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. 

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. 

What You'll Own 

Product Positioning & Messaging 

• 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. 

Go-to-Market Strategy & Execution 

• 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. 

Technical Leadership & Customer Engagement 

• 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. 

Technical Marketing & Thought Leadership 

• 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. 

Customer & Market Insights 

• 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. 

Sales & Partner Enablement 

• Build technical enablement assets including sales presentations, battlecards, competitive comparisons, ROI frameworks, reference architectures, demos, and solution playbooks. 

• Enable sales teams, channel partners, system integrators, and alliance partners to effectively position and sell HP AI solutions. 

• Support strategic customer engagements, proof-of-concept initiatives, technical evaluations, and partner programs. 

• Help field teams articulate HP's differentiated value in AI development, inference, and agentic workflows. 

Cross-Functional Leadership 

• Partner closely with Product Management, Engineering, Business Development, Sales, and Marketing teams to ensure alignment on product strategy and go-to-market priorities. 

• Influence stakeholders across a highly matrixed organization to drive execution and business outcomes. 

• Act as the voice of the market while ensuring technical credibility with internal and external audiences. 

Required Qualifications 

• 8+ years of experience in Product Marketing, Product Management, Solutions Marketing, Developer Marketing, Solutions Architecture, AI Consulting, AI Engineering, or a related technical discipline. 

• Coding experience with Python, SQL, JSON, and YAML 

• Familiarity with GPU/CPU concepts, Windows and Linux environments, Docker, Git, and repeatable experiment practices. 

• Practical experience building, testing, deploying, or evaluating AI applications, copilots, agents, or machine learning solutions. 

• Experience working with open-source foundation models such as Llama, Mistral, DeepSeek, Gemma, Qwen, or similar technologies. 

• Experience with AI development frameworks and tools such as LangChain, LangGraph, Semantic Kernel, Hugging Face, Ollama, vLLM, OpenAI APIs, or comparable platforms. 

• Expert level understanding of:  

  Generative AI 

  Agentic AI 

  Retrieval-Augmented Generation (RAG) 

  Multi-Agent Systems 

  Prompt Engineering 

  Model Fine-Tuning and Optimization 

  AI Inference and Model Serving 

  Model Evaluation and Deployment 

  AI Orchestration Frameworks 

• Strong analytical and data-driven decision-making skills. 

• Knowledge of modern AI development workflows, developer tools, and enterprise AI deployment patterns. 

• Demonstrated ability to present complex technical concepts to customers, executives, developers, and engineering audiences. 

• Experience delivering technical workshops, customer briefings, enablement sessions, or conference presentations. 

• Ability to provide architectural guidance and consult with customers on AI solution design, model selection, deployment strategies, and inference optimization. 

• Proven track record launching and driving adoption of complex B2B technology solutions. 

• Excellent verbal, written, and presentation skills across both technical and executive audiences.