Private Cloud Ai Customer Engineer

HPE (Hewlett Packard Enterprise)

Multiple Locations, ,
Base: usd 136,500 - 276,500 in california; base: u...
Fully remote
Kubernetes gpu scheduling
Python data science libraries
Customer onboarding and support
Hewlett Packard Enterprise is a global edge-to-cloud company focused on advancing how people live and work by connecting, protecting, analyzing, and acting on data and applications

Job Summary

  • Hewlett Packard Enterprise is a global edge-to-cloud company focused on advancing how people live and work by connecting, protecting, analyzing, and acting on data and applications.
  • As a Private Cloud AI Customer Engineer, you will support customers during the initial adoption phase, providing hands-on guidance, informal training, and coordinating with multiple teams to ensure early value and success.
  • HPE offers comprehensive benefits supporting physical, financial, and emotional wellbeing, invests in personal and professional development, and fosters an inclusive culture that values varied backgrounds.

Matching Summary

Hewlett Packard Enterprise is a global edge-to-cloud company focused on advancing how people live and work by connecting, protecting, analyzing, and acting on data and applications.

Salary

Base: USD 136,500 - 276,500 in California; Base: USD 120,500 - 276,500 in Florida, Georgia, Illinois, Texas; Bonus/Equity: Variable incentives may be offered; Benefits: Comprehensive health and wellbeing benefits

Skills & Requirements

Must-have

  • Kubernetes GPU scheduling
  • Python data science libraries
  • Customer onboarding and support
  • Technical troubleshooting and problem resolution
  • Project management of complex projects
  • Collaboration with cross-functional teams

Nice-to-have

  • Empathy and proactive customer approach
  • Cloud architectures knowledge
  • DevOps and microservices fluency
  • Security-first mindset
  • Design thinking and solutions design
  • User experience (UX) awareness

Key Requirements

  • Proven project management expertise
  • Strong customer service orientation
  • Excellent verbal and written communication skills
  • Experience with Kubernetes and containerization
  • Technical troubleshooting and problem-solving skills
  • Ability to work collaboratively in teams

Work Rights

Not specified

Tailored Resume

Cover Letter