Microsoft Principal Product Manager 

Taiwan, Taoyuan City 

205531984

The Windows & Devices (W+D) organization is driving the next wave of AI innovation across the Windows ecosystem. As part of this mission, we are seeking a Principal PM Lead to lead AI fundamentals efforts that are at the intersection of silicon, AI, and system fundamentals.

Required Qualifications:

• Bachelor's Degree AND 15+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

• Effective verbal and written communication.
• 7+ years of experience shipping embedded software or hardware.
• Capability to understand and integrate technical concepts across various disciplines.
• People management experience.

Other Requirements:

• Some domestic and international travel may be necessary

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience shipping hardware/software through at least 3-5 product cycles.

• Experience with AI/ML systems, fundamentals, performance engineering orStrong background and working experience in OEM ecosystem
• Experience with system-level performance, power, or silicon fundamentals.
• Motivated and self-driven attitude.
• Responsible for collaboration with partners across organizational boundaries.
• Provide technical leadership and build talent to ensure the overall health of the team by developing and mentoring team members while helping them grow both technically and professionally.

• Enthusiastic, motivated and self-driven.

• People leadership: Managing a team of high-caliber PMs, ensuring program planning, development and execution.

• Cross-Functional Leadership: Collaborate with engineering, silicon, and platform teams to define fundamentals requirements, prioritize scenarios, and drive execution.
• Data-Driven Insights: Leverage telemetry, performance profiling, and diagnostics to identify gaps, validate improvements, and inform product decisions.
• Tooling and Automation: Partner with engineering to develop scalable fundamentals tools and dashboards that provide visibility into AI model performance, accuracy, and system impact.
• Customer-Centric Design: Ensure fundamentals efforts reflect real-world usage and customer scenarios, with a focus on quality, reliability, and inclusivity.
• Communication and Influence: Clearly articulate fundamentals goals, findings, and trade-offs to technical and non-technical stakeholders, including executives.
• Continuous Improvement: Drive a culture of learning and iteration, using data and experimentation to refine fundamentals processes and improve product fundamentals.