Technical Account Manager - France

About Dataiku

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require.

How you'll make an impact

• 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.

What you'll need to be successful

• 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.

How you'll stand out

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

What does the hiring process look like?

1. Initial call with a member of our Technical Recruiting team.
2. Video call with the TAM Hiring Manager.
3. Technical Assessment to show your skills (Home Test).
4. Debrief of your Tech Assessment with TAM Team members.
5. Customer-facing situational peer interview.
6. Final Interview with the VP Field Engineering.

Why Dataiku?

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!