Microsoft Principal Technical Program Manager 

Taiwan, Taoyuan City 

196284204

Cloud Hardware Infrastructure Engineering (with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliveringhigh energyengineers to help achieve that mission.

Required/Minimum qualifications

• Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience.
• 5+years experiencemanaging cross-functional and/or cross-team projects.
• 5+years experiencedriving anorg strategy with complex dependencies and at a large scalethoughdirectlyinfluencingateam of TPMswith diverse domainexpertise
• 3+ years of experience in large-scale Silicon Engineering organizations, with hands-on expertise across silicon engineering disciplines (such as Silicon Operations, Infrastructure, CAD, or Data Analytics), and supporting CRM platforms.

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

Additional or preferred qualifications

• Hands-on experience withsupportCRM platforms (e.g., Halo, Salesforce, ServiceNow, or equivalent), including workflow design, ticket lifecycle management, and performance monitoring.
• Solid understanding of AI/ML methodologies (NLP, predictive analytics, automation frameworks) and their application to support management and operations optimization.
• Data and analytics orientation, withproficiencyinleveragingmetrics, dashboards, and reporting tools to drive strategic improvements.
• Knowledge of silicon development lifecycles, EDA tools, or semiconductor workflows
• Ability to translate operational challenges into scalable strategies that align with broader business and engineering goals.
• Experienceindriving clarity from ambiguity,partnering with senior stakeholders across engineering, operations, and business teams to align priorities and drive organizational impact.
• Skilled at balancing strategic foresight with technical depth, ensuring decisions are both visionary andexecution-ready.
• Analytical & structuredthinker:can break down complexity, prioritize effectively, and deliver clarity in ambiguous environments.
• Innovative problem-solver:embraces AI and new tools to unlock efficiencies and accelerate outcomes.
• Collaborative leader: builds trust across teams, influences without authority, and drives cross-functional alignment.
• Outcome-driven & resilient: thrives under pressure,maintains

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 24th, 2025.

• Strategic Planning & Alignment:Shape and execute long-term strategies that align operational activities with broader organizational goals and customer expectations. Partner with cross-functional leaders to prioritize initiatives and scale capabilities.
• Operational Oversight & Process Optimization:Develop and refine scalable frameworks and workflows, driving process excellence, automation, and continuous improvement to ensure consistent support quality, operational efficiency, and alignment with businessobjectives.
• Performance Metrics & Reporting:Design and oversee advanced performance measurement frameworks. Translate operational data into actionable insights that guide strategic decision-making, improve efficiency, and track business impact.
• Technical & Operational Leadership:Anticipateand resolve technical and process challenges across support frameworks. Enable seamless execution through innovative solutions, automation, and integration of AI-powered capabilities.
• Cross-Functional Collaboration:Partner with senior stakeholders to streamline workflows,align onpriorities, and drive organizational effectiveness across teams.
• Data-Driven Strategy & Continuous Improvement:Identifydata gaps and implement robust analytics pipelines to inform decisions, uncover trends, and proactivelyoptimizeoperations.
• AI-Driven Innovation & Problem Solving: