Presales Engineer USA

Qevlar AI • New York, NY

2d • Hybrid

About The Position

About Qevlar AI Qevlar is a B2B SaaS scale-up on a mission to boost the productivity of cybersecurity teams with Artificial Intelligence. We build an AI platform that transitions Security Operations Centers from reactive to proactive units through autonomous security alert investigations. In just three years, we have: Raised a total of $44m in series-A & seed rounds from EQT Ventures, Forgepoint Capital and Partech Deployed our solution with major Enterprises such as Sodexo and GlobalConnect, and leading MSSPs like Orange Cyberdefense Expanded to the US market with a growing North American presence Ended 2025 with a strong multi-million dollar ARR and ambitious goals for 2026 What will you do Be the technical partner to the sales team Support AEs throughout the entire sales cycle. Shape technical deal strategy and articulate how Qevlar fits into the customer’s SOC. Build strong relationships with technical evaluators and decision-makers. Run impactful, tailored demos Deliver clear, story-driven demonstrations of Qevlar’s AI SOC agent. Adapt demos to customer environments (SIEM, XDR, EDR, identity, email, cloud). Highlight real investigation flows and show measurable value. Own Proof of Value (POV) projects Scope, execute, and deliver POVs autonomously. Demonstrate quantifiable impact: MTTR reduction, accuracy uplift, analyst-hours saved, auto-closure coverage. Coach and empower technical champions inside customer teams. Ensure smooth handover from POV to production. Understand customer architectures Analyse SOC tool stacks: SIEM, SOAR, XDR, EDR, identity, network, cloud. Map Qevlar’s capabilities and integrations to customer workflows. Identify technical blockers early and propose clear paths to resolution. Solve technical challenges & build trust Respond confidently to questions around AI explainability, data privacy, deployment models and compliance. Run hands-on sessions: API integration, investigation flows, architecture deep dives. Own the technical narrative and drive customer confidence. Stay close to product & the market Track new threats, SOC trends, and AI advancements. Act as the voice of the field for Product and Engineering. Contribute to demo assets, playbooks, integration guides, and reusable templates.

Requirements

• At least 3 years in cybersecurity, ideally inside a SOC or in presales for SIEM/XDR/SOAR
• Strong understanding of alert triage, incident response, and SOC workflows.
• Comfortable working with enterprise and MSSP environments.
• Experience with technical customer interactions (workshops, troubleshooting, POVs).
• Strong communication skills and the ability to build technical champions.
• SIEM platforms
• EDR/XDR stacks (CrowdStrike, Defender, SentinelOne, etc.)
• SOAR / IR workflows
• APIs, JSON, Postman, basic scripting (bash, Python, or PowerShell)
• Cloud concepts (GCP, Azure, AWS) and basic networking
• Curious, structured, and customer-obsessed.
• Able to simplify complex ideas and tell a clear technical story.
• Comfortable presenting to analysts, managers, and CISOs.
• Ownership and problem-solving.

Responsibilities

• Be the technical partner to the sales team
• Support AEs throughout the entire sales cycle.
• Shape technical deal strategy and articulate how Qevlar fits into the customer’s SOC.
• Build strong relationships with technical evaluators and decision-makers.
• Run impactful, tailored demos
• Deliver clear, story-driven demonstrations of Qevlar’s AI SOC agent.
• Adapt demos to customer environments (SIEM, XDR, EDR, identity, email, cloud).
• Highlight real investigation flows and show measurable value.
• Own Proof of Value (POV) projects
• Scope, execute, and deliver POVs autonomously.
• Demonstrate quantifiable impact: MTTR reduction, accuracy uplift, analyst-hours saved, auto-closure coverage.
• Coach and empower technical champions inside customer teams.
• Ensure smooth handover from POV to production.
• Understand customer architectures
• Analyse SOC tool stacks: SIEM, SOAR, XDR, EDR, identity, network, cloud.
• Map Qevlar’s capabilities and integrations to customer workflows.
• Identify technical blockers early and propose clear paths to resolution.
• Solve technical challenges & build trust
• Respond confidently to questions around AI explainability, data privacy, deployment models and compliance.
• Run hands-on sessions: API integration, investigation flows, architecture deep dives.
• Own the technical narrative and drive customer confidence.
• Stay close to product & the market
• Track new threats, SOC trends, and AI advancements.
• Act as the voice of the field for Product and Engineering.
• Contribute to demo assets, playbooks, integration guides, and reusable templates.

Benefits

• Work on meaningful problems with real-world impact in cybersecurity
• A high-impact role in a small, international, fast-moving team where your contributions directly shape the company and its success
• Shape the future of a product already making noise in AI + security circles
• A company culture that values autonomy and creativity
• Opportunity for equity and early ownership
• A truly hybrid working culture.

What This Job Offers

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