Senior Engineering Manager, AutoCloud Agentic Systems
Google•Published 2 hours ago•First seen 1 hours ago
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.
AutoCloud 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 AutoCloud and transform how enterprise customers consume and manage their businesses in the cloud, can influence and work across Google Cloud, DeepMind 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
Learn more about benefits at Google.
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.
AutoCloud 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 AutoCloud and transform how enterprise customers consume and manage their businesses in the cloud, can influence and work across Google Cloud, DeepMind 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
Learn more about benefits at Google.
Responsibilities
- Lead the technical goal and execution for AutoCloud 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 AutoCloud to drive alignment and deliver customer value.
- Define and advocate for best practices in AI development, and software engineering, ensuring robust and reliable systems.
Minimum qualifications:
- 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.