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Senior Engineering Manager, AutoCloud Agentic Systems

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-08-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 262000 - 364000 USD Yearly USD 262000.00 364000.00 YEAR
Job Description & How to Apply Below

Senior Engineering Manager, Auto Cloud Agentic Systems

Google Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

X In most instances, this position requires in-person interviews as part of the hiring process.

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience with software development.
  • 5 years of experience in leadership, people management and hiring mentoring and retaining talent across global locations.
  • 2 years of experience with Generative AI.
Preferred qualifications:
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years of experience working in a complex, matrixed organization.
About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.

About

the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Auto Cloud is the Google Cloud autonomous AI powered cloud management product portfolio that transforms the experience of our customers across all surfaces from design, deploy, operate, investigate and optimize their applications, workloads and services.

The AI space is evolving rapidly with newer and powerful models, agent frameworks, protocols, and security. As a Senior Engineering Manager, you will strategize, build, and develop Auto Cloud and transform how enterprise customers consume and manage their businesses in the cloud, can influence and work across Google Cloud, Deep Mind and external AI ecosystem.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

  • Lead the technical goal and execution for Auto Cloud Agentic Systems, ensuring alignment with product goals and user needs.
  • Drive the end-to-end development life-cycle of features, from ideation and prototyping to deployment, monitoring, and iteration, ensuring high quality, scalability, and performance.
  • Develop technology strategy and phased plans alongside product to drive product improvements or process simplifications.
  • Partner with cross-functional leaders across Google Cloud and Auto Cloud to drive alignment and deliver customer value.
  • Define and advocate for best practices in AI development, and software…
Position Requirements
10+ Years work experience
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