Customer Engineer, AI Security, Google Cloud

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
• Share security experience to support the technical relationship with customers, including product and solution briefings and proof-of-concept work, partnering with Product Management to prioritize solutions impacting customer engagement with Google Cloud.
• Support customers facing presentations and conduct workshops to share the experience and be a subject matter expert on Cybersecurity.
• Work directly with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 6 years of experience in cyber security.
• Experience with Artificial Intelligence (AI) product security.
• Experience in software development.
• Experience with Cloud technologies.
• Experience in application security, software development life-cycle (SDLC) practices, or vulnerability management.

Preferred qualifications:

• Experience with AI-powered security tools for automated vulnerability detection, exploit generation, and code fix remediation.
• Experience in a customer-facing technical role, including delivering product and solution briefings, partnering with security leaders and technical teams, and optimizing for production results.
• Familiarity with platforms for deploying and managing security agents or AI models for security applications, particularly in code analysis and remediation workflows.
• Understanding the impact of AI on both offensive and defensive security strategies, including how AI can be leveraged to exploit binaries and firmware as effectively as source code.