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Senior Tech Lead Manager, Generative AI, Search Personalization

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 262000 - 364000 USD Yearly USD 262000.00 364000.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff Tech Lead Manager, Generative AI, Search Personalization

Senior Staff Tech Lead Manager, Generative AI, Search Personalization

Google Mountain View, CA, USA

Advanced

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

X In most instances, this position requires in-person interviews as part of the hiring process.

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with design and architecture; and testing/launching software products.
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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 technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Person alization quality team is charting new quality issues focused on relevance, accuracy of user context and ultimately efficiency of applying that context in producing the best search results. Improving the overall Search experience through these new dimensions is essential for enabling billions of users to search for anything, anxiety free with an experience that is uniquely tailored to them.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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

  • Provide technical leadership on high-impact projects.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Refine and improve the personalization quality goals based on real user interactions and adoption of new personalized search capabilities.
  • Lead a small team that works on deep, domain specific problems and works effectively with partner teams to iterate on quality at scale with speed.

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.

To all recruitment agencies:
Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization…

Position Requirements
10+ Years work experience
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