Remote
Staff Product Security Engineer
About this role
Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake.
Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. Staff Product Security Engineer Remote: United States, UK, Canada The role, in a nutshell At Chainguard, our security posture is our competitive advantage. As a Staff Product Security Engineer, you will help make secure-by-default development a reality across our products and engineering organization.
You will lead high-impact, cross-functional security initiatives; partner closely with Engineering, Product, and Security leadership; and turn complex risks into practical, shippable improvements. A key focus of this role is the AI SDLC: establishing the policies, tooling, and guardrails that enable engineers to use AI responsibly and do the right thing by default—from design and coding through testing, review, deployment, and operations.
This is a hands-on staff-level role for someone who can operate independently, influence multiple teams without direct authority, and raise the security maturity of the organization through both technical execution and strong partnership. What you’ll do 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.