Product Marketing Manager – AI Solutions, Higher Education, Research

HP France

Product Marketing Manager for HP's AI Solutions serving universities and research institutions. Focused on messaging, go-to-market strategy, and sales enablement for AI solutions.

Posted 6/10/2026full-timeFort Collins • California, Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $93,400 - $143,800 per yearWebsite

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Hard Skills

AIdata sciencetechnical infrastructureproduct marketingbusiness strategycontent creationpresentation developmentcompetitive analysismarket researchcampaign development

Soft Skills

analytical skillsproblem-solvingcollaborationcommunicationproactive mindsetability to learn quicklytranslating technical conceptsinsight structuringmessaging consistencycustomer feedback synthesis

Tools & Technologies

GTM strategysales enablement toolsreference architecturesplaybookspresentation softwaredata visualization toolscontent management systemsAI solutionsSaaS platformsB2B technology

Industry Keywords

higher educationresearch institutionsacademic labsemerging AI technologiesgenerative AIagentic AIacademic audiencesresearch productivitystudent accessAI workflows

About the role

Key responsibilities & impact

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 into value for academic use cases
Assist in creating vertical-specific content focused on research productivity, teaching outcomes, student access, and emerging AI workflows
Contribute to GTM planning and execution for AI solutions across higher ed and research segments
Help define target audiences 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
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

What you’ll need

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

Comp & perks

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