Director of Engineering, Security Governance

What you’ll do

• Set the engineering vision and multi-quarter roadmap across six teams focused on security policy enforcement, compliance management, security feature adoption, and AI governance, with clear quarterly outcomes for delivery and adoption. - Lead and grow a distributed engineering organization that includes engineering managers and individual contributors, with success measured by team performance, engagement, and career development outcomes. - Drive architectural decisions for policy enforcement, compliance, and AI governance systems to improve correctness, scalability, and auditability, with success measured by reliability and audit readiness. - Partner with product management to define priorities and shape requirements for platform capabilities used by security-focused enterprise customers, with a focus on adoption and roadmap delivery. - Own platform-wide AI governance infrastructure, including Flow ID, auditing for the DevSecOps AI Platform (DAP) and Software Factory, the MCP Catalog, and governance dashboards. - Represent the Security Governance group in cross-functional discussions, executive reviews, and customer conversations. - Establish engineering standards across delivery, observability, incident response, and code quality to improve delivery predictability, observability coverage, and incident response effectiveness. - 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 that include multiple teams and managers. - Strong understanding of security fundamentals, including policy enforcement, compliance frameworks such as SOC 2, ISO 27001, and FedRAMP, and software supply chain security. - Experience building platform-level or infrastructure-level systems in a SaaS or DevSecOps environment. - Ability to partner closely with product management on roadmap planning, prioritization, and requirements. - Strong written communication skills and experience leading in a remote, async-first environment. - Collaborative leadership style that supports teams, values clear feedback, and aligns with GitLab's values. - Familiarity with AI governance topics such as auditability, access control, model or tool catalogs, and responsible AI deployment, or transferable experience from related governance domains. - Exposure to MCP, AI agent orchestration tooling, enterprise regulatory environments, or open source contribution and maintainer work is useful but not required. United States Salary Range

$194,800—$365,200 USD

How GitLab Supports Full-Time Employees

• 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

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. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. 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.