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Microsoft Senior Product Manager Taiwan, Taoyuan City 17119805
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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 ato lead AI fundamentals efforts that ensure our AI experiences are performant, power efficient, reliable, and trustworthy across diverse silicon and system configurations.
This role sits at the intersection of AI, silicon, and system fundamentals. You will define and drive fundamentals strategies for AI workloads, partner with engineering and silicon teams, and build tools and data pipelines that provide deep insights into AI features, model behaviors, and system impact.
Required Qualifications:
- Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
- OR equivalent experience.
Other Requirements
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:
- Excellent written and verbal communication skills.
- Solid analytical skills and experience working with telemetry, diagnostics, or profiling tools.
- Strong background and working experience in OEM ecosystem
- Proven ability to lead cross-functional initiatives and influence without authority.
- Experience with system fundamentals, performance engineering, or platform validation.
- Experience with system-level performance, power, or silicon fundamentals.
- Passion for building inclusive, customer-obsessed products.
Responsibilities
- AI Fundamentals Strategy: Define and evolve the fundamentals strategy for AI workloads across Windows devices, ensuring alignment with product goals and customer expectations.
- 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.
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