Software Engineer Manager, Learning Platforms, Global Business Organization

Google Google · Big Tech · Chicago, IL +3

Software Engineering Manager for Learning Platforms within Google's Global Business Organization. This role involves technical leadership, people management, setting team priorities, developing roadmaps, designing systems, and writing code. While the role touches on ML model optimization, its core function is engineering management within a broader business context.

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 goals 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
  • full stack development
  • back-end development (Java, Python, Golang, or C++)
  • front-end development (JavaScript or TypeScript, HTML, CSS)
  • technical leadership
  • people management
  • team leadership

Nice to have

  • Master's degree or PhD in Computer Science or related technical field
  • experience in a structured organization
  • machine learning (ML) model fine-tuning
  • evaluation
  • performance optimization for user-facing systems

What the JD emphasized

  • 8 years of experience in software development
  • 3 years of experience with full stack development
  • 3 years of experience in a technical leadership role
  • 2 years of experience in a people management or team leadership role
  • machine learning (ML) model fine-tuning, evaluation, and performance optimization for user-facing systems