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We’re looking for a Staff Product Security Engineer to lead the design and implementation of secure, scalable, and trustworthy products spanning AI, data, and cloud-native systems. You’ll work closely with engineering, data science, and infrastructure teams to embed security by design throughout the product lifecycle. This role sits at the intersection of AI/ML security, secure product development, and container/cloud-native protection, helping define the architecture, automation, and frameworks that enable secure, intelligent products at scale.
Job Responsibility:
Embed robust security practices throughout the software and AI development lifecycle (SDLC)
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services
Partner with engineering and product teams to ensure security, privacy, and compliance by design
Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows
Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments
Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft
Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act
Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations
Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management
Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction
Build internal frameworks for continuous assurance and real-time vulnerability management
Define and maintain reference security architectures for microservices, APIs, and AI-powered systems deployed in the cloud
Mentor teams on secure coding, containerization best practices, and AI risk management
Promote a security-first culture through advocacy, documentation, and training
Represent product security in cross-functional initiatives and leadership discussions
Requirements:
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
Nice to have:
Experience with GCP or Azure cloud platforms
Knowledge of AI and LLM security
Experience with software supply chain security and artifact integrity verification
Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF)
Certifications such as CKS (Certified Kubernetes Security Specialist), CISSP, CSSLP, or AI/ML-focused security credentials
What we offer:
Competitive compensation, benefits, and career growth opportunities
Opportunity to shape and drive product security strategy
Collaborative and security-minded engineering culture
Work on cutting-edge security challenges in a fast-growing company
Performance-based bonus, equity, and a generous benefits program
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