Назад
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2 дня назад

Staff Security Engineer, Product & Platform (AI)

220 000 - 265 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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, Product & Platform (AI): Defining and implementing product and platform security for AI-native agentic systems, with an accent on threat modeling, cloud infrastructure security, and secure-by-default engineering. Focus on protecting agent behavior and customer data, building detection and incident response capabilities, and supporting SOC 2 controls at enterprise scale.

Location: Seattle, WA; onsite work associated with the Seattle office.

Salary: $220,000–$265,000 annually, plus performance-based annual bonus and equity awards.

Company

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

What you will do

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

Requirements

  • 8+ years of security engineering experience, including Principal- or Staff-level ownership across complex production systems.
  • Deep product security experience with threat modeling, secure architecture, authentication, authorization, and multi-tenant systems.
  • Strong hands-on experience with cloud security, Kubernetes, IAM, and infrastructure as code.
  • A 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 lessons learned.
  • A 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, including fully covered employee premiums and 75% dependent coverage.
  • Fertility and family-planning support, 401(k), and unlimited PTO.
  • Seattle office with a gym, sauna, bike parking, and free lunch three days per week.
  • Flexible work hours, collaborative learning-focused culture, and an AI-first environment with emphasis on ownership, direct communication, and customer impact.

Hiring process

  • Interviews assess AI literacy, independent thinking, communication, and problem-solving.
  • Over-reliance on AI-generated interview responses that obscures the candidate’s own perspective may result in disqualification.

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