Senior Product Manager

HPE (Hewlett Packard Enterprise)

Multiple Locations, , US
Base: usd 126,500 - 240,500 in colorado; base: usd...
Hybrid
Ai/ml platform infrastructure expertise
Product management in b2b saas
Technical acumen in ai and data workflows
Hewlett Packard Enterprise is a global edge-to-cloud company advancing how people live and work by connecting, protecting, analyzing, and acting on data and applications wherever they reside

Job Summary

  • Hewlett Packard Enterprise is a global edge-to-cloud company advancing how people live and work by connecting, protecting, analyzing, and acting on data and applications wherever they reside.
  • The Senior Product Manager will lead the strategy and operational roadmap for Private Cloud AI products, integrating cutting-edge AI and data infrastructure technologies to enable scalable ML workflows in enterprise environments.
  • HPE offers comprehensive benefits supporting physical, financial, and emotional wellbeing, invests in personal and professional development, and fosters an inclusive culture valuing diverse backgrounds.

Matching Summary

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

Salary

Base: USD 126,500 - 240,500 in Colorado; Base: USD 136,500 - 260,500 in Massachusetts; Base: USD 120,500 - 276,500 in Texas; Bonus/Equity: Variable incentives may be offered; Benefits: Comprehensive health and wellbeing benefits

Skills & Requirements

Must-have

  • AI/ML platform infrastructure expertise
  • Product management in B2B SaaS
  • Technical acumen in AI and data workflows
  • Cross-functional team leadership
  • Go-to-market strategy execution
  • Private cloud AI product experience

Nice-to-have

  • Mentoring and team leadership skills
  • Financial performance analysis
  • Customer engagement and design thinking
  • Security-first mindset
  • Strategic pricing and vendor management
  • Development fundamentals and DevOps

Key Requirements

  • Bachelor's degree in computer science or engineering
  • MBA or advanced degree preferred
  • 10+ years AI/ML platform infrastructure experience
  • 10+ years product management experience
  • Experience with AI/ML tooling and infrastructure industry

Work Rights

Not specified

Tailored Resume

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