Director of Engineering, Security Factory
gitlab • Remote, Israel; Remote, United Kingdom
Posted: July 1, 2026
Job Description
An overview of this role
As Director of Engineering, Security Factory, you will lead the engineering organization responsible for GitLab’s customer-facing security capabilities across our AI-powered DevSecOps platform. You’ll help shape how customers detect, prioritize, and remediate vulnerabilities across modern software workflows by guiding teams that build proprietary scanners, AI-driven detection engines, agentic remediation flows, and supporting security foundations. Reporting to the VP of Engineering, Sec section, you’ll set the engineering vision and roadmap for a distributed group of nine teams, including engineering managers, and create the conditions for strong delivery, sound technical direction, and healthy team growth.
Some examples of our projects:
- Advanced proprietary scanners for Static Application Security Testing, Software Composition Analysis, Secret Detection, and related AI and machine learning detection engines
- Agentic security flows for autofix and guided remediation, plus research that strengthens AI security, threat intelligence, vulnerability management, and security foundations
What you’ll do
- Set the engineering vision and multi-quarter roadmap across teams working on proprietary scanners, AI-driven security workflows, research functions, vulnerability management, and security foundations.
- Lead a distributed engineering organization of managers and individual contributors, with a focus on team performance, engagement, and career development.
- Drive architectural decisions for AI and machine learning detection engines, agentic remediation flows, and scalable scanning infrastructure.
- Partner with product management to define priorities, shape requirements, and deliver security capabilities for customers in regulated and security-conscious environments.
- Own the engineering delivery of GitLab’s proprietary application security scanners, agentic remediation workflows, and AI Security Research efforts.
- Represent the Security Factory stage in cross-functional planning, executive reviews, security disclosures, and customer conversations.
- Establish engineering standards for delivery, observability, incident response, scanner quality, and code quality.
- Contribute to GitLab’s transparent, async-first way of working through issues, merge requests, and the GitLab handbook.
What you’ll bring
- Experience leading engineering organizations with multiple teams and managers in a distributed environment.
- Strong understanding of application security fundamentals, including Static Application Security Testing, Software Composition Analysis, secret detection, vulnerability management workflows, and software supply chain security.
- Experience building detection, analysis, or scanning systems in a software as a service or DevSecOps environment, including trade-offs across precision, recall, latency, and scale.
- Direct experience shipping a customer-facing AI or machine learning product feature tied to detection or remediation quality outcomes.
- Ability to partner closely with product management on roadmap planning, prioritization, and requirements in a product-led context.
- Strong written communication skills and comfort leading through clear documentation in a remote, async-first organization.
- Collaborative leadership style that supports teams, gives direct feedback, and aligns with GitLab’s values.
- Familiarity with agentic AI systems, AI agent orchestration, threat intelligence research, or open source security tooling is useful, and we welcome candidates with adjacent or transferable experience.
About the team
The Security Factory group builds the customer-facing security capabilities of GitLab’s AI-powered DevSecOps platform. The organization includes nine teams working across proprietary scanners, AI-driven detection, agentic remediation, research, vulnerability management, and security foundations, and it collaborates asynchronously across regions with product management and other cross-functional partners. The team is focused on improving detection quality, scaling security workflows for enterprise use, and strengthening how GitLab helps customers secure the software supply chain. For more on how this team works, see the Sec Engineering Handbook page.
Additional Content
An overview of this role
As Director of Engineering, Security Factory, you will lead the engineering organization responsible for GitLab’s customer-facing security capabilities across our AI-powered DevSecOps platform. You’ll help shape how customers detect, prioritize, and remediate vulnerabilities across modern software workflows by guiding teams that build proprietary scanners, AI-driven detection engines, agentic remediation flows, and supporting security foundations. Reporting to the VP of Engineering, Sec section, you’ll set the engineering vision and roadmap for a distributed group of nine teams, including engineering managers, and create the conditions for strong delivery, sound technical direction, and healthy team growth.
Some examples of our projects:
- Advanced proprietary scanners for Static Application Security Testing, Software Composition Analysis, Secret Detection, and related AI and machine learning detection engines
- Agentic security flows for autofix and guided remediation, plus research that strengthens AI security, threat intelligence, vulnerability management, and security foundations
What you’ll do
- Set the engineering vision and multi-quarter roadmap across teams working on proprietary scanners, AI-driven security workflows, research functions, vulnerability management, and security foundations.
- Lead a distributed engineering organization of managers and individual contributors, with a focus on team performance, engagement, and career development.
- Drive architectural decisions for AI and machine learning detection engines, agentic remediation flows, and scalable scanning infrastructure.
- Partner with product management to define priorities, shape requirements, and deliver security capabilities for customers in regulated and security-conscious environments.
- Own the engineering delivery of GitLab’s proprietary application security scanners, agentic remediation workflows, and AI Security Research efforts.
- Represent the Security Factory stage in cross-functional planning, executive reviews, security disclosures, and customer conversations.
- Establish engineering standards for delivery, observability, incident response, scanner quality, and code quality.
- Contribute to GitLab’s transparent, async-first way of working through issues, merge requests, and the GitLab handbook.
What you’ll bring
- Experience leading engineering organizations with multiple teams and managers in a distributed environment.
- Strong understanding of application security fundamentals, including Static Application Security Testing, Software Composition Analysis, secret detection, vulnerability management workflows, and software supply chain security.
- Experience building detection, analysis, or scanning systems in a software as a service or DevSecOps environment, including trade-offs across precision, recall, latency, and scale.
- Direct experience shipping a customer-facing AI or machine learning product feature tied to detection or remediation quality outcomes.
- Ability to partner closely with product management on roadmap planning, prioritization, and requirements in a product-led context.
- Strong written communication skills and comfort leading through clear documentation in a remote, async-first organization.
- Collaborative leadership style that supports teams, gives direct feedback, and aligns with GitLab’s values.
- Familiarity with agentic AI systems, AI agent orchestration, threat intelligence research, or open source security tooling is useful, and we welcome candidates with adjacent or transferable experience.
About the team
The Security Factory group builds the customer-facing security capabilities of GitLab’s AI-powered DevSecOps platform. The organization includes nine teams working across proprietary scanners, AI-driven detection, agentic remediation, research, vulnerability management, and security foundations, and it collaborates asynchronously across regions with product management and other cross-functional partners. The team is focused on improving detection quality, scaling security workflows for enterprise use, and strengthening how GitLab helps customers secure the software supply chain. For more on how this team works, see the Sec Engineering Handbook page.