Collaborate with customers and the internal account team to identify short- and long-term priorities and develop engagement plans
Manage project milestones with Customer Success Managers and clients; contribute to deliverables, provide regular status updates, and proactively identify/mitigate issues and risks
Serve as the central point for client technical information and contribute to account strategy
Support growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
Act as primary technical advisor, providing guidance and hands-on support across Dataiku platform architecture and deployment, platform operations and upgrades, best practices for platform usage, security, data management, and compute resources, and ML-Ops/monitoring/scaling strategies
Assist clients in integrating the product into their systems and troubleshoot technical challenges
Capture client feedback and feature requests to inform Product and Engineering teams
Advise client technical leaders on complementary technologies and long-term technical strategy
Explore and support advanced use cases such as edge computing, deep learning, and MLOps
Requirements
7+ years of experience in a customer-facing technical role
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
Experience with Python (desirable)
Data-Science knowledge (desirable)
Basic knowledge of Java (desirable)
Familiarity with ML-Ops practices and tools (desirable)
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Linux system administrationnetworkingidentity and access managementcloud platformsKubernetesHadoopSparkPythonJavaML-Ops