
1 - 10 employees
đ Cybersecurity
đ¤ Artificial Intelligence
âď¸ SaaS
Cybersecurity ⢠Artificial Intelligence ⢠SaaS
Aegis AI Security is an AI-native email security company that uses orchestrated AI agents to detect and stop phishing, business email compromise (BEC), malware, and zero-day email threats in real time. The platform deploys via API to Google Workspace and Microsoft 365 with no MX record changes, offering rapid integration, automated triage and remediation, low false positive rates, and enterprise-grade reporting and compliance (SOC 2 Type II). Aegis positions itself as a SaaS solution for security teams, reducing alert fatigue and manual rule management by replacing brittle rule-based Secure Email Gateways with self-learning, agent-driven detection and response.
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1 - 10 employees
đ Cybersecurity
đ¤ Artificial Intelligence
âď¸ SaaS
Cybersecurity ⢠Artificial Intelligence ⢠SaaS
Aegis AI Security is an AI-native email security company that uses orchestrated AI agents to detect and stop phishing, business email compromise (BEC), malware, and zero-day email threats in real time. The platform deploys via API to Google Workspace and Microsoft 365 with no MX record changes, offering rapid integration, automated triage and remediation, low false positive rates, and enterprise-grade reporting and compliance (SOC 2 Type II). Aegis positions itself as a SaaS solution for security teams, reducing alert fatigue and manual rule management by replacing brittle rule-based Secure Email Gateways with self-learning, agent-driven detection and response.
⢠Build the next generation of security products at Aegis ⢠Turn large volumes of noisy security data into high-confidence detections ⢠Influence and participate in model creation ⢠Understand changing behavioral norms across users and organizations ⢠Move detection ideas from prototype to reliable production systems ⢠Measure system correctness through evaluation systems and production feedback loops ⢠Build systems balancing latency, precision, reliability, privacy, cost, and customer trust ⢠Work across detection systems, distributed infrastructure, product surfaces, and AI inference ⢠Own the path from raw data to customer-visible security decisions ⢠Ship code, understand systems, set technical direction, and establish credibility through execution ⢠Lead projects and engineers, own parts of the technical roadmap, participate in hiring, and help shape team operations as scope grows
⢠Staff-level technical scope, or equivalent experience leading technically complex systems and teams ⢠Experience building production systems where false positives, correctness, reliability, or risk mattered ⢠Ability to move between architecture and implementation ⢠Comfort making decisions with incomplete information and updating them as new information emerges ⢠Ability to prioritize across multiple important problems ⢠Ability to communicate technical decisions clearly in writing ⢠Ability to make other engineers more effective, with or without formal management experience ⢠Desire for significantly more responsibility than current environment provides ⢠Bonus: experience in security detection, fraud, abuse, adversarial systems, behavioral or anomaly detection, data-intensive distributed systems, production LLM decision-making, ML/AI evaluation systems and labeled datasets, enterprise security products or integrations, early product adoption, or early-stage engineering teams
⢠Significant leadership growth opportunity as scope expands ⢠High autonomy and corresponding responsibility ⢠Unusual ownership of architecture, product direction, and customer experience ⢠Opportunity to participate in hiring and grow into formal engineering leadership ⢠Work with experienced engineers who built defensive systems at massive scale ⢠Fast iteration and meaningful influence over product priorities ⢠Opportunity to work on AI and security problems with measurable production impact
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