Technical Account Manager - France

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM).

Responsibilities

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

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

Nice to have

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