Dataiku

Dataiku

Dataiku develops a collaborative data science software platform that empowers teams to explore, prototype, build, and deliver data products, facilitating the transformation of business data into impactful insights through Everyday AI.

Internet Software & Services
251-1K
Founded 2013
$847M raised

Description

  • Collaborate with customers and internal account teams to define short- and long-term priorities and create engagement plans.
  • Manage project milestones with Customer Success Managers and clients, including deliverables, status updates, and risk mitigation.
  • Serve as the central technical point of contact for client accounts and contribute to account strategy.
  • Provide hands-on technical guidance and support across platform architecture, deployment, operations, upgrades, security, data management, compute resources, and MLOps.
  • Help clients integrate Dataiku into their systems and troubleshoot technical issues.
  • Advise client technical leaders on complementary technologies and long-term technical strategy.
  • Capture client feedback and feature requests for Product and Engineering teams.
  • Support Field Engineering through documentation, process improvements, and knowledge sharing.
  • 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-sales and post-sales engagements.
  • Proficiency in Linux system administration, including networking.
  • Experience with identity and access management tools such as LDAP, Kerberos, Active Directory, or IAM.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting, and tuning.
  • Familiarity with Hadoop and/or Spark ecosystems.
  • Experience with Python is preferred.
  • Data science knowledge is preferred.
  • Basic knowledge of Java is preferred.
  • Familiarity with MLOps practices and tools is preferred.

Interested in this position?

Apply directly on the company website

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