Software Engineering Manager, Core

Google Google · Big Tech · New York, NY +1

Software Engineering Manager for the Core team at Google, focusing on building the technical foundation for Google's flagship products. This role involves leading a team that merges Cloud AI Solutions and Corp Run, serving as the engine for Cloud for Alphabet and Project Reef. The manager will set team priorities, develop roadmaps, guide system designs, and oversee the integration of generative AI tools and autonomous agent frameworks.

What you'd actually do

  1. Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  2. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  3. Develop the mid-term technical outlook and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  4. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
  5. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Skills

Required

  • software development
  • people management
  • team leadership
  • integrating generative AI tools or LLM interfaces into workflows

Nice to have

  • Master's degree or PhD in Computer Science or a related technical field
  • working in a complex, matrixed organization
  • building execution runtimes and sandboxes for AI/ML workloads or autonomous agent frameworks
  • managing corporate customer migration, intake pipelines, or onboarding workflows at scale
  • Google Cloud security products
  • advanced networking technologies
  • Google-internal production primitives and data access layers

What the JD emphasized

  • Experience integrating generative AI tools or LLM interfaces into workflows
  • Experience or strong interest in building execution runtimes and sandboxes for AI/ML workloads or autonomous agent frameworks

Other signals

  • leading a newly consolidated engineering team that merges two critical workstreams: The former Cloud AI Solutions team and The former Corp Run team
  • unified team will serve as the engine room for Cloud for Alphabet (C4A) and Project Reef (making "intent become infrastructure")
  • Experience integrating generative AI tools or LLM interfaces into workflows
  • Experience or strong interest in building execution runtimes and sandboxes for AI/ML workloads or autonomous agent frameworks