Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place. 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
Learn more about benefits at Google.
Own roadmap execution, turn quality strategy into Objectives and Key Results (OKRs), quarterly plans and milestones, track delivery and manage cross-team dependencies and trade-offs, drive quality improvements end-to-end from evals, and human ratings through live experiments to launch.
Partner with the quality ATL on technical direction, weigh trade-offs, and decide what to build and when.
Build one team, set clear ownership, operating models and rituals, align priorities and shared tooling/infrastructure with partner teams across sites.
Develop talent, set clear realistic and ambitious expectations, grow future TLs and managers, run performance, and promotion and hire.
Drive accountability, assign Directly Responsible Individuals (DRIs), hold owners to clear goals and quality metrics, act early on product, timeline and quality risks.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience in a technical leadership role; overseeing projects.
5 years of experience in a people management, supervision/team leadership role.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience managing both individual contributors and other managers.
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.
Experience in leading, developing, and growing teams.
Experience in leading Machine Learning (ML) programs.
Experience designing and operating distributed computing systems for AI/ML workloads.
Experience with Large Language Models (LLMs).
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience in a technical leadership role; overseeing projects.
5 years of experience in a people management, supervision/team leadership role.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience managing both individual contributors and other managers.
