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Microsoft Principal Technical Program Manager 
Taiwan, Taoyuan City 
502823405

02.09.2025
Join Microsoft Ads as aand help build the core infrastructure behind ad delivery, identity & privacy, experimentation, tooling, and monetization at scale. In this role, you will drive high-impact, data-intensive projects with deep AI/ML integration, leading critical cross-org initiatives from problem statement to production launch. You will set vision and strategy for technical programs, influence senior leadership, and drive alignment across multiple organizations.



Required Qualifications:

  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 3+ years of experience managing cross-functional and/or cross-team projects.
  • 3+ years of expereincebuilding large-scale personalization and recommendation systems for content, advertising, or similar domains.


  • Bachelor's Degree AND 10+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 8+ years of experience managing cross-functional and/or cross-team projects.
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos, ad-hoc analysis using SQL, Kusto, Python etc.).
  • Experience with high-scale, data-intensive systems, especially in advertising technology (Azure data stack knowledge is a plus or other big data platforms).
  • Expertise with AI/ML recommendation systems at scale.
  • Proficient understanding of the ads stack or recommendation-based systems and experimentation platforms.
  • Proven ability to drive metric- and impact-driven outcomes.

Microsoft will accept applications for the role until September 4th, 2025.

Responsibilities
  • Lead and deliver complex, cross-functional technical programs that drive value for the Microsoft Ads business.
  • Set vision and strategy for technical programs, ensuring alignment with business goals and long-term impact.
  • Partner with multiple engineering teams to design and implement scalable solutions across multiple feature areas.
  • Define success criteria, track project schedules, and ensure alignment across business and technical stakeholders.
  • Drive execution of roadmap items, including staging, implementation, and governance for multiple feature groups.
  • Identify and resolve project dependencies and blockers, proposing solutions to keep initiatives on track.
  • Identify, communicate, and mitigate risks at scale, ensuring program success.
  • Apply a metric-driven approach to measure impact and continuously improve processes and outcomes.
  • Champion experimentation (A/B testing) and data-driven decision-making across the organization.
  • Lead programs across global, distributed teams and manage cross-geo execution.
  • Champion a culture of quality, rigor, and truth-seeking—ensuring solutions are robust, scalable, and grounded in data and facts.