below marketmost similar roles pay hereabove market
This role pays more than
69%
of similar roles. Most pay
$193,935–$266,475
— the blue band above.
At the midpoint, this role pays about
$252k
versus about
$230k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
129 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 103 roles with salary data.
JOB TITLE: Director - Product Ownership for Agentic AI PCs
The Director - Product Ownership for Agentic AI PCs leads the Product Owner organization to translate customer intent into trusted agentic experiences on HP PCs and edge devices. This leader defines experience strategies, manages persona definitions, and oversees feature trade-offs across devices, operating systems, and AI runtimes. Daily responsibilities include leading research, journey design, and prototyping while managing backlogs for agile squads. The role requires converting experience goals into technical acceptance criteria for battery impact, memory use, and privacy. Key skills include managing teams, understanding agentic workflows, and evaluating probabilistic outputs. The position addresses the technical challenge of integrating on-device generative AI, multimodal interaction, and personalization while balancing CPU, GPU, and NPU capabilities with local versus cloud execution trade-offs in a connected-device ecosystem.
Define the experience strategy and prioritize a portfolio of customer problems for agentic AI experiences.
Lead research, journey design, and prototyping to specify agent behavior, context use, and privacy.
Convert experience goals into technical acceptance criteria for battery, memory, and offline behavior.
Manage the product backlog by developing product owners who maintain clear priorities and sprint goals.
Evaluate working software increments on hardware to ensure they meet trust, usability, and performance standards.
Define and track metrics for activation, sustained usage, task success, and customer satisfaction.
Hire and develop product leaders while managing capacity, investment proposals, and succession plans.
Represent product decisions and technical trade-offs to senior executives.
What we're looking for
Typically 15 or more years in technology product management, product ownership, or related technical roles.
At least 7 years of experience leading teams and experience managing managers.
Demonstrated ownership of commercially shipped PC, device, or embedded-system experiences with evidence of adoption or customer-outcome improvement.
Experience bringing AI or ML capabilities into production products, including practical understanding of agentic workflows and probabilistic outputs.
Ability to make experience trade-offs involving CPU, GPU, or NPU capability, OS integration, memory, latency, power, privacy, and connectivity.
Success leading discovery and iterative delivery across product, design, and systems engineering with 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.
Experience with Windows PCs, connected-device ecosystems, enterprise endpoint requirements, or collaboration with OEM, silicon, and OS partners (preferred).
Experience with on-device generative AI, multimodal interaction, personalization, or coordinated experiences spanning local devices and cloud services (preferred).
Exposure to device-linked subscriptions, feature packaging, and enterprise or consumer adoption programs (preferred).
Agentic AI
On-device Inference
Systems Architecture
Windows
Linux
Firmware
GPU
NPU
CPU
Model Compression
Quantization
Hardware-in-the-loop
Interprocess Communication
Telemetry
Observability
Silicon SDKs
Performance Profiling
Artificial Intelligence
Agile
APIs
Workflow Automation
Data Governance
Cybersecurity
Human-Centered Design
User Research
Journey Mapping
Process Mapping
Service Design
Product Roadmap
Backlog Refinement
Sprint Planning
Release Planning
System Integrations
Enterprise Search
Data Flows
ONNX Runtime
PyTorch
Generative AI
LLMs
Agentic AI
RAG
TensorRT
OpenVINO
CoreML
RoCm
MLIR
Quantization
Model Conversion
Windows ML
Hugging Face
Graph Optimization
Kernel Fusion
NPU
GPU
CPU
Agentic AI
LLM Inference
AI Runtimes
Systems Engineering
Firmware
Silicon
CPU
GPU
NPU
OS
Zero Trust
TPM
Secure Boot
SDKs
Telemetry
Hardware-Rooted Trust