Job Specifications
Overview:
We are seeking a visionary, technically solid and hands-on Principal Software Engineering Manager to lead the Employee Self Service Platform Extensibility team. This team is at the forefront of enabling AI-powered self-service experiences across HR, IT, Facilities, and other enterprise domains. You will drive the development of extensibility features that empower AI agents to deliver seamless, personalized, and actionable employee support through Microsoft Copilot Studio and BizChat.
The Employee Self-Service (ESS) product is an emerging and cornerstone initiative within Microsoft's Copilot ecosystem, designed to streamline and personalize employee interactions across HR, IT, and facilities domains. ESS empowers customers to quickly create conversational AI agents that integrates with enterprise systems to deliver accurate, context-aware responses and automate routine tasks.
We are a geo-distributed team of engineers in Redmond WA and India, with deep development partnerships with the Microsoft Copilot Studio team, Microsoft AI team and Bizchat team. We partner closely with Product Managers, Technical Program Managers, designers, and researchers. We're a new and emerging product. The technology is evolving rapidly, and we're looking for individuals that are current on AI technologies and capable of solving problems across multiple code stacks.
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.
Qualifications:
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.
4+ years of experience in leading geo-distributed engineering teams.
Other Requirements:
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:
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 Bachelor's Degree in Computer Science or related technical field AND 12+ 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.
8+ years of experience in designing, building, and managing high-scale full-stack systems including authentication, microservices, distributed systems, data and analytics workloads, and AI training and inferencing services
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: US corporate pay information | Microsoft Careers
Microsoft will accept applications for the role October 6, 2025.
Responsibilities:
Lead and grow a high-performing engineering team focused on extensibility for employee self-service scenarios.
Define and execute the technical roadmap aligned with organizational goals and cross-functional priorities.
You will coordinate and partner across product teams, develop and support key extensibility features in Microsoft AI products - Microsoft Copilot Studio and Bizchat.
You will collaborate with internal and customer HR, IT, and Facilities stakeholders to understand business needs and translate them into technical solutions.
Architect and implement extensibility features that allow AI agents to interact with enterprise systems (e.g., HRIS, ITSM, Facilities platforms).
Own the delivery of key extensibility features such as agent publishing, multi-agent architecture improvements, MCP and connectors, and conversational workflow customization.
Ensure compatibility with OpenAPI standards and Microsoft's AI orchestration models.
Identify and drive performance, scalability, and reliability improvements across the ESS platform.
Demonstrate engineering proficiency, including CI/CD, telemetry, and qual