Director of Product Management, AI Agents and Ecosystem at Gitlab

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 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. An overview of this role As the Director of Product, AI Agents and Ecosystem, you'll shape how the GitLab Duo Agent Platform connects to the fast-moving AI agent landscape. Your focus is two fold: you'll define an open, interoperable agent experience that works alongside leading models and agent platforms (including Anthropic Claude, Google Gemini, and OpenAI), and you'll drive adoption of GitLab's agent builder, AI catalog, and out-of-the-box agents and flows. You'll report to the VP of Product, AI and partner closely with engineering leadership and the security and DevSecOps product teams. In your first year, you'll set a clear ecosystem strategy, define how we approach interoperability and multi-agent systems (including tool integrations and Model Context Protocol (MCP) patterns), and create an operating model that helps teams across GitLab build, ship, and iterate on agents customers want to use. What you'll do • 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. What you'll bring • 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. About the team The Duo Agent Platform team builds the foundations that let GitLab customers use AI agents throughout the DevSecOps lifecycle. We build shared services and integration points that help teams across GitLab create, ship, and run agents and flows, including Agent Builder and ecosystem integrations. We collaborate asynchronously with Product, Engineering, Security, DevSecOps, and Partnerships across regions, with a focus on clear documentation and decision-making. The core opportunity is to deliver an interoperable platform that provides clear standalone value (not just a thin layer over other tools) and an operating model where domain teams can build high-value agents that roll up into the Duo Agent Platform. For more on how we work, see Team Handbook Page. 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$189,200—$354,800 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. 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’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.