Staff Product Security

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Product Security in United States.

This role sits at the forefront of product security for AI-driven, cloud-native platforms operating at scale across complex data ecosystems.
You will be responsible for embedding security throughout the software and AI development lifecycle, ensuring products are designed with resilience, privacy, and trust from the ground up.
The position plays a critical role in securing AI/ML systems, APIs, and distributed cloud architectures used to deliver advanced market intelligence solutions.
You will partner closely with engineering, data science, DevOps, and compliance teams to define and enforce secure design patterns and scalable security frameworks.
A strong focus is placed on AI security risks, including model integrity, data protection, and emerging adversarial threats.
This is a high-impact technical leadership role shaping product security strategy in a fast-paced, innovation-driven environment.

• Lead the integration of security practices across the full software and AI development lifecycle, ensuring 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.
• Identify, assess, and mitigate AI-specific threats such as prompt injection, data poisoning, model inversion, and model theft.
• Build and maintain automation frameworks that embed security into CI/CD pipelines, enabling continuous security validation and real-time vulnerability detection.
• Define and enforce secure architecture standards for cloud environments, including container security, service mesh protection, and secrets management.
• Drive software supply chain security initiatives, including dependency management, artifact integrity, and vulnerability reduction strategies.
• Collaborate with governance, compliance, and legal teams to align with frameworks such as NIST AI RMF and other global security standards.
• Provide mentorship and guidance on secure coding practices, DevSecOps, and AI security principles across engineering teams.
• Represent product security in cross-functional initiatives and contribute to strategic security decision-making at the leadership level.

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Requirements:

• 7+ years of experience in product security, application security, or cloud security engineering roles.
• Strong expertise in secure software development lifecycle (SDLC), threat modeling, and secure system architecture design.
• Deep experience securing AWS cloud environments, with knowledge of containerized and distributed systems.
• Proficiency in at least one programming language such as Python, Java, or JavaScript for security automation and tooling.
• Experience securing AI/ML systems, data pipelines, or model-serving infrastructure in production environments.
• Strong understanding of DevSecOps practices and CI/CD security integration.
• Knowledge of AI/LLM security risks and mitigation strategies is highly desirable.
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, NIST 800-53, or NIST AI RMF.
• Excellent communication skills with the ability to influence engineering and leadership stakeholders.
• Relevant certifications such as CISSP, CSSLP, or CKS are a plus.

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Benefits:

• Competitive base salary range: 184,000 USD – 252,000 USD annually.
• 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 in a fast-growing, AI-driven technology organization.
• Exposure to cutting-edge challenges in AI security, cloud infrastructure, and large-scale systems.
• Inclusive and collaborative engineering culture focused on innovation and security excellence.