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Principal Software Engineering Manager - CoreAI

As a Principal Software Engineering Manager on the Roslyn team, you will: Lead, coach, and grow a team of software engineers, creating an inclusive environment where people can do their best work and develop their careers. Establi...

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Microsoft Redmond, WA,US, US Source published Sep 1, 2026 Verified 1 hour ago
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Principal Software Engineering Manager - CoreAI opportunity at Microsoft
DeadlineSun Feb 28 7:30 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

As a Principal Software Engineering Manager on the Roslyn team, you will: Lead, coach, and grow a team of software engineers, creating an inclusive environment where people can do their best work and develop their careers. Establish clear priorities and engineering direction for the team in partnership with product management, design, and engineering leaders. Provide leadership for complex areas of the C# compiler and developer tools ecosystem, helping the team make sound architectural decisions and balance near-term delivery with long-term investments. Build a an engineering culture centered on quality, customer focus, accountability, collaboration, continuous learning, and thoughtful technical decision-making. Use customer feedback, experimentation, performance data, and production telemetry to understand how features are working and identify opportunities for improvement. Help the tea

Full job description

Full Job Description

As a Principal Software Engineering Manager on the Roslyn team, you will: Lead, coach, and grow a team of software engineers, creating an inclusive environment where people can do their best work and develop their careers. Establish clear priorities and engineering direction for the team in partnership with product management, design, and engineering leaders. Provide leadership for complex areas of the C# compiler and developer tools ecosystem, helping the team make sound architectural decisions and balance near-term delivery with long-term investments. Build a an engineering culture centered on quality, customer focus, accountability, collaboration, continuous learning, and thoughtful technical decision-making. Use customer feedback, experimentation, performance data, and production telemetry to understand how features are working and identify opportunities for improvement. Help the team effectively adopt AI-assisted development practices and identify opportunities to use AI to improve engineering productivity, product quality, and developer experiences. Participate in planning and prioritization across the broader .NET and developer tools organization and communicate strategy, tradeoffs, progress, and risks to stakeholders. Stay current with developments across the .NET platform, Copliot ecosystem, C# language and developer tools ecosystem, and rapidly evolving AI-assisted software development landscape. Contribute to the broader engineering organization by sharing technical and leadership expertise, developing future leaders, and improving engineering practices beyond the immediate team. 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#, Java, C++, JavaScript, or Python OR equivalent experience. 2+ years of people management experience, including experience developing and growing software engineers or equivalent leadership experience Significant experience designing, building, testing, and operating complex commercial software systems. Excellent written and verbal communication skills and demonstrated ability to collaborate effectively across organizational boundaries. 5+ years of software engineering experience, including substantial experience developing and testing commercial software in C#. Experience working with C#, .NET, compilers, developer tools, IDEs, or related software development technologies. Experience leading engineering teams responsible for technically complex, widely used software. Excellent technical judgment with the ability to dive deeply into implementation details while also framing broader architectural and product decisions. Demonstrated ability to lead teams through ambiguous technical and product problems and translate long-term strategy into executable plans. Experience diagnosing and improving software performance, reliability, and scalability. Experience using telemetry, experimentation, and customer feedback to drive engineering and product decisions. Customer empathy and a persistent desire to understand how developers use our products. Experience using AI-assisted development tools such as GitHub Copilot or similar technologies to improve engineering productivity and code quality. Familiarity with large language models and modern AI development tools and platforms, including their application to software engineering and developer tools. Experience contributing to or leading development in a large open-source software community.

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