Senior Pre-Sales Solution Engineer - NY Metro Area

Brief Description As part of the DTEX Systems Architecture and Solutions Engineering organization, the Senior Solutions Engineer (SE) is a technically sophisticated role combining deep security expertise with strategic sales engineering capabilities. The SE will lead technical discussions with prospective customers, deliver compelling product demonstrations, conduct threat analysis and forensics, and manage technical evaluations (POVs) to successful conclusions. This role requires hands-on technical expertise in endpoint security, cloud platforms, and threat simulation, coupled with the ability to translate complex technical concepts for various stakeholders. The Senior Solutions Engineer provides comprehensive pre-sales and post-sales support to DTEX Systems customers, partners, and sales team members while contributing to the broader SE team's technical collateral and knowledge base. Success in This Role In this position, you'll thrive as an independent thinker and self-starter who understands that driving sales and revenue requires proactive leadership and strategic thinking. You'll be expected to assess your territory's unique needs and develop effective plans to achieve revenue goals through your own initiative. Success in this role means identifying opportunities and acting independently, without waiting for direction. You'll need to be comfortable recognizing needs and executing solutions proactively, whether that means conducting independent outreach, participating in marketing events, leveraging your professional network, or contributing to the SE team's collective knowledge base. Your contributions will include developing and updating pre-sales materials, creating SE enablement videos, maintaining technical collateral and white papers, and ensuring our SE toolbox remains current and effective. The most successful candidates in this role consistently demonstrate the ability to balance independent action with team collaboration, always keeping revenue goals and customer success at the forefront. Core Sales Engineering Responsibilities:Drive and own the complete POV lifecycle from scoping through execution and closure, ensuring successful delivery of customer-specific use cases and measurable outcomesPrepare comprehensive post-POV analysis and reports that highlight DTEX's unique value for multiple stakeholders, demonstrating clear ROI and security posture improvementsEffectively 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 plansAct as trusted advisor during presales solution design and implementationCoordinate with cross-functional groups (Sales, Customer Success, Engineering, Marketing, Product Management, etc.) for customer opportunitiesTravel within designated regionCreate and maintain SE team resources:Enablement videosDemo scenariosTechnical collateral: E.g., Documentation / Whitepapers, etc.Contribute proactively to strengthening the team's collective capability Technical & Analytical Responsibilities: Conduct regular customer assessments to evaluate policy effectiveness to assure value is being realizedResearch and analyze emerging threat trends and patternsTest and simulate insider risk use case scenarios to strengthen DTEX solution capabilitiesEvaluate new version enhancements by researching the latest trendsProactively identify and communicate platform improvement opportunities to cross-functional teamsRecommend 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 behaviorEvaluate how customer adoption of AI tools (agentic workflows, copilots, automation platforms) influences security posture and POV success criteriaProvide feedback to Product and Engineering on opportunities to enhance AI‑related detections, governance guidance, and customer best practices Technical Skills & Experience 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 landscapeDeep technical knowledge with 5+ years’ experience with: Cloud platforms (Azure / AWS / GCP)Endpoint / Network / System Security DLP, UAM and UBA SIEM platforms and integrationMetadata systemsCASBFoundational 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 bot