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Director, Security Engineering (AI)

200 000 - 225 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
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
Director, Security Engineering (AI) (Product, Cloud, and AI Security): Leading product security, AWS cloud and infrastructure security, and AI security across R&D with an accent on threat modeling, secure release gates, vulnerability management, and controls for LLM risks. Focus on designing security standards for AI agents and services, managing cloud access and guardrails, and building a high-performing security engineering team.

Location: US-REMOTE; Remote

Salary: $200K–$225K

Company

Instructure creates products that support learning, education, and personal development.

What you will do

  • Lead product security across R&D, including threat modeling, design reviews, release gates, product launch approvals, penetration testing, and bug bounty intake.
  • Lead cloud and infrastructure security across AWS, including IAM, guardrails, infrastructure as code, patching, secrets rotation, privileged access, non-human access, and WAF standards.
  • Define AI security standards and controls for prompt injection, excessive agent permissions, tool abuse, data leakage, RAG, connectors, third-party AI services, and shadow AI.
  • Set security architecture, secure SDLC, vulnerability management, scanning gates, remediation SLAs, exception handling, and release criteria.
  • Support customer security reviews, deliver Security Engineering commitments, and track Engineering commitments with the VP of Engineering.
  • Hire, lead, and develop the Security Engineering team, including writing role descriptions and maintaining development plans.

Requirements

  • 10+ years of experience in security engineering, including 5+ years leading security teams.
  • Experience leading product security and cloud security teams, with hands-on depth in cloud environments.
  • Practical knowledge of AI and LLM security risks, including prompt injection, agent abuse, and data leakage.
  • Knowledge of frameworks such as OWASP Top 10 for LLM Applications and NIST AI RMF.
  • Experience influencing senior Engineering leaders on design and risk trade-offs.
  • Experience in SaaS, ideally involving regulated data such as education records covered by FERPA and COPPA.
  • Must work remotely from the United States.
  • Must pass a background check and identity verification; inaccurate personal or professional information results in disqualification.

Culture & Benefits

  • Full-time employment includes competitive compensation and participation in an ownership program.
  • Remote, hybrid, and in-office collaboration options vary by role, team, and location.
  • Generous time off, local holidays, and an annual late-December “Dim the Lights” period, subject to departmental needs.
  • Wellness programs, mental health support, learning resources, professional development tools, and tuition reimbursement.
  • Technology and tools for work, an employee recognition program, and an inclusive culture focused on support and meaningful connection.

Hiring process

  • All employees must pass a background check.
  • Candidates may be required to verify their legal name, current physical location, contact number, and residential address in accordance with local privacy laws.

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