Trellix
Teams at Trellix
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Machine Learning • Cybersecurity
Analyze and deconstruct Android applications and SDKs to identify vulnerabilities, data leakage, malicious behavior, and security risks. Perform static and dynamic analysis, decompilation, disassembly, debugging, APK and binary reverse engineering, and threat intelligence research. Develop automation tools and scripts, assess mobile application security, track emerging Android threats, and collaborate with researchers and developers to improve software security.
Machine Learning • Cybersecurity
Manage enterprise customer accounts, grow new business and renewals, exceed revenue quotas, develop account strategies, and deliver accurate forecasts. Lead cross-functional teams involving sales engineering, customer success, renewals, and professional services. Build executive and partner relationships, conduct consultative security-platform sales, coordinate workshops, and expand opportunities through channel partners and system integrators.
Machine Learning • Cybersecurity
Leads Trellix’s APJ Sales Engineering organization, setting regional strategy, improving pipeline influence, forecasting, operational performance, and partner enablement. Builds and develops high-performing teams, collaborates with sales, product, marketing, and services leadership, and engages directly with strategic customers and partners to drive enterprise SaaS cybersecurity opportunities. The role requires extensive APAC leadership experience, technical credibility, consultative selling expertise, and approximately 50% overnight travel.
