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22 часа назад

Staff Product Security Engineer (AI/ML)

207 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Product Security Engineer (AI/ML): Leading the design and deployment of security capabilities for traditional application security and AI/ML systems with an accent on secure development lifecycles and AI-specific risk mitigation. Focus on building secure-by-default automation, operationalizing continuous assurance for agentic workflows, and hardening cloud-native infrastructure.

Location: Charlotte, North Carolina or Oakland, California

Salary: $207,000 – $280,000

Company

hirify.global is a global financial technology platform powering prosperity for approximately 100 million customers worldwide through products like TurboTax, Credit Karma, and QuickBooks.

What you will do

  • Lead security architecture reviews and threat modeling for cloud-native apps, APIs, and AI/ML systems including agents and MCP servers.
  • Implement and mature security controls across the SDLC and AI lifecycle, covering SAST, DAST, and SCA.
  • Develop "secure-by-default" automation, policy-as-code, and CI/CD gates to reduce vulnerabilities.
  • Evaluate and integrate open-source and vendor AppSec and AI security tooling for prompt safety and runtime monitoring.
  • Define enterprise security standards and communicate risks and roadmaps to leadership.

Requirements

  • 6+ years of experience in product or application security for large-scale systems.
  • Proven track record of operationalizing security tooling and automation within CI/CD pipelines.
  • Practical understanding of AI/ML workflows, including model registries, RAG, and agent frameworks.
  • Deep knowledge of OWASP Top 10 and modern cloud-native threats.
  • Proficiency in one or more: Python, Go, Java, TypeScript/Node, Rust, or Scala.

Nice to have

  • Experience securing agentic workflows, tool calling, and MCP servers.
  • Familiarity with LLM platforms (GPT, Gemini, Claude) and prompt injection mitigations.
  • Knowledge of provenance controls, SBOMs, and SLSA build practices.
  • Experience with GCP, AWS, Azure, Kubernetes, and Vault.
  • Strong cryptography fundamentals and real-world usage (TLS, HMAC, key management).

Culture & Benefits

  • Competitive compensation package with a strong pay-for-performance rewards approach.
  • Eligibility for cash bonuses and equity rewards.
  • Comprehensive corporate benefits for full-time employees.

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