Staff Product Security Engineer – AI SDLC Leader (Remote)

Chainguard

Oregon

Hybrid

USD 205,000 - 231,000

Full time

10 days ago

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Benefits offered by this job

Remote-first culture
Stock options
Health insurance

Job summary

Chainguard is seeking a Staff Product Security Engineer to lead security initiatives across multiple products and engineering teams. This role focuses on building secure-by-default development, with emphasis on the AI SDLC and practical guardrails for responsible AI use in the development lifecycle.

You will collaborate with Engineering, Product, and Security leadership to turn complex risks into actionable, shippable improvements, and mentor others to raise the security bar across the

Qualifications

  • 7+ years of experience in software, product, application, or cloud security.
  • Experience driving security programs from design through rollout, such as secure SDLC, AI SDLC, vulnerability management, platform hardening, or security automation.
  • Practical understanding of how engineers build and ship software, with the ability to translate security requirements into workflows teams will adopt.
  • Strong hands-on familiarity with containers, Kubernetes, public cloud, and associated security controls.
  • Experience with security compliance frameworks such as SOC 2, ISO 27001, NIST, or SLSA, and the ability to translate controls into practical engineering work.
  • Ability to automate security workflows in at least one language, such as Go, Python, or Shell, and integrate them into CI/CD.
  • Proven ability to influence and align teams through clear, concise communication in a remote-first environment.
  • Strong ownership, accountability, and adaptability—you anticipate risks, navigate ambiguity, and leave systems and teams better than you found them.

Responsibilities

  • Drive product security strategy and execution across multiple products, platforms, and engineering teams.
  • Lead the evolution of Chainguard's secure SDLC, with particular emphasis on the AI SDLC and the changing risks of AI-assisted development.
  • Define and implement practical guardrails for AI use in engineering, including secure patterns, policy, workflow controls, review practices, and automation that help teams move quickly while using AI responsibly.
  • Partner with Engineering to embed security controls into the full development lifecycle, including architecture, design, coding, testing, code review, deployment, and operations.
  • Lead secure architecture reviews and threat-modeling efforts for high-impact systems; identify systemic weaknesses early and guide teams toward scalable mitigations.
  • Own cross-functional initiatives such as vulnerability reduction, security automation, and secure-by-default engineering improvements.
  • Partner with Engineering to automate vulnerability detection, triage and remediation, including policy-as-code and cloud or container security controls.
  • Champion the adoption of security tooling—including static and dynamic analysis, dependency and license checks, infrastructure-as-code scanners, and AI-related controls—within developer workflows and CI/CD.
  • Improve how Chainguard runs and consumes security assurance activities such as penetration tests, vulnerability assessments, bug bounty programs, and red-team exercises so findings result in lasting improvements.
  • Translate frameworks such as SOC 2, ISO 27001, NIST, and SLSA into durable, automation-friendly engineering controls.
  • Stay current on emerging threats, software supply-chain risks, and AI security developments, and turn them into concrete changes to our controls, tooling, and product direction.
  • Influence senior stakeholders through clear risk framing, trade-off analysis, and pragmatic recommendations.
  • Mentor Product Security Engineers and help raise the security bar across the engineering organization.

Skills

Security experience
Secure SDLC
AI SDLC
Vulnerability management
Platform hardening
Security automation
Containers
Kubernetes
Public cloud
Security controls
SOC 2
ISO 27001
NIST
SLSA
Go
Python
CI/CD
Remote communication
Ownership
Accountability
Adaptability

Job description

Chainguard is seeking a Staff Product Security Engineer to lead security initiatives across multiple products and engineering teams. This role focuses on building secure-by-default development, with emphasis on the AI SDLC and practical guardrails for responsible AI use in the development lifecycle.

You will collaborate with Engineering, Product, and Security leadership to turn complex risks into actionable, shippable improvements, and mentor others to raise the security bar across the

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