Jobs at Google
Google, founded in 1998 by Larry Page and Sergey Brin, dominates online search, advertising, and cloud services. Its engineering culture, open‑source contributions, and AI research keep it at the forefront of tech innovation.
Google hires software engineers, product managers, UX designers, data scientists, sales and marketing leaders, hardware developers, and operations specialists. Candidates can expect rigorous coding tests, structured behavioral rounds, and a focus on collaboration across globally distributed teams.
By viewing Google listings on Job Transparency, you gain instant access to salary ranges, employee satisfaction scores, and location‑specific pay trends, allowing you to benchmark offers, identify high‑value roles, and negotiate from an informed position.
Software Engineer III, Infrastructure, Google Cloud
Company: Google
Location: Warsaw, Poland
Posted Jan 23, 2025
Field Sales Representative, Public Sector, Google Cloud (English, Spanish)
Company: Google
Location: Bogota, Colombia
Posted Jan 23, 2025
Software Engineer, Early Career
Company: Google
Location: Belo Horizonte, Brazil
Posted Jan 23, 2025
Senior Software Engineer, Infrastructure, Spanner
Company: Google
Location: Sunnyvale, CA
Posted Jan 23, 2025
Senior Software Engineer, Machine Learning, Model Optimization
Company: Google
Location: London, United Kingdom
Posted Jan 23, 2025
Senior Software Engineer, Generative AI, Google Workspace
Company: Google
Location: Redmond, WA
Posted Jan 23, 2025
Staff Software Engineer, Generative AI, Google Workspace
Company: Google
Location: Redmond, WA
Posted Jan 23, 2025
Engineering Analyst, Messages, Spam, Abuse, Trust and Safety
Company: Google
Location: Singapore
Posted Jan 23, 2025
Google's Trust & Safety team, specifically the Messaging Spam and Abuse team, is seeking a data analysis professional with extensive experience in identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. The role involves working on preventing abuse within the messaging ecosystem, partnering with product teams to identify potential abuse vectors, and establishing, evaluating, and maintaining abuse protections. The ideal candidate will have a strong background in coding (Python, R, SQL), project management, and fraud/abuse investigations. They will analyze and solve problems using data and statistical methods, improve tools and automated systems, and collaborate with cross-functional teams to design and build anti-abuse protections.