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<h3>Minimum qualifications:</h3><ul> <li>Bachelor's degree or equivalent practical experience.</li> <li>8 years of experience in a customer-facing analytical role in cyber security (e.g. Network Forensics Analyst, Threat Intelligence Analyst).</li> <li>Experience engaging with, and presenting to, technical stakeholders and executive leaders.<br></li> <li>Experience with project management.<br></li> </ul><h3>Preferred qualifications:</h3><ul> <li>Experience evaluating threats to AI tooling.<br></li> <li>Experience leveraging Agentic AI and building agents.</li> <li>Direct experience processing and analyzing tactical CTI within an fast-paced operational environment, supporting monitoring, detection, and response capabilities.</li> <li>Ability to correlate raw intelligence from sensors, incident response engagements, and other sources into reports and briefings.<br></li> <li>Ability to take complex, ambiguous topics, build strategy, and influence stakeholders.<br></li> </ul><h3>About the job</h3><p>Mandiant is a recognized leader in cyber security expertise and has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone.</p><h3>Responsibilities</h3><ul> <li>Identify, understand, communicate, and advocate regarding specific threats and vulnerabilities unique to AI/ML systems with both the client and relevant Google stakeholders to improve intelligence and sharing.<br></li> <li>Communicate complex technical findings regarding AI security threats, vulnerabilities, and incident response insights effectively to both technical and non-technical audiences, verbally and in writing.<br></li> <li>Produce tailored intelligence reports that meet the specific needs of the customer's intelligence analysts and senior leadership.<br></li> <li>Foster collaboration across internal teams (e.g., data scientists, engineers), third parties, and Mandiant stakeholders to share insights and address complex AI security challenges informed by AI/ML security best practices.</li> </ul>