VP of Product Security

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 Vice President of Product Security, you will define how security is built into GitLab's AI-powered DevSecOps platform and the products and services that support it. Reporting to the Chief Information Security Officer, you will lead GitLab's Product Security organization with end-to-end responsibility for product and service security, with a primary focus on secure product design and delivery and a secondary focus on the infrastructure and cloud systems behind it. This is, first and foremost, a product engineering leadership role. We are looking for someone who has built and shipped product at a high-growth AI or SaaS company—someone who understands the speed at which product teams move, the tradeoffs inherent in shipping features at scale, and how to make security a native property of the product rather than a layer applied on top. The most successful candidates will have owned product architecture, developer experience, and security outcomes as a product engineering leader. Infrastructure and cloud security matter here, but they are in service of the product—not the other way around. In this role, you help make security a native property of the product, partner closely with senior leaders across Engineering, Product, AI, and Security, and shape outcomes such as stronger security architecture, scalable security services, and predictable security processes that support fast product delivery. Some examples of our projects: - Building core security platform capabilities such as authentication and authorization services, secrets management, permission models, and audit instrumentation - Defining security strategy for AI-powered features and agentic platform capabilities, including prompt injection defenses, model and data protections, and governance for AI features What you’ll do - Set the long-term strategy and operating model for Product Security across GitLab.com, GitLab Dedicated, and self-managed offerings - Lead a global, multi-disciplinary organization spanning: - Application Security - Product Security Engineering / security tooling - Security Architecture and Platforms - Vulnerability Management - Product Security Incident Response (PSIRT) - Infrastructure, Cloud, and Data Security - Partner with the Chief Technology Officer, Chief Product Officer, Chief Information Security Officer, Vice President of AI Engineering, and other R&D leaders to embed security into product architecture, planning, and delivery - Own the roadmap for core security services and developer-facing platform capabilities, including authentication, authorization, secrets management, auditability, and security APIs - Drive secure design reviews, threat modeling, and risk-based security practices that help product teams ship securely without adding unnecessary friction - Guide GitLab's approach to AI and agentic security, including security architecture, governance decisions, and risk acceptance for new AI surfaces - Oversee vulnerability management, product security incident response, and bug bounty operations, using trends and root-cause analysis to inform durable product and process improvements - Establish clear security metrics, planning inputs, and risk visibility that support executive decision-making, customer conversations, and engineering prioritization What you’ll bring - Experience operating as a senior engineering or security leader with strong product engineering credibility and ownership of security-relevant product architecture - Experience building, shipping, and operating services in a high-growth SaaS or AI env

Experience operating as a senior engineering or security leader with strong product engineering credibility and ownership of security-relevant product architecture. Experience building, shipping, and operating services in a high-growth SaaS or AI environment.

Set the long-term strategy and operating model for Product Security across GitLab.com, GitLab Dedicated, and self-managed offerings; Lead a global, multi-disciplinary organization spanning: Application Security; Product Security Engineering / security tooling; Security Architecture and Platforms; Vulnerability Management; Product Security Incident Response (PSIRT); Infrastructure, Cloud, and Data Security; Partner with the CTO, CPO, CISO, VP of AI Engineering, and other R&D leaders to embed security into product architecture, planning, and delivery; Own the roadmap for core security services and developer-facing platform capabilities, including authentication, authorization, secrets management, auditability, and security APIs; Drive secure design reviews, threat modeling, and risk-based security practices that help product teams ship securely without adding unnecessary friction; Guide GitLab's approach to AI and agentic security, including security architecture, governance decisions, and risk acceptance for new AI surfaces; Oversee vulnerability management, product security incident response, and bug bounty operations, using trends and root-cause analysis to inform durable product and process improvements; Establish clear security metrics, planning inputs, and risk visibility that support executive decision-making, customer conversations, and engineering prioritization.