Senior Pre-Sales Solution Engineer – Northeast

DTEX Systems • ,

4d • $140,000 - $180,000

About The Position

As part of DTEX’s Architecture and Solutions Engineering organization, the Senior Solutions Engineer combines deep security expertise with strategic sales engineering. The role leads technical discussions with prospective customers, delivers product demonstrations, conducts threat analysis and forensics, and manages technical evaluations (POVs) through successful completion. It requires hands-on expertise in endpoint security, cloud platforms, and threat simulation, as well as the ability to explain complex technical concepts to varied stakeholders. The position provides pre-sales and post-sales support to DTEX customers, partners, and sales team members, and contributes to the SE team’s technical collateral and knowledge base.

The role calls for an independent, proactive self-starter who assesses territory needs and develops plans to achieve revenue goals. The engineer identifies opportunities and acts without waiting for direction, including through outreach, marketing events, professional networks, and contributions to team knowledge. Responsibilities also include developing and updating pre-sales materials, creating enablement videos, and maintaining technical collateral and white papers.

The Senior Solutions Engineer owns the POV lifecycle, from scoping through execution and closure, and prepares post-POV analyses that communicate DTEX’s value, ROI, and security improvements. The position partners with sales and cross-functional teams, advises customers on solution design and implementation, conducts customer assessments, researches threats, tests insider-risk scenarios, evaluates product enhancements, and provides feedback on product and process improvements. It also monitors AI-related risks and customer use of AI tools, and advises on their implications for security posture and POV success criteria.

The position requires enterprise pre-sales experience and substantial technical knowledge across insider risk management, cloud platforms, endpoint, network and system security, and related security technologies. It also involves maintaining an active lab environment for threat simulation and attack scenario testing, and requires ongoing professional learning. The role includes travel within the designated region and may be performed in a hybrid or remote environment.

Requirements

• Five or more years of deep technical experience with cloud platforms such as Azure, AWS, or GCP; endpoint, network, or system security; DLP, UAM, and UBA; SIEM platforms and integration; metadata systems; and CASB.
• Comprehensive understanding of insider risk management, including insider-risk scenarios and mitigation strategies, IRM platforms and competitive solutions, buyer personas, market trends, and the competitive landscape.
• Understanding of emerging threats related to agentic AI and AI-assisted user behavior, including enterprise data protection, governance, and access-control considerations.
• Familiarity with responsible AI usage concepts and enterprise AI governance frameworks, and ability to discuss AI risks, controls, and use cases with technical and non-technical stakeholders.
• Deep understanding of the MITRE ATT&CK framework, the Lockheed Martin Kill Chain, and variants.
• Ability to maintain an active security lab, including virtual environments such as KVM or ESXi, Windows endpoints and servers, and Kali Linux; conduct threat simulation and attack scenario testing; and perform light Python scripting.
• Enterprise technical pre-sales experience.
• Demonstrated ability to drive revenue goals independently and convert POVs into closed deals and long-term customer success.
• Ability to build POV success criteria aligned with business objectives and create strategies that accelerate sales cycles.
• Strong written and verbal communication, complex technical problem-solving, and professional RFI/RFP response skills.
• Track record of working with C-suite executives, serving as a trusted advisor to enterprise accounts, and building long-term customer relationships.
• Commitment to continuous self-education, demonstrated by at least three recent courses or certifications within the past 12 months.

Nice To Haves

• Experience using AI tools such as coding assistants, copilots, or automation agents to improve efficiency.

Responsibilities

• Lead and manage the complete POV lifecycle, from scoping through execution and closure, with customer-specific use cases and measurable outcomes.
• Prepare post-POV analyses and reports that communicate DTEX’s value, ROI, and security posture improvements to multiple stakeholders.
• Communicate complex technical concepts to technical and non-technical stakeholders across IT, Security, HR, Legal, and other groups.
• Work with the sales team to develop sales and customer support plans.
• Act as a trusted advisor during pre-sales solution design and implementation.
• Coordinate customer opportunities with Sales, Customer Success, Engineering, Marketing, Product Management, and other cross-functional teams.
• Travel within the designated region.
• Create and maintain SE team resources, including enablement videos, demo scenarios, technical documentation, and white papers.
• Contribute proactively to the SE team’s collective knowledge and capability.
• Conduct regular customer assessments to evaluate policy effectiveness and whether customers are realizing value.
• Research and analyze emerging threat trends and patterns.
• Test and simulate insider-risk use cases to strengthen DTEX solution capabilities.
• Evaluate new version enhancements and relevant trends.
• Identify and communicate platform improvement opportunities to cross-functional teams.
• Recommend process and product improvements, report bugs, and submit feature requests.
• Monitor and interpret AI-related risks and their impact on insider threat, data protection, and user behavior.
• Evaluate how customer adoption of AI tools, including agentic workflows, copilots, and automation platforms, affects security posture and POV success criteria.
• Provide Product and Engineering feedback on AI-related detections, governance guidance, and customer best practices.
• Maintain an active lab environment for virtual environments, Windows endpoints and servers, Kali Linux, threat simulation, and attack scenario testing.
• Pursue continuous self-education and complete at least three recent courses or certifications within the past 12 months.

Benefits

• Competitive compensation
• Equity participation
• Health and wellness benefits
• Generous time-off policies
• Opportunities for continuous professional development
• Hybrid or remote work flexibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed