and upgrades
- Platform usage best practices
- Security, data management, and compute resources
- MLOps, monitoring, and scaling strategies
- Assist with system integrations and troubleshoot technical challenges.
- Capture customer feedback and feature requests for Product and Engineering teams.
- Advise technology leaders on complementary technologies and long-term technical strategy.
- Support advanced use cases involving edge computing, deep learning, and MLOps.
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-sales and post-sales engagements.
- Proficiency in Linux system administration, including networking.
- Experience with identity and access management tools such as LDAP, Kerberos, Active Directory, and IAM.
- Hands-on experience with AWS, Azure, or GCP.
- Hands-on experience with Kubernetes setup, administration, troubleshooting, and tuning.
- Familiarity with Hadoop and/or Spark.
Nice-to-haves
- Experience with Python.
- Data science knowledge.
- Basic knowledge of Java.
- Familiarity with MLOps practices and tools.
Skills
Linux, Networking, Ldap, Kerberos, Active Directory, IAM, AWS, Azure, GCP, Kubernetes, Hadoop, Spark, Python, Java, MLOps
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