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Senior Product Manager, AI Platform Management
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 a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities across the platform, with a focus on the AI Control Plane that governs how agents, Model Context Protocol servers, tools, and skills are used, and when human approval is required. You will have broad scope across product strategy, execution, and stakeholder alignment for AI Platform Management. In your first year, you will shape the direction of governance, orchestration, and audit capabilities, help teams make practical decisions in an ambiguous space, and build trust with engineering, design, and partner teams by bringing well-reasoned options forward. - Some examples of our projects: Building product capabilities that help administrators govern agent behavior, approval requirements, and auditability across AI workflows - Some examples of our projects: Defining control plane experiences for agents, tools, skills, policy enforcement, and human-in-the-loop approvals across evolving AI workflows What you’ll do - Lead product discovery and delivery for AI Control Plane capabilities that help administrators manage AI usage within GitLab. - Define product direction for configuration and governance experiences related to agents, Model Context Protocol servers, tools, skills, and approval flows. - Collaborate closely with engineering, design, and partner teams across AI Governance and related product groups to turn ambiguous problems into clear plans. - Drive alignment across stakeholders by presenting trade-offs, alternatives, and product recommendations grounded in customer and business impact. - Own prioritization decisions for a platform area that supports multiple teams and products, including emerging work connected to autonomous AI experiences. - Partner with engineering managers and technical leaders across regions to deliver platform capabilities in an asynchronous, distributed environment. - Navigate cross-functional challenges with persistence, using escalation thoughtfully and only after working through options with peers. - Communicate strategy, decisions, and progress clearly so teams can move forward with shared context and accountability. What you’ll bring - Experience building product for AI platforms, AI configuration, governance, or other platform capabilities rather than only consuming third-party AI tools. - Ability to work through ambiguous, evolving technical spaces and translate them into clear product direction and execution plans. - Skill in cross-functional collaboration with engineering, design, and partner teams, including handling disagreement and driving decisions through influence. - Judgment to bring structured alternatives, trade-offs, and recommendations to leaders instead of escalating problems without context. - Ownership mindset with a strong sense of accountability, urgency, and follow-through in a role that requires persistence. - Comfort operating in a large, matrixed organization where progress depends on coordination across multiple stakeholders and teams. - Communication skills that support clear written and verbal collaboration in a distributed, asynchronous environment. - Openness to candidates with transferable product experience from adjacent platform or infrastructure domains, especially where AI, governance, or administrative control are central to the work. About the team This team sits within GitLab's Security product management organization and is focused on platform capabilities that help teams use AI with control, clarity, and accountability. The team works closely with engineering, design, and peer product groups across regions, including partners in AI Governance and adjacent areas shaping GitLab's approach to agentic workflows. You will collaborate asynchronously with teammates and counterparts in EMEA, India, and Australia while helping define product direction in an area where the technology and operating model are still taking shape. The team is working through novel questions around AI administration, configuration, and approval models as GitLab expands support for agents and related capabilities. 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’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.
