Customer Engineer/Solutions Engineer
AegisAI
Customer Engineer/Solutions Engineer
AegisAI
Real-time weapon detection via CCTV AI
About AegisAI
AegisAI is redefining email and cybersecurity with native, Agentic AI threat detection. Backed by $36M in Series A funding led by Battery Ventures with Accel and Foundation Capital, we build autonomous AI security agents that stop zero-day attacks, payload-less phishing, BEC, and shadow AI risks before they touch enterprise networks.
Our mission is to replace legacy Secure Email Gateways (SEGs) with API-native protection that connects in minutes without MX record changes or infrastructure friction. We are fast-paced, product-led, and driven by deep AI engineering.
The Role
We are looking for a Customer Engineer who pairs deep AI fluency with hands-on technical architecture and customer-facing agility. As a Sales Engineer at AegisAI, you will be the technical powerhouse driving enterprise technical evaluations, guiding API-first installations, analyzing threat evaluation data, and architecting custom security integrations for prospective customers.
You’ll bridge the gap between complex Agentic AI models and security operations (SecOps) teams, proving how AegisAI catches the sophisticated threats legacy systems miss.
What You’ll Do
Architect Enterprise AI Security Solutions: Partner closely with Enterprise Account Executives to design, present, and position AegisAI’s platform to CISOs, Security Architects, and SecOps leaders.
Drive API-First Onboarding & PoCs: Guide prospective clients through seamless, read-only API deployments—enabling enterprise customers to connect AegisAI in under 5 minutes without MX record changes or downtime.
Analyze & Deliver Threat Reports: Parse raw detection data, benchmark AegisAI against legacy SEGs, and present compelling threat audits to prospects, demonstrating zero-day threats, BEC, and impersonation attempts caught.
Master Agentic AI & AI Risk: Deeply understand our Agentic AI detection models, AI Red Teaming agents, and Shadow AI/SaaS discovery capabilities to clearly articulate how our models operate compared to basic machine learning or rule-based engines.
Customer-to-Product Feedback Loop: Work directly with our Engineering, Threat Intelligence, and Product teams to translate customer feedback, API feature requests, and edge cases into our product roadmap.
What We’re Looking For
3+ years of experience as a Sales Engineer, Solutions Architect, or Technical Account Manager in Cybersecurity (Email Security, Cloud Security, SIEM/SOAR, or Identity Management preferred).
AI & Machine Learning Fluency: Strong conceptual and technical understanding of modern AI architectures, NLP, agentic systems, and how ML models detect anomalous payload-less attacks.
Hands-on API & Cloud Technical Skills: Comfortable with REST APIs, cloud email infrastructure (Microsoft 365, Google Workspace), and basic scripting/querying to inspect log data and troubleshoot API integrations.
Data-Driven Storytelling: Demonstrated ability to take raw threat detection analytics and translate them into executive-level risk assessments for CISOs and security stakeholders.
Fast-Paced Startup Mentality: Thrives in a rapidly scaling Series A environment where flexibility, ownership, and direct collaboration with engineering are daily requirements.
Nice to Haves
Experience competing against or replacing traditional Secure Email Gateways (SEGs).
Knowledge of Shadow AI discovery, SaaS governance, or enterprise identity risk.
Background in threat hunting, SOC analysis, or detection engineering.
Why AegisAI?
High-Impact Work: Build and sell software at the bleeding edge of Agentic AI and cybersecurity.
World-Class Team: Work alongside top-tier AI researchers, threat intelligence leaders, and enterprise security veterans.
Competitive Compensation: Top-of-market salary, equity packages, and comprehensive benefits.
AegisAI provides a security software platform that turns existing security cameras into weapon-detection devices. It offers a Software-as-a-Service (SaaS) solution that integrates with clients’ video management systems without new hardware, enabling real-time firearm detection through deep learning computer vision. When a weapon is identified, the system sends alerts to on-site security and local law enforcement within seconds, including the weapon’s location, to enable a fast response. It avoids facial recognition and only analyzes data related to threats, deleting non-critical data to protect privacy. Compared to competitors, it emphasizes weapon identification with seamless camera integration, privacy-conscious data handling, and rapid, actionable alerts. The goal is to reduce gun violence and prevent mass shootings by enabling earlier detection and response in places like schools and offices.
Explore more opportunities at AegisAI