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Engineering Manager, AI Data Generation

Google

$197,000 - $291,000
Oct 24, 2025
Mountain View, CA, US
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Google is looking to hire a Software Engineering Manager to provide technical leadership and manage a team of engineers. This role involves optimizing code, contributing to product strategy, and developing the team, with a focus on AI Data Generation (AI DGiT) for Generative AI (GenAI) data and evaluations. The goal is to empower Google customers with AI and Infrastructure capabilities at scale.

Requirements

  • 8 years of experience in software development.
  • 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end including JavaScript or TypeScript, HTML, CSS or equivalent.
  • 3 years of experience in a technical leadership role overseeing projects.
  • 5 years of experience building and developing large-scale infrastructure.
  • Experience in distributed systems or networks, or with compute technologies, storage, or hardware architecture.

Responsibilities

  • Develop the mid-term technical goals and roadmap within the scope of your team.
  • Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  • Deliver and launch tools/solutions to collect, verify and deliver data/evaluations for a variety of GenAI use cases, including evaluation and improvement of generative AI models and launches.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Learn novel GenAI use cases in depth for their data needs and identifying solutions leveraging the AI Data Platform.
  • Manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Other

  • 2 years of experience in a people management, supervision/team leadership role.
  • Set and communicate team priorities that support the broader organization's goals.
  • Align strategy, processes, and selection-making across teams.
  • Manage your project goals, contribute to product strategy and help develop your team.
  • Google is proud to be an equal opportunity workplace and is an affirmative action employer.