Senior Engineering Manager, AutoCloud Agentic Systems

Google; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Software Engineering Manager to lead AutoCloud initiatives. You will manage a team of engineers, align with product strategy, and guide projects across multiple sites, focusing on scalable, secure cloud AI solutions and high-performance software systems.

The role requires strong leadership, architectural vision, and experience guiding large-scale projects in a matrixed organization. You will mentor engineers and drive technology strategy at scale.

Qualifications

• Bachelor’s degree in a relevant field or equivalent practical experience.
• 8 years of software development experience.
• 5 years of leadership and people management across global locations.
• 2 years of Generative AI experience.

Responsibilities

• Lead AutoCloud Agentic Systems goals and ensure alignment with product and user needs.
• Oversee end-to-end life cycle of features from ideation to deployment with quality and scalability.
• Develop tech strategy and phased plans with product to drive improvements.
• Collaborate with Google Cloud and AutoCloud leaders to align and deliver customer value.
• Define AI and software engineering best practices for robust, reliable systems.

Skills

Software development experience

Leadership & hiring mentoring

Generative AI experience

Education

Bachelor’s degree or equivalent practical experience

Job description

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.

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.
• 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

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.