Technical Software Product Manager - PC Power/Performance and On-Device experiences
- Compensation
- Not disclosed
- Location
- Austin, Texas, United States of America
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Product
- Posted
Skills
Must have
- Education: Bachelor’s degree in computer science, Computer Engineering, or equivalent.
- Product Experience: Minimum 5 years shipping consumer or enterprise desktop software.
- Domain Expertise: Proven track record with Windows system utilities or performance apps.
- AI Background: Practical experience deploying on-device ML models or small language models (SLMs).
- Preferred Systems Knowledge: Solid understanding of OS thread scheduling, background daemons, and RAM management.
Nice to have
- Experience designing software that interacts directly with OEM firmware or driver APIs.
- Familiarity with cross-platform desktop frameworks or native Windows desktop development.
- Direct experience leveraging DirectML, ONNX Runtime, or Windows Copilot Runtime frameworks.
- Background in building system tools for PC gaming performance or creator workflows.
Full description
Technical Software Product Manager - PC Power/Performance and On-Device experiences
Description -
The Technical Software Product Manager will lead the product strategy, design, and execution for enterprise, commercial and consumer end user application focused on PC power optimization, battery health, and performance tuning.
You will own the definition and integration of on-device AI agents that analyze user behavior, system telemetry, and application workloads in real time to dynamically balance device longevity with peak computing performance.
Key Responsibilities:
Application services strategy, UX definition
- Define the product vision and multi-year roadmap for the desktop optimization suite.
- Translate complex silicon telemetry into intuitive, actionable user interface dashboards.
- Design seamless user workflows for switching between automated AI tuning and manual control.
- Establish application success metrics for active user engagement and churn reduction.
AI Agent & Feature Execution
- Write comprehensive Product Requirement Documents (PRDs) for local machine learning models.
- Specify reinforcement learning rewards that maximize hardware efficiency without lagging.
- Define the triggers for AI agents to proactively recommend background app hibernation.
- Ensure local on-device inference executes with zero audible fan noise or thermal throttling.
Performance & Telemetry Validation
- Prioritize engineering backlogs for real-time application-sensing telemetry pipelines.
- Collaborate with QA to validate battery-saving metrics across diverse hardware form factors.
- Monitor application footprint to guarantee the software itself uses minimal CPU, GPU, NPU and DRAM.
- Manage user data privacy guardrails for all local profiling and behavioral analytics.
Required Experience:
- Education: Bachelor’s degree in computer science, Computer Engineering, or equivalent.
- Product Experience: Minimum 5 years shipping consumer or enterprise desktop software.
- Domain Expertise: Proven track record with Windows system utilities or performance apps.
- AI Background: Practical experience deploying on-device ML models or small language models (SLMs).
- Preferred Systems Knowledge: Solid understanding of OS thread scheduling, background daemons, and RAM management.