Microsoft Senior Product Manager - AI 

Taiwan, Taoyuan City 

599811774

Azure is entering a new era — one where AI doesn’t just assist, it empowers. As the gateway to the cloud, the Azure Portal is being reimagined with intelligent, agentic experiences that transform how users build, manage, and innovate.

Required Qualifications:

• Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience.
• 4+ year(s) of experience with the following:
  • Proven track record of delivering user-facing features at scale, from concept to launch.
  • Collaboration and communication skills across design, engineering, and business stakeholders.
  • Experience with agile product development and data-informed decision-making.

Other Qualifications:

• 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.

Preferred Qualifications:

• Bachelor's Degree AND 7+ years of experience in product/service/project/program management or software development OR equivalent experience.
• 3+ year(s) experience working on cloud infrastructure or developer platforms.
• 3+ year(s) experienc with Azure Portal or similar cloud management interfaces (e.g. AWS, GCP, Vercel, Supabase).
• 3+ year(s) experience in telemetry tools and user behavior analytics (e.g., Kusto, Power BI, Clarity) and exposureto AI-enhanced UX, LLMs, or intelligent assistance features.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Define and drive the product roadmap for Azure Copilot and agentic experiences in the Azure Portal, as well as for related Microsoft surfaces (GitHub, VS Code, M365).
• Partner with user research to deeply understand customer pain points, behaviors, and expectations.
• Translate insights into intelligent, accessible, and scalable product features that improve customer satisfaction and reduce friction.
• Champion responsible AI principles and ensure ethical, secure, and inclusive AI experiences.
• Define and track key experience metrics (e.g., task completion, satisfaction, NPS, latency).
• Use data and experimentation to validate hypotheses, iterate on features, and drive continuous improvement.
• Lead customer engagements and feedback loops to refine and evolve agentic experiences.