Overview
Drive threat intelligence into detections, product experiences, managed services, disruption, and customer guidance. Set the strategy for using AI to improve the speed, scale, and quality of intelligence production and delivery. Align threat intelligence, research, engineering, product, incident response, field, and communications teams around shared priorities. Establish standards and measures for intelligence quality, product adoption, time to protection, and customer impact. Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development
Full job description
Full Job Description
Drive threat intelligence into detections, product experiences, managed services, disruption, and customer guidance. Set the strategy for using AI to improve the speed, scale, and quality of intelligence production and delivery. Align threat intelligence, research, engineering, product, incident response, field, and communications teams around shared priorities. Establish standards and measures for intelligence quality, product adoption, time to protection, and customer impact. Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. These requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 12+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 15+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR equivalent experience. 10+ years of experience in cyber threat intelligence, security research, incident response, security product strategy, or a related discipline. Proven track record of defining strategy and driving large-scale, cross-functional security initiatives. Understanding of the threat intelligence lifecycle, adversary tradecraft, analytic standards, and intelligence consumers. Experience translating threat intelligence into product priorities, detections, managed services, or customer guidance. Working knowledge of XDR, SIEM, detection engineering, security telemetry, and AI-assisted security workflows. Demonstrated ability to advise senior leaders and align teams across complex organizations without direct authority. Communication and executive presence, with experience in customer briefings, industry forums, or public-facing engagements.
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