Engineering Manager, AST: Composition Analysis

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As an Engineering Manager for Composition Analysis, you'll lead a team building the software composition analysis capabilities that help GitLab customers find and fix vulnerabilities in their application dependencies and software supply chain. You'll guide engineers working on software composition analysis and container scanning, and you'll be responsible for setting priorities, shaping product architecture, and running agile processes so that our security offerings stay effective, reliable, and easy to use in real DevSecOps environments.

You'll balance complex, security-focused roadmaps and author project plans so that customers get a robust composition analysis experience within GitLab. In your first year, you'll drive key initiatives like auto-remediation of vulnerable packages and auto-fix breaking changes with AI, scanning unmanaged C/C++ dependencies, static reachability analysis, malicious package detection, and snippet detection for open source dependencies.

Some examples of our projects:

• Building hyper-scale vulnerability detection engines for millions of GitLab users around the world
• Designing auto-remediation workflows for vulnerable open source and third-party dependencies
• Auto AI fixes for breaking changes that happen following dependency bumps

What you’ll do

• Lead engineers across the Composition Analysis team, setting clear priorities and expectations.
• 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.
• Balance priorities and resources across the Composition Analysis team to ensure sustainable delivery and high-quality outcomes.
• Author and maintain project plans for epics within the Composition Analysis team, aligning work, identifying dependencies, and ensuring quality delivery.
• Run agile project management processes for the Composition Analysis team, including planning, estimation, and continuous improvement of delivery practices.
• Provide guidance on the architecture of software composition analysis solutions, ensuring they are robust, scalable, and effective.
• Collaborate closely with the Composition Analysis team to ensure consistent, high-quality approaches to application security across GitLab's platform.

What you’ll bring

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

About the team

The Composition Analysis team at GitLab sits within our security product area and focuses on building and improving our software composition analysis capabilities across the DevSecOps platform. We own core features such as software composition analysis, container scanning, and related remediation workflows. You'll lead our distributed group of security-focused engineers as we collaborate asynchronously across time zones using GitLab itself for planning, code review, and delivery. Right now, we're focused on advancing capabilities like auto-remediation of vulnerable packages, scanning unmanaged C/C++ dependencies, static reachability analysis at the function level, and snippet detection for open source dependencies.

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range

$131,600—$282,000 USD

How GitLab will support you

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off 
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave 
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.