Engineering Analyst, Messages Spam and Abuse

Google's Trust & Safety team is seeking an Engineering Analyst to join their Messages Spam and Abuse division. This role combines data analysis, security, and project management to protect Google's vast user base from various forms of online abuse. You'll work with cutting-edge technology and collaborate with engineers and product managers globally to develop and implement anti-abuse solutions.

The position offers a competitive salary range of $126,000-$181,000 plus additional benefits, equity, and bonus opportunities. As part of the Trust & Safety team, you'll be at the forefront of fighting abuse across Google's products, working in over 40 languages to protect users, advertisers, and publishers worldwide.

The ideal candidate will bring strong analytical skills, with at least 2 years of experience in data analysis and project management. You'll need proficiency in tools like SQL, Python, and potentially Golang, along with an understanding of messaging systems and fraud prevention. Your role will involve analyzing trends, developing monitoring systems, and collaborating with cross-functional teams to build robust anti-abuse protections.

This position offers an opportunity to make a significant impact on user safety while working with some of the best minds in technology. You'll be part of Google's mission to earn and maintain user trust, developing solutions for complex challenges in cybersecurity and abuse prevention. The role combines technical expertise with strategic thinking, requiring both analytical capabilities and excellent communication skills to influence decisions across various levels of the organization.

Working at Google means joining a culture of innovation and collaboration, with comprehensive benefits and a commitment to diversity and inclusion. You'll have the chance to work on projects that affect millions of users while developing your skills in data analysis, security, and abuse prevention. The role offers clear paths for growth and learning, with opportunities to expand your expertise in machine learning, security systems, and large-scale data analysis.