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Senior Pre-Sales Solution Engineer - APAC jobs in United States
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DTEX · 3 weeks ago

Senior Pre-Sales Solution Engineer - APAC

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 manage technical evaluations while providing pre-sales and post-sales support to customers and partners.
Big DataCyber SecurityProperty & Casualty InsuranceSoftwareBusiness IntelligencePredictive AnalyticsRisk ManagementSecurity
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

Insider Risk ManagementCloud platforms - AzureCloud platforms - AWSCloud platforms - GCPEndpoint SecurityNetwork SecuritySystem SecurityData Loss Prevention (DLP)User Activity Monitoring (UAM)User Behavior Analytics (UBA)Security Information and Event Management (SIEM)Metadata systemsCloud Access Security Broker (CASB)MITRE ATT&CK frameworkLockheed Martin Kill ChainVirtual Environments - KVMVirtual Environments - ESXiWindows Endpoints and ServersKali LinuxThreat simulationPython scripting

Required

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)
Deep technical knowledge with 5+ years' experience with Endpoint / Network / System Security
Deep technical knowledge with 5+ years' experience with DLP, UAM and UBA
Deep technical knowledge with 5+ years' experience with SIEM platforms and integration
Deep technical knowledge with 5+ years' experience with Metadata systems
Deep technical knowledge with 5+ years' experience with 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 Virtual Environments (KVM, ESXi, etc.)
Ability to maintain an active lab environment including, but not limited to Windows Endpoints and Servers
Ability to maintain an active lab environment including, but not limited to Kali Linux
Ability to maintain an active lab environment including, but not limited to Threat simulation capabilities
Ability to maintain an active lab environment including, but not limited to Attack scenario testing
Ability to maintain an active lab environment including, but not limited to 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
Demonstrate success in building compelling POV success criteria aligned with business objectives
Demonstrate success in creating POV strategies that accelerate sales cycles
Excellence in written and verbal communication
Excellence in problem-solving complex technical challenges
Excellence in delivering professional RFI/RFP responses
Proven track record working with C-suite executives
Proven track record serving as trusted advisor to Enterprise accounts
Proven track record building long-term customer relationships

Preferred

Experience using AI tools (coding assistants, copilots, automation agents) to improve efficiency is a strong plus

Company

DTEX

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DTEX is the leader in risk-adaptive security, unifying human, data, and AI risk through a behavioral intelligence platform.

H1B Sponsorship

DTEX has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Engineering and Development
Trends of Total Sponsorships
*2026 (1)
2025 (3)
2024 (1)
2023 (3)
2022 (2)
2021 (3)
2020 (1)

Funding

Current Stage
Late Stage
Total Funding
$122.53M
Key Investors
CapitalGNorthgate CapitalNorwest
2024-03-05Series E· $50M
2020-05-06Series D· $17.5M
2018-12-26Series C· $0.5M

Leadership Team

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Bahman Mahbod
President & CEO
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Marshall Heilman
Chief Executive Officer
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Company data provided by crunchbase