Director - Product Ownership for Agentic AI PCs

HP•Austin, TX

9d•$182,750 - $320,250

About The Position

Lead the Product Owner organization responsible for translating customer intent into useful, trusted agentic experiences on HP PCs and edge devices. Own persona definition, experience design, feature trade-offs, and adoption success criteria. Guide product choices across devices, operating systems, AI runtimes, and connected services to deliver measurable customer value under real device constraints. The organization advances HP’s AI roadmap through capabilities deeply integrated into HP PCs and edge devices. Define experience strategy and a prioritized portfolio of customer problems, translating intelligence focus areas into coherent use cases and measurable outcomes. Lead research, journey design, and prototyping; specify agent behavior, context use, consent, human confirmation, recovery, accessibility, and continuity across devices. Convert experience goals into device acceptance criteria covering responsiveness, battery impact, memory use, offline behavior, and privacy, and agree local-versus-cloud execution trade-offs with engineering. Develop Product Owners who maintain clear priorities, testable requirements, and sprint goals with agile squads. Resolve feature trade-offs using customer evidence and platform readiness. Evaluate working increments on representative PCs and edge devices, accept experiences against agreed criteria, and drive changes when task completion, trust, or usability falls short. Define activation, sustained usage, task success, and customer satisfaction measures, and partner with Portfolio Operations and Divisions on pilots and feedback that inform priorities. Hire and develop product leaders, manage capacity and investment proposals, build succession plans, and represent product decisions and unresolved trade-offs to senior executives. The role is full-time. The annual pay range is $182,750 to $320,250 USD, with additional bonus and/or equity opportunities for U.S. candidates. Pay varies by work location, job-related knowledge, skills, and experience.

Requirements

Typically 15 or more years in technology product management, product ownership, or related technical roles.
At least 7 years leading teams, including experience managing managers.
Demonstrated ownership of commercially shipped PC, device, or embedded-system experiences, with evidence of adoption or improved customer outcomes after launch.
Experience bringing AI or ML capabilities into production products, with practical understanding of agentic workflows, tool use, contextual behavior, and evaluation of probabilistic outputs.
Ability to make informed experience trade-offs involving CPU, GPU, or NPU capability, OS integration, memory, latency, power, privacy, and intermittent connectivity.
Success leading discovery and iterative delivery across product, design, and systems engineering, with clear acceptance criteria and evidence-based prioritization.
Ability to build global leadership teams, manage budgets and capacity, and influence executives.
Degree in engineering, computer science, HCI, or a related discipline, or equivalent relevant experience.

Nice To Haves

Experience with Windows PCs, connected-device ecosystems, enterprise endpoint requirements, or collaboration with OEM, silicon, and OS partners.
Experience with on-device generative AI, multimodal interaction, personalization, or coordinated experiences spanning local devices and cloud services.
Exposure to device-linked subscriptions, feature packaging, and enterprise or consumer adoption programs.

Responsibilities

Define experience strategy and a prioritized portfolio of customer problems, translating intelligence focus areas into use cases and measurable outcomes.
Lead customer research, journey design, and prototyping; specify agent behavior, context use, consent, human confirmation, recovery, accessibility, and cross-device continuity.
Convert experience goals into device acceptance criteria for responsiveness, battery impact, memory use, offline behavior, and privacy; agree local-versus-cloud execution trade-offs with engineering.
Develop Product Owners responsible for clear priorities, testable requirements, and sprint goals with agile squads.
Resolve feature trade-offs using customer evidence and platform readiness.
Evaluate working increments on representative PCs and edge devices, accept experiences against criteria, and drive improvements when task completion, trust, or usability falls short.
Define activation, sustained usage, task success, and customer satisfaction measures; partner on pilots and use adoption feedback to adjust priorities.
Hire and develop product leaders, manage capacity and investment proposals, and build succession plans.
Represent product decisions and unresolved trade-offs to senior executives.