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Technical Account Manager - UK

5 hours, 34 minutes ago
United Kingdom
Full-time
Senior
Technical Account Manager
Customer and Technical Support
Active Directory Apache Spark AWS Azure Deep Learning GCP Hadoop Java Kubernetes Linux Machine Learning MLOps Python
Apply Now
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
View All Jobs 3

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 mitigate risks.
  • Serve as the central technical point of contact for client accounts and contribute to account strategy.
  • Provide hands-on technical guidance on Dataiku platform architecture, deployment, operations, upgrades, and best practices.
  • Advise on security, data management, compute resources, ML-Ops, monitoring, and scaling strategies.
  • Help clients integrate the product into their systems and troubleshoot technical issues.
  • Capture client feedback and feature requests for Product and Engineering teams.
  • Support the Field Engineering team through documentation, process improvements, and knowledge sharing.
  • Advise client technology 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.
  • Native or bilingual proficiency in English.
  • 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 (preferred).
  • Data science knowledge (preferred).
  • Basic knowledge of Java (preferred).
  • Familiarity with ML-Ops practices and tools (preferred).

Benefits

  • Hybrid work setup (#LI-Hybrid).
  • Opportunity to work on strategic enterprise AI accounts.
  • Exposure to advanced AI, ML, and MLOps use cases.
  • A culture that emphasizes innovation, collaboration, and personal growth.
  • Equal opportunity employer practices and accommodations support.

Interested in this position?

Apply directly on the company website

Apply Now

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