Staff Software Engineer, Google Local Services Ads Platform
About the role
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.
Local Services by Google (GLS) is a strategic vertical effort in Ads and
Commerce. Our primary mission is to create great experiences for users who need
local services, enabling them to find and connect with trusted services
providers (advertisers).
A key ingredient is acquiring and retaining high quality advertisers (providers)
that can meet the ever growing services users demand. We want to take a
multi-faceted approach in setting up an efficient and sustainable acquisition
pipeline, meeting advertisers in places they already go to buy ads. We want to
invest into offering exceptional functionality and features that will make
advertiser find value in us, and thus be retained on the platform.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine
learning and Generative AI models like Gemini to power a multi-billion dollar
global business.
Our work directly impacts billions of users by protecting users from harm,
improving ad quality, and optimizing campaigns for advertiser
return-on-investment. We foster a culture of deep collaboration, partnering
closely with teams like Google Research and DeepMind to solve complex
challenges. Join us to work on state-of-the-art AI, take on problems at an
unparalleled scale, and build the next generation of advertising
technology.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
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Provide technical leadership on high-impact projects.
- Influence and coach a distributed team of engineers.
- Deliver full stack development including UI, backend infrastructure, and
AI/ML.
- Manage a team of 5 Engineers.
- Design, develop, test, deploy, maintain, and enhance large-scale software
solutions.
Responsibilities
- Provide technical leadership on high-impact projects.
- Influence and coach a distributed team of engineers.
- Deliver full-stack development across UI, backend infrastructure, and AI/ML.
- Manage a team of five engineers.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Qualifications
- Bachelor's degree or equivalent practical experience.
- At least 8 years of software development experience.
- At least 5 years of experience testing and launching software products.
- At least 5 years of full-stack development experience across backend and frontend technologies.
- At least 3 years of experience with software design and architecture.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Preferred: Master's degree or PhD in a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
Benefits
- 20% target bonus
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.