Назад
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2 дня назад

Staff Security Engineer, AI

220 000 - 265 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Security Engineer, AI (AI/Product Security): Defining and implementing end-to-end product and platform security for agentic enterprise marketing systems with an accent on threat modeling, secure architecture, cloud infrastructure, and LLM security. Focus on hardening Kubernetes and IAM environments, building detection and incident response capabilities, and securing AI agents and multi-tenant production systems at enterprise scale.

Location: Seattle, WA; onsite role at the Seattle office.

Salary: $220,000–$265,000 annually.

Company

hirify.global is building an AI-native system of work for enterprise marketing, using agents to execute campaigns across existing tools, teams, and workflows.

What you will do

  • Define and drive product and platform security strategy, prioritizing investments against the most important risks.
  • Lead threat modeling for the agentic platform and design protections for agent behavior, permissions, isolation, customer data, and platform boundaries.
  • Harden production application and cloud infrastructure, including access controls, IAM, secrets management, and the CI/CD supply chain.
  • Build secure-by-default patterns with engineering teams for agents, services, and infrastructure.
  • Own security detection and incident response, including logging standards, detection coverage, and response processes.
  • Represent technical security in enterprise customer reviews, architecture discussions, and SOC 2 control implementation.

Requirements

  • 8+ years of security engineering experience, including Principal- or Staff-level ownership across complex production systems.
  • Deep product security experience across threat modeling, secure architecture, authentication and authorization, and multi-tenant systems.
  • Strong hands-on experience with cloud security, Kubernetes, IAM, and infrastructure as code.
  • Strong technical perspective on securing LLM and agent-based systems, with the ability to reason about emerging risks from first principles.
  • Experience leading security incident response for production services and improving systems based on findings.
  • Track record of writing and shipping production code, security tooling, or infrastructure rather than only reviewing others’ work.
  • Strong judgment and comfort making pragmatic security tradeoffs in fast-moving environments without an established playbook.
  • Clear communication with engineers, company leadership, and enterprise customer security teams.

Nice to have

  • Experience as an early security hire at a high-growth B2B SaaS, AI, or infrastructure company.
  • Experience building security detections, telemetry, and logging pipelines in cloud environments.
  • Experience implementing technical controls for SOC 2 or ISO 27001, or contributing to AI security research, standards, or open-source security tooling.

Culture & Benefits

  • Performance-based annual bonus and meaningful equity awards.
  • Medical, dental, and vision coverage; employee coverage is fully covered and dependent coverage is 75%.
  • Fertility and family-planning support, 401(k) plan, and unlimited PTO.
  • Seattle office with a gym, sauna, bike parking, and free lunch three days per week.
  • Flexible work hours, collaborative culture, learning opportunities, and a fast-paced environment focused on ownership and impact.

Hiring process

  • AI literacy is evaluated as part of hiring.
  • Interviewers assess the candidate’s own thinking, communication, and problem-solving; over-reliance on AI-generated interview responses may result in disqualification.

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