Staff Software Engineer, Search Local Ads Data Platform

Google Inc.; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is hiring a Staff Software Engineer for the Search Local Ads Data Platform in Mountain View, CA. The role focuses on owning outcomes, solving ambiguous problems, and guiding cross-functional teams in building scalable data infrastructure and serving systems.

Expect leadership in design, testing, and deployment with heavy AI-enabled workflows. The team covers data platform components spanning indexing, serving, and analytics for location-based ads across Google Ads networks.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• 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.

Responsibilities

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Design, architect, and develop the next generation serving infrastructure for loading and indexing information in Ads.
• Leverage AI to generate new additional content for our local businesses and determine which ad should serve.
• Work on projects spanning a range of technical domains including feature engineering, backend pipelines, low latency infrastructure, advertiser reporting, and production stability.

Skills

Ownership

Decision making

Ambiguity solving

Stakeholder influence

Domain expertise

Software development

Testing & launching software

Software design & architecture

AI integration

Education

Bachelor’s degree or equivalent

Master’s degree or PhD in Engineering/CS

Job description

Staff Software Engineer, Search Local Ads Data Platform

corporate_fare Google Mountain View, CA, USA

Advanced

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

Preferred qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 3 years of experience with software design and architecture.
• 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.

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

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.

The Local and Vertical Ads (LVL) Data Platform provides business location data, calls data, service area business data, and its derived location and calls intelligence to the Google Ads ecosystem. It is the basis for all location-based and call ads. Your goal is to make location information accessible and used universally by the Ads ecosystem.
The data that you manage encompasses a portion of Google's business across the various Google Ads networks (Search, Display, YouTube, and Maps), contributing to business with headroom and future growth opportunities. You will work on serving, data infrastructure, or quality infrastructure and unlock new business opportunities.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.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 .

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  
• Design, architect, and develop the next generation serving infrastructure for loading and indexing information in Ads.
• Leverage AI to generate new additional content for our local businesses and determine which ad should serve.
• Work on projects spanning a range of technical domains including feature engineering, backend pipelines, low latency infrastructure, advertiser reporting, and production stability.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.