GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. The Vice President of Engineering will oversee a globally distributed engineering organization, defining engineering strategy and driving operational excellence while championing AI-native practices across workflows and products.
Responsibilities:
- Define the engineering strategy for your functional area, aligning roadmap, investments, and organizational planning with GitLab's company direction
- Lead a large, globally distributed engineering organization across multiple product domains, supporting Directors, Senior Managers, Engineering Managers, and their teams
- Drive operational excellence through clear engineering metrics, strong incident management practices, and a disciplined approach to reliability, quality, and developer productivity
- Champion AI-native engineering practices across workflows, platforms, and products, including developer tooling, code review, and CI/CD
- Partner with Product Management to create a consistent, high-velocity working model between engineering and product teams
- Collaborate with Finance and executive peers on headcount planning, budgeting, forecasting, and investment tradeoffs
- Work with Sales, Marketing, Alliances, Customer Success, and security leaders to address enterprise needs and support strategic initiatives
- Represent your engineering organization in executive discussions, board-level conversations, and external forums through clear communication and transparent documentation
Requirements:
- Experience leading large engineering organizations across multiple product areas in a distributed environment, including leadership through Directors and Senior Managers
- Strong technical credibility with the ability to engage senior individual contributors and leaders on architecture, engineering quality, reliability, and system design tradeoffs
- Background building scalable frontend platforms or large-scale user-facing systems, alongside backend or infrastructure experience
- Direct experience modernizing a monolithic application into modular, independently deployable architecture in production, including runtime composition decisions and migration sequencing
- Experience developing or scaling a design system that acts as a reliable contract between platform and product teams, with attention to versioning, testing, and documentation
- Familiarity with AI-powered product development or integrating AI into developer workflows, with a clear understanding of the difference between AI features and AI-native architecture
- Ability to operate effectively in a remote-first, asynchronous, documentation-heavy culture with clear written communication and sound organizational judgment
- Strength in cross-functional leadership, including work with executive stakeholders on business cases, investment planning, customer requirements, and balancing innovation with operational stability