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How you’ll make an impact

  • Work with the customers and the account team to jointly identify near and longer-term priorities and define the associated engagement plan
  • Manage milestones with the customer and the Customer Success Manager and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risks
  • Centralize the technical information about clients and take part in the account strategy with the other members of the account team
  • Play an active role in contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peer upskilling
  • Work with the customer as a primary technical advisor, providing guidance and hands-on support on the following matters: Dataiku platform architecture (initial deployment, expansions), platform operations (upgrades), best practices related to Dataiku usage, security, data management, compute resources, ML-Ops, Monitoring, etc.
  • Help clients troubleshoot the implementation of the product within their systems.
  • Ensure that feature requests are effectively recorded and communicated to product and R&D
  • Advise client tech leaders on choices around new companion technologies and tech strategies around Dataiku
  • Support innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for example)


What you’ll need to be successful

  • 7+ years of experience in a customer-facing technical role
  • Comfort and confidence in client-facing interactions
  • Ability to work both pre and post-sale
  • Strong Linux system administration experience including networking
  • Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
  • Hands-on experience with cloud-based services like Azure, AWS and GCP
  • Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning


How you’ll stand out

  • Experience with Python
  • Some knowledge of Java, nice to have
  • Some knowledge of MLOps


What does the hiring process look like? #LI-Hybrid

Initial call with a member of our Technical Recruiting team

Video call with the TAM Director

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with TAM Team members

Final Interview with the VP Field Engineering


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