Lead Application Security Engineer
Core
Lead Application Security Engineer advancing security posture through AI-native practices, intelligent automation, and scalable engineering to embed security in the SDLC for a massive-scale AI marketing platform.
Role type
Lead Application Security Engineer (AI-native security)
Builds
AI-driven security automation, automated controls, and secure-by-default patterns for the Zeta Marketing Platform
Domain
AI/ML security, Application Security, Cloud Security, DevSecOps
Deliverable
production ML models | product features | infrastructure
Required skills
AI/ML security concepts (prompt injection, data poisoning), AI-assisted security workflows, modern app frameworks (React, Node.js, Django, FastAPI), API security (OAuth2, OIDC, JWT), cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), security automation tools (Semgrep, SonarQube, Burp Suite, Snyk)
Preferred skills
Experience building security bots, automated triage systems, or risk scoring models
Responsibilities
Use AI-assisted threat modeling to identify application, platform, API, cloud, data, and AI/ML security risks; Embed AI-driven security testing and automated risk detection into CI/CD pipelines; Monitor evolving security risks and identify AI-specific threats like prompt injection and model abuse; Promote secure coding practices through AI-assisted guidance and reusable playbooks
Seniority
Senior, hands-on IC