Product Marketing Manager – AI Solutions, Higher Education & Research

Role Overview

• Support the positioning, go‑to‑market (GTM) strategy, and sales enablement for HP’s AI solutions serving universities, research institutions, and academic labs
• Help bring AI solutions to market by translating technical capabilities into clear, compelling messaging for academic audiences—including faculty, researchers, and IT teams
• Contribute to how HP enables AI training, inference, and emerging agentic AI workflows across research, instruction, and student access
• Work closely with cross-functional teams across Product, Sales, and Partnerships to develop content, support launches, and execute GTM programs aligned to higher education and research priorities
• Support development of messaging for HP AI solutions tailored to higher education and research customers
• Translate product capabilities (e.g., GPUs, workstations, AI software, agentic AI frameworks, on-prem compute) into value for academic use cases
• Assist in creating vertical-specific content focused on research productivity, teaching outcomes, student access, and emerging AI workflows such as multi-step and agent-driven applications
• Contribute to GTM planning and execution for AI solutions across higher ed and research segments
• Help define target audiences (e.g., faculty, researchers, IT) and support campaign development
• Collaborate with cross-functional teams to ensure messaging consistency across campaigns and launches
• Develop and maintain sales materials including presentations, one-pagers, and solution overviews
• Support creation of enablement content such as playbooks, reference architectures, and competitive comparisons
• Help articulate the value of local and hybrid AI environments for agentic and data-intensive workloads, including cost control and data ownership
• Work with partners and internal teams to ensure alignment on solution messaging and positioning
• Conduct research on higher-ed and research market trends, including the adoption of AI and emerging agent-based applications
• Support voice-of-customer activities such as interviews and feedback synthesis
• Translate insights into recommendations for messaging and campaign improvements
• Support product and solution launches by coordinating assets, timelines, and stakeholder inputs
• Help ensure readiness across marketing and sales teams through content and communication
• Track performance of GTM activities and capture learnings for future improvements

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Internship or project experience in product marketing, marketing, business strategy, or a related field
• Foundational understanding of AI, data science, or technical infrastructure concepts (coursework, projects, or internships welcome), including awareness of emerging trends such as generative AI and agentic AI
• Demonstrated ability to translate technical concepts into clear, audience-friendly messaging through presentations, writing, or academic work
• Strong analytical and problem-solving skills, with the ability to structure and communicate insights clearly
• Highly collaborative, with a proactive mindset and ability to learn quickly in a fast-paced environment
• Internship experience in B2B technology, AI, SaaS, or hardware-related environments (preferred)
• Hands-on exposure to AI or data science through coursework, research, or personal projects (e.g., model development, datasets, experimentation, or simple agent-based workflows) (preferred)
• Experience creating marketing, technical, or sales-related content (presentations, reports, solution overviews, etc.) (preferred)
• Interest in higher education, research environments, or emerging AI technologies (preferred)

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave