Senior Product Manager

Hewlett Packard Enterprise

. Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations .

Posted 10/6/2026full-timeUnited StatesSenior💰 $126,500 - $290,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing product strategies for AI opportunities, with a strong focus on HPC and AI/ML platform infrastructure. Proven ability to lead cross-functional teams, manage product life cycles, and optimize financial performance metrics.

Highest-signal resume keywords

Product Management Experience in B2B SaaS or IaaSHPC or AI/ML Platform Infrastructure KnowledgeStrong Technical Acumen in Enterprise AI and Data WorkflowsLeadership and Team Mentoring SkillsFinancial Performance Metric Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Strategy DevelopmentMarket Requirements SynthesisProduct Roadmap ManagementCost-Efficient Solution BuildingFinancial AnalysisAI/ML Tooling and InfrastructureHPC Ecosystem KnowledgeData Infrastructure SolutionsProduct Life Cycle ManagementTechnical Acumen

Soft Skills

LeadershipOrganizational SkillsExecution SkillsCommunication SkillsMotivational Skills

Certifications & Qualifications

Bachelor's Degree in Computer Science or EngineeringMBA or Advanced Degree Preferred

Industry Keywords

AI OpportunitiesHPCB2B SaaSIaaSData WorkflowsProduct DevelopmentGo-To-Market StrategyMarket Share ManagementStakeholder CollaborationEcosystem Partnerships

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations
Lead and drive the end-to-end strategy and operational product roadmap for one or more complex products or a product portfolio
Build and deliver the value proposition, target customer segments, and business case for innovative products
Manage product configuration mix, revenue and margins, financials, and market share
Synthesize market requirements (MRD/PRD) into marketing and customer details using customer knowledge and business, financial, and industry acumen
Guide stakeholders on portfolio strategy across planning, development, launch, management, and exit
Align goals and collaborate across value-chain partners to optimize margins and product success
Collaborate with engineering on product development, supply chain on SKUs and inventory, and marketing on pricing and go-to-market strategy
Work closely with engineering, design, partnerships, research, and go-to-market teams
Bring HPE’s Private Cloud AI product and data infrastructure solutions to market

Requirements

What you’ll need

Bachelor's degree or equivalent in computer science, engineering or related field of study
8+ years of work experience in HPC or AI/ML platform infrastructure and tools
8+ years of product management experience in B2B SaaS or IaaS, focused on HPC or AI/ML and data infrastructure
Technical understanding of the HPC or AI/ML tooling and infrastructure industry
Technical understanding of the relevant industry
Strong technical acumen across enterprise AI and data workflows
Experience in HPC or AI and ML hardware, ecosystem, and software is a plus
Experience motivating others at all levels by creating a shared sense of vision and purpose
Ability to cross-functionally drive and influence work through others, mentor, and lead teams on complex, ambiguous projects
Proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide key milestones
Strong leadership, organizational, execution, and communication skills
Experience working with partners and the ecosystem through the full product life cycle
Extensive skills in cost-efficient solution building and financial performance metric creation and analysis
MBA or advanced degree in computer science or engineering preferred

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace
Reasonable accommodation during the application or interview process for applicants with disabilities
Variable incentives may also be offered