Staff Software Engineer, Google Ads, Full Stack

About the role

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience. * 8 years of experience in software development. * 3 years of experience in a technical leadership role. * Experience building web, mobile, or desktop applications in languages like Dart, C#, JavaScript, Kotlin, Ruby, Go, Swift, and Objective-C.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science or related technical field. * People management experience in a technical environment. * Experience managing front-end engineering teams or driving front-end technical strategy.

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 Google Ad Manager keeps the open web thriving by providing the industry-leading platform publishers rely on to monetize content. We power high-stakes direct reservations and real-time programmatic auctions globally. As a major driver of Google's revenue, Ad Manager processes massive transaction volumes annually. The Frontend team builds the full-stack product (schema, APIs, web UI, and offline pipelines) used daily by publishers. We are actively integrating LLM and generative AI capabilities directly into these workflows, making this an ideal role to drive massive, real-world AI impact.

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/].