Ecosystem Technology Strategy Principal
Listed on 2026-07-01
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IT/Tech
Systems Engineer, IT Consultant, AI Engineer (Applied/Software), Cybersecurity
Ecosystem Technology Strategy Principal
HP sits at the center of one of the most consequential technology transitions in a generation. The PC is being redefined by AI silicon, new OS platform capabilities, and frontier AI models, and the companies building those technologies are HP's most important alliance partners:
Intel, AMD, Qualcomm, Nvidia, Microsoft, Google.
HP's ability to translate and leverage what those partners are building into differentiated HP products and solutions is one of the biggest drivers of how HP will win in the next cycle. The candidate will play an important role at the intersection of technical teams within HP and with the partner organizations. The candidate will have the technical depth to engage partner architects as peers, the solution architecture instinct to see how partner IP becomes HP differentiation, and the internal credibility to drive those paths through to Engineering.
The person in this role will define and lead how HP systematically converts partner technology into HP product advantage.
Engage partner organizations at a technical peer level
- Lead technical conversations with engineers, architects, and researchers at partner organizations, going beyond commercial briefings to understand technology direction, IP, and roadmap intent
- Evaluate partner technologies and IP from a solution architecture perspective: how they work, what they enable, where their limitations are, and how they could be combined or applied to create HP differentiation
- Develop trusted relationships with technical leaders across silicon, OS, and AI partner organizations that generate ongoing technology intelligence and create pathways for deep collaboration
Architect the path from partner technology to HP differentiation
- Map specific partner technologies and IP to HP product and solution opportunities, including integration work, dependencies, and collaboration model
- Develop deep working knowledge of HP's strategy across core businesses and newer capability areas, and apply it to identify where partner technology creates the highest-leverage opportunities
- Produce differentiation assessments that HP business, product, engineering and alliance teams can act on.
Drive cross-functional execution
- Partner with HP's Divisions, HW Engineering and SW Engineering organizations on product and solution roadmaps, technology evaluation, and feature incubation
- Align with HP's Technology & Innovation Organization on scouting priorities and R&D agenda
- Collaborate with HP's Corporate Strategy organization to ensure your work informs, and is informed by, their technology scouting efforts
- Engage with HP division teams to connect partner technology to their differentiation needs
- Support Alliance Leads with the technical depth that strengthens engagement across all strategy layers
Communicate with range
- Translate complex technical topics into business-legible assessments for senior audiences
- Translate business context into technically actionable direction for engineering audiences
- Deliver periodic landscape briefings and time-sensitive opportunity alerts to leadership
This role is intentionally hybrid. Candidates who have spent their careers purely in engineering, purely in business development, or purely in strategy will find parts of this role unfamiliar. The person who fits has operated across those boundaries and developed instincts in each.
Required
- 15+ years of experience combining technical depth (engineering, architecture, or applied research) with outward-facing work (partner/alliance management, business development, solutions architecture, or technology strategy)
- Demonstrated ability to hold peer-level technical conversations with silicon architects, OS platform engineers, or AI researchers, and the judgment to know what to ask
- Solution architecture instincts: ability to take a partner technology and reason through how it would apply to a real product or solution, what it enables, and what the integration path looks like
- Deep familiarity with the AI technology landscape, including silicon (CPU/NPU/GPU, accelerators/TPUs, edge AI processors), operating systems (Windows, Android, Linux, etc.), AI software platforms and frameworks, large language models and frontier AI, and AI-at-the-edge architectures
- Understanding of compute architectures and ecosystems across client, edge, data center and cloud, including how silicon, OS, and AI model technologies translate into product, service and solution differentiation
- Track record of driving outcomes cross-functionally without direct authority, across technology, engineering, strategy, product, and business development
- Structured thinking and communication discipline: you build organized, durable intelligence that others can use, not one-off insights
Preferred
- Experience inside or directly alongside a semiconductor, OS platform, or AI model company; you understand how those organizations think and how their technical teams operate
- Familiarity with technology licensing, IP evaluation, or joint…
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