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Senior Product Manager
Hewlett Packard Enterprise. Define and execute product strategy to unlock AI opportunities across large organizations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing product strategy for AI opportunities, with a strong focus on HPC and AI/ML platform infrastructure. Proven ability to lead cross-functional teams, drive product vision, and optimize product success through collaboration and strategic decision-making.
Highest-signal resume keywords
Product Management Experience in B2B SaaS or IaaSHPC or AI/ML Platform Infrastructure KnowledgeCross-Functional Team LeadershipTechnical Acumen in Enterprise AI and Data WorkflowsCost-Efficient Solution Building
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Strategy DevelopmentMarket Requirements SynthesisValue Proposition CreationTechnical Decision MakingProduct Lifecycle ManagementFinancial Performance Metric AnalysisAI/ML Tooling and InfrastructureEnterprise Product DevelopmentCustomer SegmentationOperational Roadmap Execution
Soft Skills
LeadershipOrganizational SkillsExecution SkillsCommunication SkillsMentoring
Certifications & Qualifications
Bachelor's Degree in Computer Science or EngineeringMBA or Advanced Degree Preferred
Industry Keywords
HPCAI/MLB2B SaaSIaaSData InfrastructureGo-To-Market StrategyStakeholder ManagementValue-Chain CollaborationProduct RoadmapEcosystem Partnerships
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define and execute product strategy to unlock AI opportunities across large organizations
- Lead end-to-end strategy and operational product roadmaps for complex products or portfolios
- Build and deliver value propositions, target customer segments, and business cases for innovative products
- Synthesize market requirements into marketing and customer details using customer and industry knowledge
- 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
- Partner with engineering on product development, supply chain on SKUs and inventory, and marketing on pricing and go-to-market plans
- Make technical decisions and collaborate with engineering, design, partnerships, research, and GTM teams to evolve Private Cloud AI data infrastructure solutions
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 HPC or AI/ML tooling and infrastructure
- Strong technical acumen across enterprise AI and data workflows
- Experience building enterprise products and working with strategic customers and GTM teams
- Experience working with engineering, design, partnerships, research, and GTM teams
- Experience motivating others and creating shared vision and purpose
- Ability to drive work cross-functionally, mentor, and lead teams on complex, ambiguous projects
- Experience driving product vision, defining requirements, and guiding teams through milestones
- Strong leadership, organizational, execution, and communication skills
- Experience working with partners and the ecosystem through the full product lifecycle
- 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 benefits supporting physical, financial, and emotional wellbeing
- Personal and professional development programs
- Flexible work arrangements to manage work and personal needs
- Workplace accommodations for applicants with disabilities