Full-Time Application Security Architect

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.

THE ROLE We are looking for a forward-thinking Application Security Architect to lead the security of our next generation AI-driven marketing platform, predictive analytics system, and high-scale customer engagement tools. This role involves integrating security into every phase of our software development lifecycle (SDLC), especially in a fast-paced DevOps and MLOps environment.

RESPONSIBILITIES

• Lead threat modeling and security architecture reviews for distributed, event-driven, and cloud-native architectures
• Perform secure code reviews across modern languages and frameworks (Python, TypeScript, React, Node.js, and other modern stacks)
• Integrate cutting-edge SAST/DAST, Software Composition Analysis (SCA), and container scanning tools into automated SDLC and MLOps pipelines
• Secure model inference endpoints, feature stores, and data ingestion pipelines from poisoning, evasion, and data leakage attacks
• Collaborate with AI engineers, software developers, and product teams to build secure features without slowing down innovation
• Drive incident response simulations for AI-related vulnerabilities and orchestrate real-world red/blue team exercises
• Evangelize secure coding and AI security through internal training, hands-on workshops, and brown bag sessions
• Stay current with OWASP, monitor emerging threats (e.g., LLM jailbreaks, data poisoning, prompt injection) and recommend proactive controls

REQUIREMENTS

• Bachelor's degree in Computer Science, Cybersecurity, or a related field
• 2–5+ years of experience in AppSec, DevSecOps, or secure software development
• Strong grasp of OWASP Top 10, SANS CWE Top 25, MITRE ATT&CK for ML, and adversarial attack patterns
• Experience securing modern web and backend stacks (e.g., React, Node.js, Django, FastAPI, etc.)
• Familiarity with AI/ML security concepts such as model inversion, adversarial examples, and data integrity in training pipelines
• Strong grasp of OAuth2, OpenID Connect, JWT, and best practices for API and microservice security
• Experience working with or securing cloud-native platforms (AWS/GCP/Azure), containerized apps (Docker, Kubernetes)

BENEFITS & PERKS

Unlimited PTO

Excellent medical, dental, and vision coverage

Employee Equity

Employee Discounts, Virtual Wellness Classes, and Pet Insurance

And more!!

SALARY RANGE

$120,000 - $150,000, depending on location and experience.

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