Senior Pre-Sales Solution Engineer- NY Metro Area

Details

• Drive and own the complete POV lifecycle from scoping through execution and closure, ensuring successful delivery of customer-specific use cases and measurable outcomes
• Prepare comprehensive post-POV analysis and reports that highlight DTEX's unique value for multiple stakeholders, demonstrating clear ROI and security posture improvements
• Effectively communicate complex technical concepts across all organizational levels and personas (IT, Security, HR, Legal, etc.)
• Work with sales team to develop comprehensive sales and customer support plans
• Act as trusted advisor during presales solution design and implementation
• Coordinate with cross-functional groups (Sales, Customer Success, Engineering, Marketing, Product Management, etc.) for customer opportunities
• Travel within designated region
• Create and maintain SE team resources:Enablement videosDemo scenariosTechnical collateral: E.g., Documentation / Whitepapers, etc.Contribute proactively to strengthening the team's collective capability
• Enablement videos
• Demo scenarios
• Technical collateral: E.g., Documentation / Whitepapers, etc.
• Contribute proactively to strengthening the team's collective capability
• Enablement videos
• Demo scenarios
• Technical collateral: E.g., Documentation / Whitepapers, etc.
• Contribute proactively to strengthening the team's collective capability
• Conduct regular customer assessments to evaluate policy effectiveness to assure value is being realized
• Research and analyze emerging threat trends and patterns
• Test and simulate insider risk use case scenarios to strengthen DTEX solution capabilities
• Evaluate new version enhancements by researching the latest trends
• Proactively identify and communicate platform improvement opportunities to cross-functional teams
• Recommend process and product improvements, report bugs, raise features requests, etc.
• Monitor and interpret emerging AI‑related risks and their impact on insider threat, data protection, and user behavior
• Evaluate how customer adoption of AI tools (agentic workflows, copilots, automation platforms) influences security posture and POV success criteria
• Provide feedback to Product and Engineering on opportunities to enhance AI‑related detections, governance guidance, and customer best practices
• Comprehensive understanding of Insider Risk Management (IRM): Deep knowledge of insider risk scenarios and mitigation strategiesExperience with IRM platforms and competitive solutionsUnderstanding of IRM buyer personas and their unique challengesFamiliarity with IRM market trends and competitive landscape
• Deep knowledge of insider risk scenarios and mitigation strategies
• Experience with IRM platforms and competitive solutions
• Understanding of IRM buyer personas and their unique challenges
• Familiarity with IRM market trends and competitive landscape
• Deep technical knowledge with 5+ years’ experience with: Cloud platforms (Azure / AWS / GCP)Endpoint / Network / System Security DLP, UAM and UBA SIEM platforms and integrationMetadata systemsCASB
• Cloud platforms (Azure / AWS / GCP)
• Endpoint / Network / System Security
• DLP, UAM and UBA
• SIEM platforms and integration
• Metadata systems
• CASB
• Foundational AI Security & Governance Awareness:Understanding of the emerging threat landscape related to agentic AI and AI‑assisted user behaviorAwareness of how AI tools impact enterprise environments, including data protection, governance requirements and access-control considerationsFamiliarity with responsible AI usage concepts and enterprise AI governance frameworksAbility to discuss AI‑related risks, controls, and use cases with both technical and non‑technical stakeholdersExperience using AI tools (coding assistants, copilots, automation agents) to improve efficiency is a strong plus
• Understanding of the emerging threat landscape related to agentic AI and AI‑assisted user behavior
• Awareness of how AI tools impact enterprise environments, including data protection, governance requirements and access-control considerations
• Familiarity with responsible AI usage concepts and enterprise AI governance frameworks
• Ability to discuss AI‑related risks, controls, and use cases with both technical and non‑technical stakeholders
• Experience using AI tools (coding assistants, copilots, automation agents) to improve efficiency is a strong plus
• Deep knowledge of insider risk scenarios and mitigation strategies
• Experience with IRM platforms and competitive solutions
• Understanding of IRM buyer personas and their unique challenges
• Familiarity with IRM market trends and competitive landscape
• Cloud platforms (Azure / AWS / GCP)
• Endpoint / Network / System Security
• DLP, UAM and UBA
• SIEM platforms and integration
• Metadata systems
• CASB
• Understanding of the emerging threat landscape related to agentic AI and AI‑assisted user behavior
• Awareness of how AI tools impact enterprise environments, including data protection, governance requirements and access-control considerations
• Familiarity with responsible AI usage concepts and enterprise AI governance frameworks
• Ability to discuss AI‑related risks, controls, and use cases with both technical and non‑technical stakeholders
• Experience using AI tools (coding assistants, copilots, automation agents) to improve efficiency is a strong plus
• Deep understanding of MITRE ATT&CK framework, Lockheed Martin Kill Chain, and variants
• Ability to maintain an active lab environment including, but not limited to the following: Virtual Environments (KVM, ESXi, etc.)Windows Endpoints and ServersKali LinuxThreat simulation capabilitiesAttack scenario testingLight Python scripting
• Virtual Environments (KVM, ESXi, etc.)
• Windows Endpoints and Servers
• Kali Linux
• Threat simulation capabilities
• Attack scenario testing
• Light Python scripting
• Demonstrates commitment to continuous self-educationMinimum 3 recent courses/certifications within the past 12 months
• Minimum 3 recent courses/certifications within the past 12 months
• Virtual Environments (KVM, ESXi, etc.)
• Windows Endpoints and Servers
• Kali Linux
• Threat simulation capabilities
• Attack scenario testing
• Light Python scripting
• Minimum 3 recent courses/certifications within the past 12 months
• Enterprise technical pre-sales experience
• Self-starter with proven ability to drive revenue goals independently
• Demonstrate success in:Converting POVs to closed deals and long-term customer successBuilding compelling POV success criteria aligned with business objectivesCreating POV strategies that accelerate sales cycles
• Converting POVs to closed deals and long-term customer success
• Building compelling POV success criteria aligned with business objectives
• Creating POV strategies that accelerate sales cycles
• Excellence in:Written and verbal communicationProblem-solving complex technical challengesDelivering professional RFI/RFP responses
• Written and verbal communication
• Problem-solving complex technical challenges
• Delivering professional RFI/RFP responses
• Proven track record:Working with C-suite executivesServing as trusted advisor to Enterprise accountsBuilding long-term customer relationships
• Working with C-suite executives
• Serving as trusted advisor to Enterprise accounts
• Building long-term customer relationships
• Converting POVs to closed deals and long-term customer success
• Building compelling POV success criteria aligned with business objectives
• Creating POV strategies that accelerate sales cycles
• Written and verbal communication
• Problem-solving complex technical challenges
• Delivering professional RFI/RFP responses
• Working with C-suite executives
• Serving as trusted advisor to Enterprise accounts
• Building long-term customer relationships