Member of Technical Staff - Engineering Manager, Copilot Memory and Personalization

Microsoft Microsoft · Big Tech · Mountain View, CA +1 · Software Engineering

Engineering Manager for Copilot Memory and Personalization, focusing on building AI systems that remember, evolve, and personalize user experiences. The role involves leading a team of backend and ML engineers, contributing to codebase and infrastructure, and shipping AI-powered features for millions of users.

What you'd actually do

  1. Build and lead a team of backend and machine learning engineers, including driving project planning, prioritization of work, and designing features.
  2. Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform.
  3. Make hands-on contributions to the codebase and infrastructure.
  4. Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements.
  5. Ship AI powered experiences that will shape how millions of people will interact with AI in the future.

Skills

Required

  • Bachelor's degree in computer science, or related technical discipline 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.
  • 3+ years of people manager experience.

Nice to have

  • Proven experience building large-scale distributed systems and optimizing workloads for efficiency and scalability.
  • Experience building large-scale ranking algorithms and recommender systems.

What the JD emphasized

  • build systems that have true artificial intelligence
  • deepen memory with every interaction
  • personalize experiences to reflect each user’s unique style and goals
  • make interactions feel more like working with a trusted partner than using a tool
  • Ship AI powered experiences

Other signals

  • build systems that have true artificial intelligence across agents, applications, services, and infrastructure
  • deepen memory with every interaction
  • personalize experiences to reflect each user’s unique style and goals
  • make interactions feel more like working with a trusted partner than using a tool
  • Ship AI powered experiences that will shape how millions of people will interact with AI in the future