Member of Technical Staff - Full Stack Engineering Manager

Overview

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.

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.

Qualifications

Required Qualifications

• 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

Preferred Qualifications

• 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

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

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

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (