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Dataiku is the Platform for AI Success, an enterprise orchestration layer for building, deploying, and governing AI. The company enables teams to design and operate analytics, machine learning, and AI agents with transparency, collaboration, and control across multi-vendor environments.
As a Technical Account Manager, you will serve as a highly experienced architect supporting a small portfolio of approximately 3 strategic clients. You'll combine deep technical expertise with strong interpersonal skills to manage complex customer relationships at all levels—from boardroom discussions with CTOs to hands-on technical work with administrators.
Key responsibilities include:
- Collaborating with customers and internal account teams to identify priorities and develop engagement plans
- Managing project milestones alongside Customer Success Managers, providing status updates and proactively mitigating risks
- Serving as the central technical point of contact for client information and account strategy
- Providing hands-on technical guidance across platform architecture, deployment, operations, upgrades, security, data management, compute resources, ML-Ops, monitoring, and scaling
- Supporting system integration and troubleshooting technical challenges
- Capturing client feedback to inform product and engineering teams
- Advising client tech leaders on complementary technologies and long-term technical strategy
- Exploring advanced use cases including edge computing, deep learning, and MLOps
- Contributing to Field Engineering team effectiveness through documentation and knowledge sharing
Required qualifications: 7+ years in customer-facing technical roles; professional proficiency in French and English; strong communication and client relationship skills; experience with pre- and post-sales engagements; Linux system administration and networking; identity and access management tools (LDAP, Kerberos, Active Directory, IAM); hands-on cloud platform experience (AWS, Azure, GCP); Kubernetes ecosystem expertise; familiarity with Hadoop and/or Spark ecosystems.
Desirable skills: Python, data science knowledge, basic Java, ML-Ops practices and tools.
