Microsoft Principal Software Engineering Manager – Microsoft Copilot Growth 

Taiwan, Taoyuan City 

831748526

What makes this role unique:

• Massive surface area & impact: Your work directly shapes how customers discover, try, and adopt Copilot across Microsoft 365.
• Engineering for velocity: You'll modernize fundamentals (tooling, pipelines, telemetry) to shorten the idea-to-data loop and safely scale experimentation.
• AI at the core: You'll lead the adoption of agentic workflows in engineering (from code to ops), keeping the team at the forefront of the industry shift.
• Collaborate in a true One Microsoft fashion: Partner with worldclass PMs, designers, data scientists, and engineering teams across the company to land high leverage, cross-suite solutions.
• Strategic business alignment: You’ll make technical investments that support measurable business outcomes, balancing business priorities with engineering goals to maximize customer value and impact.

How we work:

• Customer-obsessed & data-informed: We form bold hypotheses, ship safely, measure rigorously, and iterate.
• Engineering excellence: We invest in tests, telemetry, agentic coding enablement, and continuous hardening to earn the right to go faster.
• Inclusive at our core: We welcome diverse perspectives and design accessible experiences for a global audience.
• Outcomes over output: We celebrate learning and hold ourselves accountable to business and customer impact.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of people management experience leading software engineers, with evidence of hiring, coaching, and performance development.
• 2+ years of experience scaling developer productivity (AI‑agentic coding, CI/CD automation, test strategy, observability, reliability/SRE).
• 3+ years of experience architecting distributed systems, APIs, data pipelines, and telemetry.

• Lead and grow a high-performing team of software engineers across varying levels and backgrounds, coaching for impact, inclusion, and career growth.
• Own the engineering roadmap for our acquisition engine, balancing rapid hypothesis testing with durable platform investments.
• Drive developer productivity with AI‑assisted and agentic practices, while elevating engineering standards of accelerating velocity and ensuring reliability.
• Ship data-driven experiments that improve funnel metrics in close partnership with PM, Design, Data Science and Research.
• Model our culture of growth mindset, clarity, accountability, and inclusive behaviors, removing systemic blockers so your team ships with speed and quality.
• Embody our