Software Engineer III, Retail Advertiser Intelligence, Google Ads

Google; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

Google LLC is seeking a Share Software Engineer III for the Retail Advertiser Intelligence team within Google Ads. The role involves developing and maintaining reporting infrastructure and collaborating with PM/UX to implement key features.

It requires in-person interviews in most cases. The team focuses on powering retailers with reporting insights to inform investment decisions and optimize campaigns, leveraging Google’s AI capabilities and vast data infrastructure.

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.
• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience working with large-scale infrastructure and data processing pipelines.
• Experience in data processing, aggregation and reporting.

Responsibilities

• Develop and maintain the core reporting infrastructure: RVL, UDFs, Reporting Servers, Dynamo.
• Work with Product Manager (PM) and User Experience (UX) to understand product requirements and develop the features.
• Part of oncall rotations, and keeping the system healthy.
• Design and improve advertiser experience latency.

Skills

Software development experience

Programming languages

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD (preferred)

Tools

Dynamo

Reporting infrastructure

Data processing pipelines

Job description

Share Software Engineer III, Retail Advertiser Intelligence, Google Ads

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

• 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.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience working with large-scale infrastructure and data processing pipelines.
• Experience in data processing, aggregation and reporting.

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.

As part of the Retail Advertiser Intelligence, you will be developing and maintaining infrastructure that powers products providing retailers with the reporting insights they need to make investment decisions, debug their performance and understand Google's competitiveness.

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

• Develop and maintain the core reporting infrastructure: RVL, UDFs, Reporting Servers, Dynamo.
• Work with Product Manager (PM) and User Experience (UX) to understand product requirements and develop the features.
• Part of oncall rotations, and keeping the system healthy.
• Design and improve advertiser experience latency.

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.

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.