Member of Technical Staff - Full Stack Engineering Manager

MicrosoftMountain View, CA
2dHybrid

About The Position

Microsoft AI is looking for a Member of Technical Staff – Full Stack – Engineering Manager to help build the next wave of capabilities of our personalized AI assistant, Copilot. At Microsoft AI we believe in pushing the boundaries to create outstanding products and services. Our mission is to innovate and excel in AI so you can be more productive and efficient in everything you do. You will be leading high-performing full-stack teams in delivering robust, scalable, and secure software solutions. You will be driving the development of capabilities for our Copilot product. You will model strong leadership, guide the architectural and technical direction of the product, and foster a collaborative, growth-oriented engineering culture. This role requires a deep understanding of engineering practices, people leadership, user-focused design, and operational excellence. In addition, hands-on coding and technical contribution will be a key part of your leadership, including writing and reviewing production-level code. In this role, you would be working with all the four stages of our evaluation platform: Data sampling, AI data collection and processing, data analysis/evaluation, and insights. You will take on multiple engineering roles and work across the full stack, including database backend, middle-tier services, front-end browser automation, statistical analysis, and creating consumable dashboards. Your role will also involve prompt engineering and extensive use of AI tools. Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team oversees Copilot, Bing, Edge, and generative AI research. Join us in shaping the future of personal computing powered by AI. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Requirements

  • Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineeringexperience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Or equivalent experience
  • 3 years of people management experience

Nice To Haves

  • Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • 4+ years people management experience

Responsibilities

  • Hire, manage, and lead a team of software engineers responsible for delivering secure, reliable, and scalable products
  • Ship AI powered experiences that will shape how millions of people will interact with AI in the future
  • Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
  • Write and review code, ensuring quality, maintainability, and performance, while also setting high standards for engineering excellence across the team.
  • Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements.
  • Build and maintain testing strategies, ensuring comprehensive coverage, effective automation, and scalable test frameworks that support continuous integration and deployment.
  • Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
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