Staff Software Engineer, Search Local Ads Data Platform

Google

Mountain View (CA)

On-site

USD 207,000 - 301,000

Full time

14 days+

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Benefits offered by this job

20% bonus target
Equity options
Comprehensive benefits

Job summary

Google is looking for a Staff Software Engineer for its Search Local Ads Data Platform. This role involves designing and developing software solutions that manage location data critical to Google's ad ecosystem.

The ideal candidate will have extensive experience in software development, with strong skills in full stack development across various programming languages. Candidates should also demonstrate the ability to lead projects and influence outcomes effectively.

This position is based in Mountain View, CA and offers a competitive salary range of $207,000 - $301,000 with additional benefits.

Qualifications

  • 8 years of experience in software development.
  • 5 years of experience testing and launching software products.
  • Experience integrating generative AI tools into workflows.

Responsibilities

  • Facilitate alignment and clarity across teams on goals.
  • Design, develop, test, deploy large-scale software solutions.
  • Work on projects across backend pipelines and production stability.

Skills

Software development
Full stack development
Software design and architecture
Technical leadership
Problem solving
Generative AI tools integration

Education

Bachelor's degree or equivalent
Master's degree or PhD

Tools

Java
Python
Golang
C++
JavaScript
TypeScript
HTML
CSS

Job description

Staff Software Engineer, Search Local Ads Data Platform

Mountain View, CA, USA

Advanced

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

Minimum qualifications
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 5 years of experience with full stack development across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
  • 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.
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 LVL Ads 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 $XX billion of 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 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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 or 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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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 location. Google is not responsible for any fees related to unsolicited resumes.

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.

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