Principal Technical Product Marketing Manager, AI Solutions

HP is seeking a Principal Technical Product Marketing Manager to help define, position, and accelerate adoption of its AI portfolio, including HP ZGX AI Stations and Agentic AI solutions
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This role is ideal for someone who combines deep technical expertise with strong product marketing fundamentals. You should be equally comfortable discussing model architectures, inference optimization, agent frameworks, open-source AI ecosystems, and developer workflows with engineers as you are translating those capabilities into compelling business value for customers, partners, and executive stakeholders.

You will serve as the bridge between Product Management, Engineering, Sales, and Customers, helping shape product strategy, drive successful launches, and establish HP as a leader in the rapidly evolving AI market. Success in this role requires hands-on experience with AI development workflows, coding, open-source models, and enterprise AI deployments, along with the ability to convert highly technical differentiation into measurable business outcomes.

• Develop differentiated positioning, messaging, and value propositions for HP ZGX AI Stations, Agentic AI solutions, and related AI offerings.
• Translate complex technical capabilities into clear, compelling customer value for developers, AI practitioners, IT leaders, and executive buyers.
• Build solution narratives around local AI development, AI inference, agentic workflows, enterprise AI adoption, and hybrid AI deployments.
• Develop audience-specific messaging for developers, data scientists, IT decision makers, business leaders, and channel partners.

• Define and execute go-to-market strategies for new AI solutions, platforms, and category-defining innovations.
• Partner with Product Management and Engineering to bring AI solutions from concept through launch and broad market adoption.
• Develop launch plans, readiness programs, customer-facing content, and market activation strategies that drive pipeline growth and customer adoption.
• Identify target industries, use cases, buyer personas, and sales motions to accelerate market penetration.

• Serve as a trusted technical advisor to customers, partners, sales teams, and internal stakeholders on AI Stations, AI development environments, inference workloads, and Agentic AI solutions.
• Deliver compelling customer presentations, executive briefings, technical workshops, demonstrations, and architecture discussions tailored to both business and technical audiences.
• Lead customer conversations on AI architectures, open-source model adoption, AI development workflows, inference optimization, and agentic AI deployment strategies.
• Provide technical guidance and best-practice recommendations to customers evaluating AI solutions and deploying AI applications at scale.
• Support strategic customer engagements, proof-of-concept initiatives, benchmark reviews, and technical validation efforts.
• Partner with Product Management and Engineering teams to influence roadmap priorities based on customer and market feedback.
• Mentor junior team members and contribute to the technical development of peers through coaching, knowledge sharing, and best-practice guidance.
• Develop and deliver technical training programs for sales teams, partners, customers, and internal stakeholders to increase technical readiness and accelerate adoption.
• Act as a subject matter expert on Generative AI, Agentic AI, open-source models, inference, model serving, and enterprise AI deployment patterns.

• Create technical content including white papers, solution briefs, architecture guides, benchmark summaries, competitive analyses, customer presentations, blogs, webinars, and demos.
• Develop use cases and solution narratives demonstrating how AI Stations and Agentic AI platforms enable organizations to build, deploy, and scale AI applications and agents locally and within enterprise environments.
• Represent HP at industry events, customer briefings, webinars, workshops, partner engagements, and technical conferences.
• Establish HP's point of view on emerging AI trends, enterprise AI adoption, and agentic AI technologies.

• Engage directly with AI developers, data scientists, machine learning engineers, solution architects, and enterprise customers to understand market needs and technical requirements.
• Lead Voice of Customer initiatives and gather competitive intelligence to influence product strategy and roadmap priorities.
• Monitor trends across Agentic AI, AI infrastructure, foundation models, inference technologies, and enterprise AI adoption.
• Develop actionable market insights that help shape positioning, product direction, and go-to-market priorities.

• Build technical enablement assets including sales presentations, battle cards, competitive comparisons, ROI frameworks, reference architectures, demos,…