Engineering Analyst, Google Messages, Trust and Safety

Socket.dev; Sunnyvale (CA); On-site; USD 159,000 - 230,000; Full time

Job summary

Google's Trust and Safety team protects users across Google products by fighting fraud and abuse. This role focuses on preventing abuse in messaging ecosystems, working with product teams to deploy protections at scale.

You will collaborate with engineers and product managers worldwide, applying technical, analytical, and strategic skills to keep users safe at Google scale.

Individual pay varies by experience and education; includes bonus target and equity.

Qualifications

• Minimum bachelor’s degree or equivalent practical experience.
• 5 years of experience in anti-abuse with focus on signal analysis and data analysis.
• 5 years of data analysis experience, identifying trends and generating insights.
• Experience programming in SQL, Python, or Golang.

Responsibilities

• Work with cross-functional teams to design anti-abuse protections leveraging reputation.
• Analyze trends, conduct data analyses, and identify signals for scaled enforcement.
• Lead projects to produce ML models and heuristic rules with reliability measures.
• Advise on counter-abuse strategies and educate clients on threats.
• Handle sensitive content and potential exposure to upsetting material.

Skills

Anti-abuse domain

Data analysis

Signal analysis

Programming: SQL/Python/Golang

Cross-functional collaboration

Problem solving

Communication

Education

Bachelor's degree or equivalent

Job description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in anti-abuse domain with focus on signal analysis, model development, data analysis, cyber security.
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• Experience programming in one or more languages (e.g., SQL, Python, or Golang).

Preferred qualifications:

• Experience performing fraud/abuse investigations, risk management, security, and threat analysis for communication products.
• Technical and product experience with end-to-end encrypted communication products and anti-abuse messaging solutions.
• Proficiency in large-scale data analysis, tools, and processes for building ML reputation models.
• Ability to develop privacy and safety-focused product design protections.
• Ability to develop policy and enforcement models focused on actor- and behavior-level strategies to identify and prevent harmful patterns.
• Strong problem-solving, critical thinking, and communication skills with the ability to influence cross-functional stakeholders and executive leadership.

About the job:

Google's brand is only as strong as our users' trust and their steadfast belief that our guiding principles are what's best for them. The Trust and Safety (T&S) team has the critical responsibility of protecting Google's users by ensuring online safety by fighting fraud and abuse across Google products like Google Ads, Maps, Chrome, Google Play, Gmail, and Search.

The Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem (xMS, RCS, RBM, Google Messages). We are responsible for keeping users safe from phishing, malware, scams and other unwanted interactions in our messaging products. We partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate and maintain abuse protections.

In this role, you will be a strategic thinker and team player with a passion for doing what's right. You understand the user's point of view and are passionate about using your technical, problem-solving, and strategic acumen to protect our users. You work globally and cross-functionally with Google Engineers and Product Managers to navigate testing online safety situations and handle abuse and fraud at Google scale.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Work with cross-functional teams to design and build anti-abuse protections leveraging reputation at all levels.
• Analyze emerging trends, conduct data analyses, and identify new signals for scaled enforcement.
• Lead projects to produce ML models and heuristic rules while measuring system and model reliability.
• Advise on counter-abuse strategies, influence safer-by-design features, and educate clients on emerging threats to reduce issues upstream.
• Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.