Principle product manager, AI infrastructure

Hewlett Packard Enterprise Development LP; San Jose (CA); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading company in edge-to-cloud solutions is seeking a Principal Product Manager for AI Infrastructure. This remote role involves strategizing and executing product development for private cloud AI offerings, influencing key technical decisions, and collaborating with various teams to drive innovation. The ideal candidate will have extensive experience in AI/ML and product management, focusing on delivering value to large organizations.

Benefits

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Qualifications

• 10+ years of experience in AI/ML platform infrastructure and tools.
• Extensive product management experience in B2B SaaS.
• Strong technical understanding of AI/ML tooling and infrastructure.

Responsibilities

• Define and execute a product strategy for AI opportunities.
• Lead end-to-end strategy for complex products.
• Build value propositions and business cases for innovative products.

Skills

Product Management

AI/ML Tools

Technical Understanding

Leadership

Communication

Education

Bachelor's degree in Computer Science or Engineering

MBA or advanced degree

Job description

Principle Product Manager, AI Infrastructure

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We value varied backgrounds and support work-life flexibility. We make bold moves, together, and are a force for good. If you are looking to grow your career, our culture will embrace you. Open up opportunities with HPE.

Job Description:

About the role:

We are seeking an experienced Product Manager to elevate our Private Cloud AI product. As a Principal Product Manager for PCAI, you will lead the development and integration of cutting-edge AI and data infrastructure technologies into our private cloud offerings. You will influence key technical decisions and collaborate closely with GTM teams to bring innovative products to market. This role involves strategizing, developing, executing, and evolving data infrastructure solutions for Private Cloud AI, enabling data scientists and ML engineers to build and operate ML workflows at scale in an enterprise environment.

The ideal candidate has experience building enterprise products and is passionate about working with strategic customers and our Go-to-Market team. You will work closely with engineering, design, partnerships, research, and GTM teams.

Responsibilities:

• Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations.
• Lead end-to-end strategy and operational roadmap for one or more complex products or a product portfolio.
• Build and deliver value propositions, target customer segments, and business cases to bring innovative products to market, considering the entire product portfolio.
• Synthesize market requirements into detailed customer and market insights through deep customer knowledge and industry acumen.
• Guide stakeholders on portfolio strategy throughout all lifecycle phases.
• Create and drive goal alignment, collaborating across product value chains to optimize margins and enable product success (including engineering, supply chain, marketing, and pricing strategies).

Education and Experience:

• Bachelor's degree or equivalent in computer science, engineering, or related field; MBA or advanced degree preferred.
• 10+ years of experience in AI/ML platform infrastructure and tools.

Knowledge and Skills:

• Extensive product management experience in B2B SaaS, focusing on AI/ML and data infrastructure.
• Strong technical understanding of AI/ML tooling and infrastructure industry.
• Proven leadership, organizational, and communication skills.
• Experience working with partners and ecosystems through the full product lifecycle.
• Financial acumen, cost-effective solution building, and problem analysis skills.
• Technical training capabilities and industry knowledge.

Additional Skills:

Cross-domain knowledge, customer engagement, design thinking, development fundamentals, DevOps, GTM expertise, partner management, product lifecycle management, security mindset, strategic pricing, UX, value creation, vendor management.

What We Offer:

Health & Wellbeing, Personal & Professional Development, Unconditional Inclusion, and more. We support your career growth and value diversity.

Stay Connected:

Follow @HPECareers on Instagram for updates on people, culture, and technology at HPE.