
51 - 200 employees
Founded 2002
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $140k - $180k / year
⏰ Full Time
🟠 Senior
🔍 Pre-sales Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on DTEX Systems's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

51 - 200 employees
Founded 2002
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.
• Lead technical discussions with prospective customers • Deliver product demonstrations • Conduct threat analysis and forensics • Manage technical evaluations/POVs from scoping through execution and closure • Prepare post-POV analyses and reports demonstrating ROI and security posture improvements • Communicate complex technical concepts to IT, Security, HR, Legal, and other stakeholders • Develop sales and customer support plans with the sales team • Act as a trusted advisor during presales solution design and implementation • Coordinate with Sales, Customer Success, Engineering, Marketing, Product Management, and other cross-functional groups • Travel within the designated region • Create and maintain enablement videos, demo scenarios, technical collateral, documentation, and whitepapers • Conduct customer assessments of policy effectiveness • Research emerging threat trends and patterns • Test and simulate insider risk use cases • Evaluate new version enhancements • Identify and communicate platform improvement opportunities • Recommend process and product improvements, report bugs, and raise feature requests • Monitor and interpret AI-related risks and impacts on insider threat, data protection, and user behavior • Evaluate customer adoption of AI tools and its influence on security posture and POV success criteria • Provide feedback on AI-related detections, governance guidance, and customer best practices
• 5+ years’ experience with cloud platforms (Azure / AWS / GCP), endpoint/network/system security, DLP, UAM, UBA, SIEM platforms and integration, metadata systems, and CASB • Comprehensive understanding of Insider Risk Management (IRM), including scenarios, mitigation strategies, platforms, buyer personas, market trends, and competitive landscape • Understanding of emerging threats related to agentic AI and AI-assisted user behavior • Understanding of AI impacts on data protection, governance, and access control • Familiarity with responsible AI usage concepts and enterprise AI governance frameworks • Experience using AI tools is a strong plus • Deep understanding of MITRE ATT&CK framework and Lockheed Martin Kill Chain • Ability to maintain an active lab environment with virtual environments, Windows endpoints and servers, Kali Linux, threat simulation capabilities, and attack scenario testing • Light Python scripting • Minimum 3 recent courses/certifications within the past 12 months • Enterprise technical pre-sales experience • Proven ability to drive revenue goals independently • Success converting POVs to closed deals and long-term customer success • Experience building POV success criteria and strategies • Excellence in written and verbal communication, complex problem-solving, and professional RFI/RFP responses • Proven track record working with C-suite executives, advising enterprise accounts, and building long-term customer relationships • Willingness to travel within the designated region
• Equity participation • Health and wellness benefits • Generous time-off policies • Hybrid or remote work environment • Continuous professional development opportunities • Competitive compensation • Values-driven environment prioritizing respect, inclusion, and collaboration
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