Staff Engineer Security

Staff product security engineer will define, implement, and scale security across the full lifecycle of AI/ML systems; lead the design of secure AI architectures, identify and mitigate AI-specific risks, and partner with cross-functional teams to ensure AI capabilities are developed and deployed securely and in compliance. Responsibilities include identifying, assessing, and mitigating AI-specific security risks (model poisoning, adversarial attacks, prompt injection, model inversion, data leakage, supply chain vulnerabilities); conducting threat modeling and security architecture reviews for AI/ML systems, APIs, and third-party AI services; defining and operationalizing AI security standards, controls, and guardrails aligned with industry frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs); supporting governance policies, risk management, and regulatory compliance; embedding security controls throughout the development lifecycle; evaluating third-party AI vendors and open-source models; mentoring security engineers, ML engineers, and product teams; influencing secure AI practices and communicating risk-based recommendations to senior leadership; staying current on AI threats and defense techniques; contributing to long-term AI security strategy and roadmap; and driving organizational readiness.