Principal Technical Program Manager, Artificial Intelligence
About HP
At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. If you’re looking to join a company that allows you to connect with a network of professionals eager to support you in doing your best work, we want to talk to you. Our legendary culture guides every employee toward success—fostering collaboration and driving innovation.
Operating in over 170 countries, HP is always creating new services, products, and capabilities giving you more opportunities to advance your career. Here, innovation is the key to professional development and career mobility.
When you join HP, you’re joining a company that believes every voice matters and that we all deserve a seat at the table. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves. You will be part of a global laboratory where different perspectives and experiences will help you solve problems in new ways. This is where you can build a long and wide-ranging career.
About The Role
We are looking for an experienced Technical AI Program Manager to drive technical strategy, program execution, and executive communication for complex engineering initiatives. As part of the PS Engineering, Integrated Solutions & Ecosystem team, you will connect engineering, product, and business teams, translating topics such as agentic AI, distributed computing, and edge AI infrastructure into clear strategic roadmaps and compelling narratives. You will explain business implications, ecosystem differentiation, and customer value while aligning stakeholders and advancing partner co-innovation initiatives.
What You Might Do
- Create strategic engineering presentations, executive roadmaps, and technical narratives that connect architectural capabilities to business and customer value.
- Partner with R&D, engineering, and product teams to translate hardware proof-of-concept results, inference performance, and distributed computing metrics into actionable insights.
- Develop communication frameworks, program dashboards, and executive briefs that connect engineering milestones with business priorities.
- Coordinate cross-functional workstreams across global engineering teams, business units, and ecosystem partners.
- Track milestones, dependencies, strategic risks, and roadmap trade-offs; communicate progress and decisions needed to executive leadership.
- Collaborate with business and marketing leaders to articulate customer value, competitive positioning, and ecosystem differentiation.
- Coordinate communication with external partners and vendors, ensuring technical accuracy and consistent messaging.
- Improve processes for communicating engineering strategy, product capabilities, and architectural direction.
Essential Qualifications
- 10+ years of relevant experience in technical program management, engineering strategy, or a related field.
- Bachelor’s or master’s degree in engineering, computer science, information technology, or an equivalent technical discipline.
- Certifications or formal training in product marketing, technical writing, or strategic communications.
- Strong technical understanding of generative AI, agentic AI, on-device AI, and emerging industry trends.
- Demonstrated ability to translate complex engineering systems and architectures into clear executive presentations and customer value narratives.
- Experience managing cross-functional programs, coordinating matrix teams, tracking milestones, and communicating risks and trade-offs.
- Strong business acumen, including understanding customer needs, market differentiation, competitive positioning, and total cost of ownership.
- Advanced written, verbal, and visual communication skills in English, including proficiency with presentation and data visualization tools.
- Ability to influence without authority and collaborate across organizational, cultural, and time zone boundaries.
Preferred Qualifications
- Experience supporting ecosystem partnerships, co-innovation initiatives, or hardware-software engineering programs.