Trellix
Teams at Trellix
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Machine Learning • Cybersecurity
Manage renewals and upsell opportunities across an assigned commercial territory. The role owns the contract lifecycle, customer engagements, quoting, forecasting, risk mitigation, and renewal negotiations. It collaborates with sales, customer success, technical support, and channel partners to maximize retention, revenue, and customer value. Candidates should understand cybersecurity trends, recurring-revenue account management, contract terms, pricing, CRM tools, and quota achievement.
Machine Learning • Cybersecurity
Perform in-depth static and dynamic reverse engineering of Android apps and SDKs to identify malware, data leakage, and device risks. Use tools (Jadx, Ghidra, Frida, IDA Pro, Burp) to analyze binaries and APKs, develop detection signatures (Yara, SQL), gather threat intelligence, and collaborate with researchers and developers to remediate findings and improve app security.
Machine Learning • Cybersecurity
Develop and execute B2B content marketing strategies for cybersecurity solutions across blogs, social media, white papers, case studies, videos, infographics, and newsletters. Translate technical concepts into clear value propositions, research market and audience trends, collaborate cross-functionally, oversee content workflows, and analyze performance metrics to improve engagement, demand generation, brand visibility, and ROI.
