Staff Software Engineer, Ads Safety Format Enablement

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

Job summary

Google's Staff Software Engineer, Ads Safety Format Enablement leads critical initiatives in the Ads Safety group, shaping how formats are enabled across our ad ecosystem. The role emphasizes technical leadership, cross‑team collaboration, and delivering scalable, AI‑enabled systems that protect users and maximize advertiser value.

You will mentor engineers, coordinate with Google Research and DeepMind, and drive architecture decisions for high‑scale features, while ensuring safety and

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 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.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Skills

AI/LLM integration

Education

Bachelor's degree or equivalent practical experience

Tools

C++

Java

Python

Kotlin

Go

Job description

Staff Software Engineer, Ads Safety Format Enablement

Share Staff Software Engineer, Ads Safety Format Enablement

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 programming in C++, Java, Python, Kotlin or Go.
• 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.

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 Ads Safety team has a mission to ensure that Google Ads products & networks are safe, free from malware and illicit/illegal products, compliant with regulations, and that our users have great experiences. The Ads Safety team is responsible for protecting all of Google’s Ad revenue.

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.

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 Ads Safety team has a mission to ensure that Google Ads products & networks are safe, free from malware and illicit/illegal products, compliant with regulations, and that our users have great experiences. The Ads Safety team is responsible for protecting all of Google’s Ad revenue.

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 .

• Provide technical leadership on high-impact projects.
  
• Influence and coach a distributed team of engineers.
  
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  
• Manage project priorities, deadlines, and deliverables.
  
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  

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.

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.