Senior GenAI Tech Lead — Personalization & Search

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google Mountain View, CA, USA is seeking a Senior Staff Tech Lead Manager in Generative AI for Search Personalization. You will drive technical leadership on high-impact projects, align multiple teams to common goals, and deliver large-scale software solutions that advance personalized search capabilities.

Ideal candidates have extensive ML design and deployment experience, cross-functional leadership, and a proven record of shipping GenAI-powered systems at scale.

Qualifications

• 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 GenAI-related concepts (language modeling, computer vision).

Responsibilities

• 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.

Skills

Software development

Technical leadership

ML design

Model deployment

Education

Bachelor's degree or equivalent

Job description

Google Mountain View, CA, USA is seeking a Senior Staff Tech Lead Manager in Generative AI for Search Personalization. You will drive technical leadership on high-impact projects, align multiple teams to common goals, and deliver large-scale software solutions that advance personalized search capabilities.

Ideal candidates have extensive ML design and deployment experience, cross-functional leadership, and a proven record of shipping GenAI-powered systems at scale.