Software Engineering Manager, AutoCloud, Agentic AI Systems

Google Inc.; Sunnyvale, San Francisco (CA, CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking an Software Engineering Manager for AutoCloud within Agentic AI Systems, based in Sunnyvale, CA, with locations including San Francisco. The role leads a team of software engineers, guiding end-to-end delivery of autonomous agentic systems and customer journeys, while shaping technical milestones across product and platform teams.

Ideal candidates have 8+ years in software development, strong ML design leadership, and proven people management experience, with GenAI expertise

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques or related concepts (e.g., LLMs, multimodal, large vision models).
• 2 years of experience in a people management or team leadership role.

Responsibilities

• Manage, mentor, and grow a team of software engineers; conduct 1:1s and lead recruiting.
• Lead end-to-end engineering execution across multi-quarter roadmaps; ensure scalable, secure, production-ready systems.
• Partner with Product Management, UX, and Tech Leads to translate business goals into milestones and sprint plans.
• Build strong partnerships with Engineering Managers and Directors across Google Cloud to resolve cross-team dependencies.
• Advocate high standards for code quality, architectural reviews, CI/CD, system availability, and ML evaluation/benchmarking.

Education

Bachelor's degree or equivalent

Master's or PhD preferred

Job description

Software Engineering Manager, AutoCloud, Agentic AI Systems

Sunnyvale, CA, USA ; San Francisco, CA, USA

Advanced

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

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
  
• Experience building multi-tenant architectures with strict access control, tenant isolation, and data governance standards.
• Proven experience designing agent memory systems (short-term/working memory, episodic/semantic memory), context caching (e.g., Gemini context caching), context compression/summarization, vector databases/embeddings, and knowledge graphs.
• Deep background in Information Retrieval (IR), hybrid search (semantic + lexical), graph data stores, and aggregating complex distributed state (logs, metrics, IAM, infrastructure topology).

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

AutoCloud is Google Cloud’s autonomous, AI-powered cloud management portfolio. We are transforming how enterprise customers design, deploy, operate, investigate, and optimize their workloads and infrastructure across GCP. We are building AutoCloud Agentic AI Systems. You will guide the team through frontier generative AI and distributed systems issues to create enterprise-grade autonomous agents for GCP. In this role, you will foster an engineering culture and partner closely with Google Cloud, DeepMind, and senior leadership to drive direction. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

• Manage, mentor, and grow a team of software engineers. Conduct 1:1, support career, manage performance, foster culture, and lead recruiting and hiring initiatives. Cultivate a psychologically safe, transparent, and high-velocity team environment that thrives on continuous learning, innovation, and customer-first focus.
• Lead end-to-end engineering execution across multi-quarter roadmaps—ensuring timely delivery of scalable, secure, and production-ready agentic systems and customer user journeys.
• Partner with Product Management, UX, and Technical Leads to translate business goals into clear technical milestones, sprint plans, and effective resource allocation.
• Build strong partnerships with Engineering Managers, Directors across Google Cloud to resolve cross-team dependencies and drive joint technical deliverables.
• Advocate high standards for code quality, architectural reviews, CI/CD, system availability, on-call health, and LLM evaluation/benchmarking methodologies.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.