Product Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Security Engineer (AI): Building and scaling the product security function at a high-growth AI startup with an accent on architectural guidance, threat modeling, and secure-by-default engineering practices. Focus on operationalizing security for AI-enabled systems, cloud-native infrastructure, and developer tooling to ensure robust protection at scale.
Location: Must be based in or able to work from Orange County, Denver, Seattle, or San Francisco (Hybrid)
Salary: $185,000 – $220,000
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is a venture-backed AI startup providing a real-time compensation intelligence platform for enterprise teams.
What you will do
- Perform architecture reviews, threat modeling, and security design reviews across applications, APIs, and AI-enabled systems.
- Develop security standards, reference architectures, and secure design patterns to enable teams to build securely by default.
- Define and improve the Secure Software Development Lifecycle (SDLC) across engineering workflows.
- Design and build reusable security patterns, libraries, and developer tooling to scale security practices.
- Define and operationalize secure patterns for AI-enabled products, agents, and retrieval systems.
- Partner with Platform Engineering on cloud security posture, infrastructure hardening, and secrets management.
Requirements
- 5+ years of Software Engineering experience building and shipping production software.
- Strong programming fundamentals in at least one modern language.
- Experience performing application security reviews, threat modeling, or security design reviews.
- Strong understanding of cloud security, IAM, CI/CD, containers, and infrastructure-as-code.
- Ability to translate security risk into business and engineering terms to influence leadership.
- Must be able to work in a hybrid capacity at one of our engineering sites (Orange County, Denver, Seattle, or San Francisco).
Nice to have
- Experience securing cloud-native infrastructure in AWS environments.
- Experience designing enterprise-facing capabilities such as SAML, SCIM, RBAC, or audit logging.
- Experience building or scaling a Product Security function in a high-growth technology ny.
- Experience building or securing AI-enabled products or retrieval systems.
Culture & Benefits
- Collaborative, curious, and driven team environment.
- Values transparency, ownership, and continuous learning.
- Equity compensation included.
- Focus on in-person collaboration to drive innovation.
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