Note: The job is a remote job and is open to candidates in USA. DTEX is the leader in risk-adaptive security, unifying human, data, and AI risk through a behavioral intelligence platform. The Senior Pre-Sales Solution Engineer will lead technical discussions with prospective customers, deliver product demonstrations, and provide pre-sales and post-sales support while driving sales initiatives and developing effective plans to achieve revenue goals.
Responsibilities
- 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 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
Skills
- Comprehensive understanding of Insider Risk Management (IRM): 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 integration
- Metadata systems
- CASB
- Foundational AI Security & Governance Awareness: 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
- 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 Servers
- Kali Linux
- Threat simulation capabilities
- Attack scenario testing
- Light Python scripting
- Demonstrates commitment to continuous self-education: 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 success
- Building compelling POV success criteria aligned with business objectives
- Creating POV strategies that accelerate sales cycles
- Excellence in: Written and verbal communication
- Problem-solving complex technical challenges
- Delivering professional RFI/RFP responses
- Proven track record: Working with C-suite executives
- Serving as trusted advisor to Enterprise accounts
- Building long-term customer relationships
- Experience using AI tools (coding assistants, copilots, automation agents) to improve efficiency is a strong plus
Benefits
- Growth & Development – We believe in lifelong learning and provide opportunities for continuous professional development.
- Flexibility – Work in a hybrid or remote environment that balances collaboration with autonomy.
- Comprehensive Benefits – Competitive compensation, equity participation, health and wellness benefits, and generous time-off policies.
Company Overview
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