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 build engagement plans.
  • Manage project milestones with Customer Success Managers and clients, provide status updates, and identify and mitigate risks.
  • Serve as the primary technical advisor for client teams across architecture, deployment, operations, upgrades, security, data management, compute, and MLOps topics.
  • Support client integration efforts and troubleshoot technical issues.
  • Act as a central source of client technical information and contribute to overall account strategy.
  • Capture client feedback and feature requests for Product and Engineering teams.
  • Advise client technical leaders on complementary technologies and long-term technical strategy.
  • Support the effectiveness of the Field Engineering team 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.
  • Native or bilingual proficiency in German.
  • 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 including AWS, Azure, or 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 is preferred.
  • Data science knowledge is preferred.
  • Basic knowledge of Java is preferred.
  • Familiarity with MLOps practices and tools is preferred.

Benefits

  • Hybrid work arrangement indicated by the posting.
  • Opportunity to work with strategic enterprise clients in a high-impact technical advisory role.
  • Career growth within a company focused on innovation, collaboration, and personal development.
  • Equal opportunity employer commitment with accommodations available for candidates who need assistance.

Interested in this position?

Apply directly on the company website

Apply Now

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