Overview
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.Responsibilities
- Lead the strategy for GitLab's agent builder and broader agent ecosystem within the GitLab Duo Agent Platform, with a focus on interoperability and an extensible platform approach.
- Define how GitLab works alongside external model and agent platforms (including OpenAI, Anthropic Claude, and Google Gemini) while creating clear product value for customers.
- Drive the roadmap for agent interoperability, including multi-agent patterns, tool integration, and Model Context Protocol (MCP) considerations.
- Partner with engineering leadership to align on vision, operating model, and execution across distributed teams.
- Collaborate with product teams across DevSecOps and Security to enable domain experts to build high-value agents and flows, and bring them into the Duo Agent Platform.
- Guide the approach for growing adoption and usage of GitLab's agent experiences, including out-of-the-box agents, the AI catalog, and custom and external agents.
- Work closely with partnerships and strategy and operations to shape ecosystem relationships and integration priorities.
- Communicate strategy, tradeoffs, and decisions clearly in an async-first environment, keeping stakeholders aligned from early discovery through delivery.
Requirements
- Experience building or leading agent builder products, including defining agent instructions, tool use, and developer experience for low-code, no-code, or code-first workflows.
- Strong understanding of the AI ecosystem, including interoperability patterns across model and agent providers (for example: OpenAI, Anthropic Claude, and Gemini).
- Knowledge of multi-agent systems and approaches for agents from different ecosystems to work together.
- Familiarity with tools and standards for agent interoperability (for example: Model Context Protocol (MCP)) and an open-platform mindset.
- Experience driving adoption of new AI products, including out-of-the-box agents, an AI catalog, and support for external and custom agents.
- Strong cross-functional collaboration skills, including partnering with engineering leadership, partnerships teams, and product teams across DevSecOps and Security to scale agent creation beyond a single team.
- Clear, direct communication and comfort working asynchronously with team members across regions; transferable experience is welcome if you have relevant agentic AI and platform background.
