Technical Lead Manager, Discover Ranking

Google LLC

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

6 days ago
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Job summary

Google LLC in Mountain View, CA is seeking a Technical Lead Manager for Discover Ranking to supervise a team of engineers building large-scale ranking and recommendation systems. You will shape technical direction, design systems, and drive delivery across cross-functional partners.

The role emphasizes ML infrastructure, production models, and collaboration with researchers and software engineers. In-person interviews are typical; compensation includes base pay, bonus, equity, and benefits.

Qualifications

  • Bachelor’s degree or equivalent practical experience
  • 8 years of software development experience
  • 5 years of testing and launching software products; 3 years in design and architecture
  • 5 years building and deploying recommendation systems models in production
  • 5 years of ML design and ML infrastructure experience
  • Experience integrating generative AI tools or LLM interfaces into workflows

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Provide technical leadership on projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

Skills

Software development experience
Testing and launching software
Design and architecture
Recommendation systems
ML design & infrastructure
AI/LLM integration

Education

Bachelor’s degree or equivalent practical experience

Job description

Technical Lead Manager, Discover Ranking

Share Technical Lead Manager, Discover Ranking

corporate_fare Google place Mountain View, CA, USA

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.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience integrating generative AI tools or LLM interfaces into workflows.
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.
  • 3 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.

In this role, you will design and build the systems that personalize content for hundreds of millions of users. You will work with massive datasets and advanced machine learning models to improve how we rank and recommend articles, videos, and more. Your goal is to make the Discover feed more engaging, and useful for everyone.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

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.

In this role, you will design and build the systems that personalize content for hundreds of millions of users. You will work with massive datasets and advanced machine learning models to improve how we rank and recommend articles, videos, and more. Your goal is to make the Discover feed more engaging, and useful for everyone.

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.

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Provide technical leadership on projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

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.

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