Senior Product Manager, Private Cloud AI (Hybrid)

Hewlett Packard Enterprise Development LP; Spring (TX); Hybrid; USD 174,000 - 291,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise is seeking a Senior Product Manager for Private Cloud AI to drive strategy, architecture, and execution of data infra solutions in an enterprise setting. You will partner with GTM teams and engineering to create scalable ML workflows and AI-enabled cloud products.

The role emphasizes collaboration with customers and strategic partners, with leadership responsibilities across lifecycle stages and a focus on delivering measurable business value.

Qualifications

• Bachelor's degree in computer science, engineering or related field; MBA or advanced degree preferred.
• 8+ years in HPC or AI/ML platform infrastructure and tools.
• Technical understanding of HPC/AI/ML tooling and infrastructure industry.
• Knowledge of the relevant industry.

Responsibilities

• Define and execute a product strategy to unlock AI opportunities across large organizations.
• Independently lead the end-to-end strategy and roadmap for one or more complex products or a portfolio.
• Develop value proposition, target segments, and business case to bring innovative products to market.
• Translate MRD/PRD into marketing/customer details with deep customer knowledge and market acumen.
• Guide portfolio strategy across lifecycle phases and align stakeholders.
• Collaborate across value chain partners to optimize margins and enable product success.

Skills

Product management

B2B SaaS / IaaS

HPC / AI/ML

Leadership

Cross-functional collaboration

Strategic thinking

Education

Bachelor's degree in CS or Engineering

MBA or advanced degree preferred

Tools

HPC tooling

AI/ML platforms

Job description

Hewlett Packard Enterprise is seeking a Senior Product Manager for Private Cloud AI to drive strategy, architecture, and execution of data infra solutions in an enterprise setting. You will partner with GTM teams and engineering to create scalable ML workflows and AI-enabled cloud products.

The role emphasizes collaboration with customers and strategic partners, with leadership responsibilities across lifecycle stages and a focus on delivering measurable business value.