Product Security Architect (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Security Architect (Cybersecurity): Leading threat modeling and secure design reviews for a cybersecurity SaaS portfolio with an accent on AI-native security engineering and attack surface reduction. Focus on integrating LLM-driven workflows into security analysis, eliminating architectural risks, and embedding secure-by-default patterns.
Location: Remote (United States)
Company
is a global identity security leader providing a cybersecurity SaaS portfolio to protect paths to privilege.
What you will do
- Lead threat modeling, attack surface analysis, and secure design reviews across product suites, endpoint agents, and cloud-native systems.
- Develop AI-native security workflows using LLM platforms (Claude, OpenAI) to scale threat analysis, abuse-case generation, and remediation guidance.
- Collaborate with engineering teams to embed secure-by-default patterns and build self-service security playbooks and automated workflows.
- Own and expand the Product Security handbook to enforce secure design standards and feed AI workflows.
- Mentor Product Security Engineers and Security Champions on secure design and AI-first security methodologies.
- Evolve the AI-first Product Security Architecture strategy by identifying automation opportunities and capability gaps.
Requirements
- Must be based in the United States.
- 7+ years of experience in Product Security, Application Security, or Security Architecture.
- Deep practical experience with threat modeling and architecture risk analysis at scale.
- Hands-on experience using LLM platforms (Claude, OpenAI, or similar) in engineering or security workflows.
- Strong understanding of cloud-native systems, APIs, endpoint agents, and identity/security platforms.
- Proficiency in cloud security across AWS, Azure, or Kubernetes environments.
Nice to have
- Offensive security experience or an adversarial testing background.
- Experience building AI-native security plugins, agents, or developer tooling.
Culture & Benefits
- Culture rooted in flexibility, trust, and continual learning.
- AI-first operational environment where LLM-driven workflows are core to daily productivity.
- Commitment to diversity and inclusion as guiding values for team building.
- Environment that recognizes growth and individual impact on company success.
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