About this Job:
As part of the DTEX 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 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 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
Technical & Analytical Responsibilities:
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
Technical Skills & Experience
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
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 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
Professional Competencies:
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
Why Join Us?
Impact at Scale – Build and lead DTEX’s first sales enablement function, shaping how we scale commercial excellence across the world.
Thriving Company Culture – At DTEX, we foster a values-driven environment that prioritizes respect, inclusion, and collaboration.
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.
About DTEX
DTEX is the leader in risk-adaptive security, unifying human, data, and AI risk through a behavioral intelligence platform. Built for enterprise scale, DTEX detects threats early and prevents breaches before they impact the business.
By analyzing how people, data, and AI systems interact, DTEX surfaces early indicators of risk that other tools miss and provides the context needed to act with precision. The platform brings together insider risk management, risk-adaptive data protection, user and entity behavior analytics, user activity monitoring, and AI risk management into a single, cohesive solution.
Organizations and governments worldwide rely on DTEX to protect sensitive data, enable secure innovation, and safeguard trust. With privacy-by-design telemetry and adaptive controls, security teams can reduce risk without disrupting productivity.
Joining DTEX means working on some of the most complex and high-impact security challenges facing enterprises today.
DTEX is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, gender, religion, sex, national origin, age, disability, or genetics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Exact compensation may vary based on skills, experience, and location.
Base salary range (SF Bay Area): $140k-$180k.