Technical Product Manager: On-Device AI & Power

HP

Austin (TX)

On-site

USD 147,000 - 231,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
Employee assistance
Flexible spending account
Life insurance
Parental leave
Holidays
Vacation & sick leave

Job summary

HP seeks a Technical Software Product Manager in Austin to lead strategy, design, and execution for desktop power optimization, battery health, and performance tuning. You will define roadmaps, translate silicon telemetry into dashboards, and balance automated AI tuning with user control.

Responsibilities include PRD creation for local ML models, defining AI triggers, and ensuring on-device inference remains quiet and efficient while maintaining user privacy guardrails.

Qualifications

  • Bachelor’s degree in CS or CE or equivalent.
  • 5+ years shipping consumer or enterprise desktop software.
  • Experience with Windows system utilities or performance apps.
  • Experience deploying on-device ML models or small language models.
  • Knowledge of OS threading, background daemons, and RAM management.

Responsibilities

  • Define the product vision and multi-year roadmap for the desktop optimization suite.
  • Translate telemetry into intuitive UI dashboards and workflows.
  • Oversee AI agent features and real-time on-device inference while balancing performance and user experience.

Skills

On-device ML
Performance tuning
OS thread scheduling
AI/ML basics

Education

Bachelor's degree in CS or CE

Tools

DirectML
ONNX Runtime
Windows Copilot Runtime

Job description

HP seeks a Technical Software Product Manager in Austin to lead strategy, design, and execution for desktop power optimization, battery health, and performance tuning. You will define roadmaps, translate silicon telemetry into dashboards, and balance automated AI tuning with user control.

Responsibilities include PRD creation for local ML models, defining AI triggers, and ensuring on-device inference remains quiet and efficient while maintaining user privacy guardrails.

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