Software Engineering Manager, AutoCloud, Agentic AI Systems

Google; United States; On-site; USD 207,000 - 300,000; Full time

Job summary

Google's AutoCloud Agentic AI Systems team seeks a Software Engineering Manager to guide engineers building autonomous AI-driven cloud management tools for enterprise workloads.

You will own outcomes, mentor engineers, coordinate with Google Cloud and DeepMind leadership, and drive delivery of secure, scalable agentic systems while maintaining high engineering standards and robust performance benchmarks.

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 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.

Responsibilities

• Manage, mentor, and grow a team of software engineers. Conduct 1:1, support career, manage performance, foster culture, and lead recruiting and hiring initiatives.
• 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.

Skills

Software development

Technical leadership

People management

GenAI / LLMs

ML infrastructure

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering/CS

Tools

Vector databases

Knowledge graphs

IR / Hybrid search

Graph data stores

Distributed systems

Job description

Software Engineering Manager, AutoCloud, Agentic AI Systems

Advanced

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

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.

Minimum 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 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.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

Responsibilities

• 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.

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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.

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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.

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