Technical Lead Manager, Data Infra, Gemini AutoCloud, Agentic AI

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

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Technical Lead Manager for Data Infra on the Gemini AutoCloud project in Sunnyvale, CA. You will lead a 3–6 person team, architect critical components of the Quality Flywheel, and drive end-to-end ML infrastructure initiatives across data collection, evaluation, and deployment workflows.

You will partner with cross-functional teams across Google Cloud and external AI ecosystems, mentoring engineers and shaping scalable, reliable systems in a fast-paced environment.

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 with distributed storage.
• 2 years of experience in a people management or team leadership role.

Responsibilities

• Lead and manage a team of 3-6 engineers, guiding project execution, driving on-call and operational excellence, and mentoring junior engineers to foster technical growth and a high-performance team culture.
• Architect, design, and implement end-to-end components for the Quality Flywheel including Agentic AI, Context and Memory, and Hill Climbing engines while upholding project-wide software and system design standards.
• Build and scale robust machine learning infrastructure and platforms to power critical workflows such as large-scale data collection, Gemini post-training, unified benchmarking, and next-generation evaluation systems.
• Define and own the overarching testing architecture and reliability standards to guarantee high availability, fault tolerance, and system quality across production and test environments.
• Partner with cross-functional stakeholders to translate complex, multi-team requirements into simplified, scalable technical architectures and actionable roadmaps.

Skills

Software development

ML infrastructure leadership

Distributed storage

People management

Education

Bachelor’s degree or equivalent practical experience

Job description

Technical Lead Manager, Data Infra, Gemini AutoCloud, Agentic AI

Share Technical Lead Manager, Data Infra, Gemini AutoCloud, Agentic AI

corporate_fare Google place Sunnyvale, 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 with distributed storage.
• 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 involving cross-functional, or cross-business projects.
• Experience with technical innovation within cross-functional engineering environments.
• Experience in 0-1 projects.
• Strong track record of mentorship and excellent communication skills.

About the job

Gemini Cloud Assist is Google Cloud’s AI powered cloud management product portfolio that transforms the experience of our customers across all surfaces from learn, design, deploy, operate, investigate and optimize their applications, workloads and services. Gemini Cloud Assist was highlighted in Cloud Next 2026 keynotes. The AI space is moving very fast, in the Agentic era, we're extending Gemini Cloud Assist to Autonomous Cloud with agentic AI. The goal is to build a fully autonomous agent to power all AI workflows for all GCP customers. It's a big bet for Google Cloud! Our team is responsible for building the Quality Flywheel which is the underlying infra/platform to supercharge Cloud Assist, AutoCloud, Cloud Support with a highly scalable, autonomous, extensible, easy to use platform! We are an agile, fast-paced, cross-functional group focused on delivering high-impact features that have super high executive-level visibility.

In this role, you will be the overall lead for the Data Infra pillar. As a core TL of the Quality Flywheel team, you will work on a large-scale distributed system that is critical for the Agentic AI adoption. You will drive core infra pieces (Context and Memory, Recursive Self-improvement, Agentic AI Workflow, GCP Quality Gate, Gemini Upstreaming, GCA Feature Store, etc.). Your work is a combination of Infra, Quality, Agentic AI. Gemini Cloud Assist is expanding rapidly as a very core foundation for Cloud's AI initiative AutoCloud. You will have the opportunity to influence and work across Google Cloud, Google DeepMind, and the external AI ecosystem. 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

• Lead and manage a team of 3-6 engineers, guiding project execution, driving on-call and operational excellence, and mentoring junior engineers to foster technical growth and a high-performance team culture.
• Architect, design, and implement end-to-end components for the Quality Flywheel including Agentic AI, Context and Memory, and Hill Climbing engines while upholding project-wide software and system design standards.
• Build and scale robust machine learning infrastructure and platforms to power critical workflows such as large-scale data collection, Gemini post-training, unified benchmarking, and next-generation evaluation systems.
• Define and own the overarching testing architecture and reliability standards to guarantee high availability, fault tolerance, and system quality across production and test environments.
• Partner with cross-functional stakeholders to translate complex, multi-team requirements into simplified, scalable technical architectures and actionable roadmaps.

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.