Staff Product Security Engineer
Core
Lead the design and implementation of secure, scalable, and trustworthy products spanning AI, data, and cloud-native systems, embedding security by design throughout the product lifecycle.
Role type
Staff Product Security Engineer (AI/ML & Cloud)
Builds
Secure AI/ML pipelines, container/cloud-native protection frameworks, and security automation for enterprise market intelligence platforms.
Domain
AI/ML security, Cloud-native security, Data security
Deliverable
production ML models | infrastructure
Required skills
Secure SDLC, threat modeling, secure architecture design, AWS cloud security, container security and orchestration, Python/Java/JavaScript, AI/ML pipeline security, DevSecOps, cryptography and secrets management, cross-functional security leadership
Preferred skills
GCP/Azure cloud platforms, LLM security, software supply chain security, compliance frameworks (SOC 2, ISO 27001, NIST), OAuth/OIDC/SAML/RBAC patterns, security certifications (CKS, CISSP)
Technologies
AWS, Kubernetes, Python, Java, JavaScript, NIST AI RMF, EU AI Act
Responsibilities
Embed security practices in SDLC; lead secure design reviews and threat modeling for AI products; build security automation and governance frameworks; architect security controls for AI/ML systems; mitigate AI-specific attack vectors (data poisoning, prompt injection); align with ethical AI principles; implement model provenance and auditability controls; secure service meshes and container networking; drive software supply chain security; define reference security architectures; mentor teams on secure coding and AI risk management.
Seniority
Staff, hands-on IC with strategic influence
