Engineering Manager, Ast: Composition Analysis

GitLab GitLab · Enterprise · Remote · Sec Engineering

Engineering Manager for GitLab's Composition Analysis team, focusing on software composition analysis and container scanning. The role involves leading engineers, setting priorities, shaping product architecture, and running agile processes. Key initiatives include auto-remediation of vulnerable packages, scanning unmanaged C/C++ dependencies, static reachability analysis, malicious package detection, and snippet detection. The team aims to leverage AI for auto-remediation and auto-fixing breaking changes.

What you'd actually do

  1. Lead engineers across the Composition Analysis team, setting clear priorities and expectations.
  2. Drive key security initiatives, including auto-remediation of vulnerable software packages, scanning unmanaged C/C++ dependencies, static reachability analysis, and snippet detection for open source dependencies.
  3. Balance priorities and resources across the Composition Analysis team to ensure sustainable delivery and high-quality outcomes.
  4. Author and maintain project plans for epics within the Composition Analysis team, aligning work, identifying dependencies, and ensuring quality delivery.
  5. Run agile project management processes for the Composition Analysis team, including planning, estimation, and continuous improvement of delivery practices.

Skills

Required

  • Background leading multiple technical teams or groups, ideally in application security or cloud security
  • Practical understanding of software composition analysis, including how to assess and manage risks in application dependencies
  • Familiarity with containerization technologies, package managers, and dependency management systems
  • Experience working with or around open source security tooling (for example, Syft, Grype, Trivy, or similar tools)
  • Ability to plan and run agile project management processes for the Composition Analysis team, including coordinating priorities and dependencies.
  • Skill in guiding product and architecture decisions for security scanning tools, balancing technical constraints with customer needs

Nice to have

  • Openness to candidates with transferable experience in security engineering, DevSecOps, or vulnerability management who are motivated to grow in application security leadership

What the JD emphasized

  • auto-remediation of vulnerable packages and auto-fix breaking changes with AI
  • Auto AI fixes for breaking changes that happen following dependency bumps

Other signals

  • AI as a core productivity multiplier
  • incorporate AI into their daily workflows
  • auto-remediation of vulnerable packages and auto-fix breaking changes with AI
  • Auto AI fixes for breaking changes that happen following dependency bumps