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Principle Product Manager, AI infrastructure

https://www.hpe.com/ Logo

Hewlett Packard Enterprise

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

148000.00 - 340500.00 USD / Year
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Job Description:

We are seeking an experienced Product Manager to bring our Private Cloud AI product to the next level. As a Principal Product Manager for PCAI, you will be at the forefront of building and integrating cutting-edge AI and data infra technologies into our private cloud products. You will have a unique opportunity to impact important technical decisions and work closely with GTM teams to bring the new generation of products to market. This role involves leading the strategy, development, execution, and evolution of data infra solutions for Private Cloud AI, HPE’s end-to-end AI solutions that enables data scientists and ML engineers to build and operate ML workflows at scale in an enterprise environment.

Job Responsibility:

  • Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations
  • Independently leads and drives the end to end strategy and operational product roadmap for one or more complex products or a product portfolio
  • Builds and delivers the value proposition, target customer segments, and business case to bring innovative and disruptive products to market for a product portfolio with respect to the whole company product portfolio
  • Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen
  • Guides key stakeholders on the portfolio strategy across all phases of the lifecycle
  • Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle

Requirements:

  • Bachelor's degree or equivalent in computer science, engineering or related field of study
  • MBA or advanced degree in computer science or engineering preferred
  • 10+ years of work experience in AI/ML platform infrastructure and tools
  • Technical understanding and knowledge of the AI/ML tooling and infrastructure industry
  • 10+ years of product management experience in B2B SaaS, with a focus on AI/ML and data infrastructure
  • Demonstrate strong technical acumen across enterprise AI and data workflows
  • Expertise in AI and ML hardware, ecosystem, and software a plus
  • Experience motivating others at all levels by creating a shared sense of vision and purpose
  • Extensive team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects
  • Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones
  • Showcase strong leadership, organizational, and execution skills, along with proven communication abilities
  • Experience working with partners and the ecosystem through the full product life cycle: inception, launch, and customer management
  • Extensive skills in cost efficient solution building, financial performance metric creation and analysis
  • Extensive business acumen and knowledge of root cause analysis and problem detection
  • Technical understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team

Nice to have:

  • Cross Domain Knowledge
  • Customer Engagement
  • Design Thinking
  • Development Fundamentals
  • DevOps
  • Go-to-Market Expertise
  • Partner Management
  • Product Lifecycle Management
  • Security-First Mindset
  • Strategic Pricing
  • Strategy Creation
  • User Experience (UX)
  • Value Creation
  • Vendor Management
What we offer:
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Additional Information:

Job Posted:
June 24, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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