Staff Product Security

7+ years of experience in product, application, or cloud security engineering. Deep understanding of secure SDLC, threat modeling, and secure architecture design. Proven expertise with AWS cloud security concepts and best practices. Strong experience with container security, orchestration, and runtime protection. Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling. Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure. Familiarity with DevSecOps and continuous integration/deployment environments.

Embed security practices throughout the SDLC and AI development lifecycle. Lead secure design reviews, threat modeling, and risk assessments. Partner with teams to ensure security, privacy, and compliance by design. Build and maintain security automation and governance frameworks. Architect and enforce security controls for AI/ML systems. Identify and mitigate AI-specific attack vectors. Collaborate with teams to align with ethical AI principles. Implement model provenance, integrity, and auditability controls. Partner with DevOps and SRE teams to secure cloud-native infrastructure. Drive software supply chain security. Build internal frameworks for continuous assurance and vulnerability management. Define and maintain reference security architectures. Mentor teams on secure coding and AI risk management. Promote a security-first culture. Represent product security in cross-functional initiatives.