This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for a Principal Group Engineering Manager (GEM) to lead the Meeting Prep engineering team—a mission critical pillar of Microsoft’s Calendar and Copilot experiences. This team builds the intelligence that helps people show up prepared to meetings: synthesizing context across calendar, email, documents, and conversations to deliver concise, high quality briefs before meetings. The role sits at the intersection of applied AI, productivity, and product craft, and requires a leader who can translate ambiguous user needs into durable, scalable systems.
Job Responsibility:
Work with LT and PM team to create and propose the vision, strategy and long-term road map for our Meeting Prep AI initiative
Review design and implementation and ensure it is aligned with our long-term vision and roadmap
Create execution roadmap and lead/drive the engineering team to execute on the vision
Work with PM and partner teams to build and support services and infrastructure needs
Recruit and build a engineering team with diverse and inclusive culture
Coach and guide leaders and engineers in the engineering team
Requirements:
Bachelor'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
Experience building AI Powered productivity or developer tools
Deep product judgment—knowing when “good enough” is not good enough
Familiarity with largescale evaluation, quality frameworks, and telemetry for AI systems
Experience working across Calendar, Mail, or document centric ecosystems
10+ years of professional engineering experience, including 4+ years of engineering management
Proven experience leading multiple teams or managers in complex product areas
Technical background in distributed systems and AI
Track record of shipping customer facing features with high quality and adoption
Efficient Written and verbal communication skills
Nice to have:
Experience building AI Powered productivity or developer tools
Deep product judgment—knowing when “good enough” is not good enough
Familiarity with largescale evaluation, quality frameworks, and telemetry for AI systems
Experience working across Calendar, Mail, or document centric ecosystems
10+ years of professional engineering experience, including 4+ years of engineering management
Proven experience leading multiple teams or managers in complex product areas
Technical background in distributed systems and AI
Track record of shipping customer facing features with high quality and adoption