Staff Product Security (AI)

TL;DR

Staff Product Security (AI): Embedding security throughout the software and AI development lifecycle for cloud-native platforms operating at scale across complex data ecosystems with an accent on AI/ML systems, APIs, and distributed cloud architectures. Focus on threat modeling, secure architecture reviews, risk assessments, and mitigating AI-specific threats such as prompt injection, data poisoning, and model theft.

Location: Flexible remote-first work environment within the United States

Salary: 184,000–252,000 USD annually

Company

Fast-growing, AI-driven technology organization delivering advanced market intelligence solutions.

What you will do

• Lead integration of security practices across software and AI development lifecycle for secure design, development, and deployment of cloud-native and AI-powered systems.
• Conduct threat modeling, secure architecture reviews, and risk assessments for APIs, microservices, AI/ML pipelines, and backend infrastructure.
• Design and implement security controls for AI systems including data pipelines, training environments, model serving, and inference layers.
• Build automation frameworks embedding security into CI/CD pipelines for continuous validation and vulnerability detection.
• Define secure architecture standards for cloud environments, drive software supply chain security, and collaborate on compliance frameworks.
• Mentor teams on secure coding, DevSecOps, and AI security principles, and contribute to strategic security decisions.

Requirements

• 7+ years of experience in product security, application security, or cloud security engineering
• Strong expertise in secure SDLC, threat modeling, and secure system architecture design
• Deep experience securing AWS cloud environments with containerized and distributed systems
• Proficiency in Python, Java, or JavaScript for security automation and tooling
• Experience securing AI/ML systems, data pipelines, or model-serving infrastructure in production
• Strong understanding of DevSecOps and CI/CD security integration

Nice to have

• Knowledge of AI/LLM security risks and mitigation strategies
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, NIST 800-53, or NIST AI RMF
• Relevant certifications such as CISSP, CSSLP, or CKS

Culture & Benefits

• Eligibility for performance-based bonus and equity compensation
• Comprehensive health, dental, and vision insurance coverage
• Flexible remote-first work environment within the United States
• Career development opportunities and exposure to cutting-edge AI security challenges
• Inclusive and collaborative engineering culture focused on innovation and security excellence