Product Solutions Engineer, Authentication and Security, gTech Ads

Google is a leading technology company, and they are seeking a Product Solutions Engineer for their gTech Ads team. This role involves troubleshooting technical issues for customers and providing solutions related to authentication and security within Google's Ads ecosystem.

Responsibilities:

• Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners
• Lead the technical investigation, triage, and resolution of escalations related to identity management, authentication pipeline failures, and unauthorized access vectors within the Ads ecosystems
• Act as the technical engineer on passwordless authentication rollouts, directly supporting the mandate, troubleshooting, and implementation of passkey technology for enterprise customers
• Develop tools and automation for better diagnostics/ data fixes and debugging, either independently or in partnership with Product Engineering teams
• Partner with Product Engineering and Trust and Safety to identify systemic authentication vulnerabilities, advocate for infrastructure fixes, provide product feedback, and drive data-driven root cause solutions for top customers

Requirements:

• Bachelor's degree or equivalent practical experience
• 3 years of experience troubleshooting technical issues for internal/external partners or customers
• Experience in either system design or reading code (e.g., Java, C++, Python)
• Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field
• 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies
• 5 years of experience with data analysis and SQL/MySQL
• 5 years of experience in a customer-facing role
• 5 years of experience working with Unix or Linux operating systems/commands
• 5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc.)