SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 Senior Technical Account Manager, you will serve as a highly experienced architect and primary technical advisor for a small set of strategic clients (approximately 4 per TAM). This is a client-facing role requiring both technical depth and relationship management skills.
Key responsibilities include:
- Partner with the Customer Success team to identify client priorities and develop engagement plans
- Manage technical milestones, deliverables, and proactively identify and mitigate risks
- Serve as the centralized technical resource for assigned accounts, contributing to account strategy
- Provide hands-on technical guidance on Dataiku platform architecture, deployment, operations, upgrades, security, data management, compute resources, ML-Ops, and monitoring
- Troubleshoot product implementation within client systems and advise on technology choices
- Support innovative approaches including edge computing, deep learning, and advanced MLOps
- Communicate feature requests and technical feedback to product and R&D teams
- Contribute to Field Engineering team growth through documentation, process optimization, and peer upskilling
Required qualifications:
- 7+ years in customer-facing technical roles
- Strong Linux system administration and networking experience
- Expertise with authentication/authorization systems (LDAP, Kerberos, AD, IAM)
- Hands-on cloud experience (AWS, Azure, GCP)
- Kubernetes ecosystem knowledge (setup, administration, troubleshooting, tuning)
- Hadoop and/or Spark ecosystem experience
- Comfort in both pre- and post-sale technical engagements
- Ability to communicate effectively with both technical teams and C-level executives
Desirable skills include Python, Java, and MLOps knowledge.
