Software Engineering Manager, Eval Infra, Quality Platform, Gemini Cloud Operator, Agentic AI

About this role

Minimum qualifications: Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience in software engineering leadership in ML Infrastructure, ML, or product-focused AI.

5 years of experience with large scale distributed systems.

2 years of experience in a people management or team leadership role.

Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems.

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.

Demonstrated experience architecting or contributing to simulation frameworks, evaluation infrastructure, or enterprise quality platforms.

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.

Gemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our goal is to establish intelligent AI agent as a primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. In this role, you will focus on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning.

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:

Lead a team of engineers, driving career growth, team culture, and execution across data collection, evaluation generation, and unified benchmarks.

Act as Tech Lead for the Quality Flywheel, architecting systems for scalable data collection, realistic simulation environments, eval generation, and online hill climbing.

Direct software design and implementation for next-gen evaluation infrastructure (Eval Infra), tooling, and Gemini post-training systems adhering to architectural best practices.

Partner across teams to distill complex, ambiguous model and platform requirements into simplified, robust technical solutions.

Drive overarching testing and reliability architecture, advocating production stability, test environment improvements, and on-call operational support.