Product Marketing Manager HPE Private Cloud

Technical Product Marketing Manager This role is designed as Hybrid, with an expectation to work on average 2 days per week from an HPE office. Job Description As Technical Product Marketing Manager, you will develop product marketing strategy and technical content execution for HPE Private Cloud AI and AI workloads running in HPE private Cloud environments. You will build high‑impact technical content—including demos, videos, labs, and how‑to sessions—to clarify AI workloads, infrastructure solutions, data modernization, and emerging AI trends such as generative, agentic, and physical AI. The role requires a working understanding of GPU systems, storage and networking dependencies, AI solutions and software, and real‑time data pipelines. You will translate technical materials into clear implications for customers and sellers, and partner closely with senior leadership, product management, sales, and go‑to‑market teams. Responsibilities Technical product marketing for HPE Private Cloud AI, including demos, whitepapers, blogs, educational how‑to content, and thought leadership on AI workloads, infrastructure solutions, data modernization, data science, and AI technology trends. Define and articulate HPE’s point of view on speed to AI value, data protection and modernization, AI goals and workload optimization, proven frameworks, and innovative AI use cases across industries. Create differentiated messaging and technical content that connects HPE Private Cloud AI to real customer outcomes. Partner closely with product management to ensure marketing is technically accurate, aligned with roadmaps, and integrated into platform narratives and sales motions. Influence industry analysts, press, and influencers through technical briefings, thought leadership, and consistent positioning, in partnership with corporate AR and PR teams. Act as a subject‑matter authority and trusted advisor to senior leadership on AI workloads, trends, and technologies. Review, edit, and standardize language across documents, including campaigns, PR releases, press requests, third‑party content, sales content, digital marketing, and geo‑marketing. Qualifications Bachelor’s degree in Marketing, Engineering, Computer Science, or a related field. 8+ years of product marketing and/or product management/engineering experience. Experience and technical understanding of enterprise AI, GPU systems, and current and developing AI workloads. Proven track record of building compelling narratives and content for both technical and executive audiences. Demonstrated experience positioning complex products in competitive, fast‑moving markets. Deep understanding of: current AI market landscape GPU systems and their storage, networking, and software dependencies AI workloads, including real‑time inference, RAG, agentic, and physical AI Real‑time data pipelines Cloud deployment options and strategies, including hybrid and air‑gapped Ability and flexibility to evolve quickly as the AI market pivots and develops. Exceptional written and verbal communication skills, including executive‑level storytelling and presentations. Hands‑on ability to create high‑quality marketing assets such as product demos, technical writing, and presentations. Strong analytical skills and comfort using data to inform positioning and go‑to‑market decisions. Creativity and intellectual curiosity to break through market noise and earn attention. Strong project management, influencing, and cross‑functional collaboration skills. Comfort with performance, scale, and operational concepts to explain full‑stack solutions, DIY solutions, and cloud solutions. Accountability, action planning, active learning, active listening, bias awareness, business planning, coaching, commercial acumen, computer literacy, critical thinking, customer insights, data analysis, design thinking, empathy, follow‑through, growth mindset, and long‑term planning. Complexity High. This role operates in a strategically critical and rapidly evolving market, engaging senior leaders, cross‑functional teams, analysts, and customers to define and defend HPE’s position as a leader in enterprise AI and time to AI value. Job Level Master Compensation Salary ranges for this position are: United States of America – Annual Salary USD 135,500 – 258,500 in Massachusetts; 135,500 – 275,000 in California; 119,500 – 275,000 in North Carolina & Texas. Variable incentives may also be offered. Benefits We offer a comprehensive suite of benefits that supports physical, financial, and emotional wellbeing, as well as personal and professional development programs. Legal and EEO Statements HPE is an Equal Employment Opportunity, Veterans, Disabled, and LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions are based on qualifications, merit, and business need. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring consideration of qualified applicants with criminal histories. HPE is a EEO Protected Veteran/Individual with Disabilities. No Fees Notice & Recruitment Fraud Disclaimer HPE and its authorized recruitment agencies will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. Candidates should verify any agency claiming to work with HPE for recruitment. #J-18808-Ljbffr Hewlett Packard Enterprise