Software Engineer III, Shopping Ads

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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• Experience with data analysis, business intelligence platform/SQL/database querying technologies.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.

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 Retail Campaign Management, Content and Automation team is a part of the Retail Advertiser Experiences (RAX) team, a cross-functional team in Zurich that's a part of the Shopping Ads org. Shopping Ads help consumers find the products they're looking for, and Ads in general power the open and free internet, allowing users worldwide to access useful services and information without paying for it.

Retail Ads are a significant source of business for Google, and our cross-functional group directly delivers value for our advertisers, growing Google Ads business in the process.

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.

Responsibilities

• Dive into new codebases to contribute across different parts of the Ads stack.
• Analyze data to understand feature usage and impact.
• Design, build, test, and launch features in collaboration with partner teams.
• Collaborate with Product Managers (PMs) to define the right scope for features we build.