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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 the Senior Product Manager, AI Platform Management at GitLab, you'll help define how platform teams safely operate and govern agentic AI at scale. This role sits at the center of GitLab's AI platform direction, where you'll shape the product strategy for the AI Control Plane and the foundational services that support the Agentic Factory. You'll work on problems that matter to enterprise customers, including governance, policy enforcement, auditability, and safe agent execution across fast-changing AI ecosystems.
You'll partner closely with Engineering, Design, Go-to-Market teams, and GitLab's top enterprise customers to turn complex platform and compliance needs into clear product direction. This is a role for someone who can think in systems, make choices in ambiguity, and balance near-term delivery with long-term platform architecture. In your first year, you'll focus on validating customer needs, refining the roadmap for core control plane capabilities, and helping GitLab build a strong product foundation for human-agent collaboration.
What you’ll do
- Drive product strategy and execution for GitLab's AI Platform Management area, with a focus on governance, control, and platform services for agentic AI.
- Own the AI Control Plane as the central experience for platform teams to define guardrails, configurations, governance policies, and audit evidence around agent activity.
- Own the foundational control plane services for the Autonomous Factory, including the Flow Execution Engine, the Constraint & Policy Store, and the Audit Log Service.
- Conduct competitive analysis across AI agent execution platforms, large language model providers, and adjacent market alternatives to inform product direction and differentiation.
- Identify customer problems and monetization opportunities, develop solution concepts, and validate them through close partnership with field teams and customers.
- Engage directly with GitLab's top enterprise customers for product discovery, research, design partnership, and ongoing feedback loops.
- Translate governance, compliance, and enterprise platform requirements into clear product requirements, priorities, and acceptance criteria for cross-functional teams.
- Communicate product narrative, strategy, tradeoffs, and roadmap updates effectively with internal leaders and customer stakeholders.
What you’ll bring
- Product management experience owning platform or governance products in a B2B SaaS environment, with the ability to drive strategy and execution in complex technical domains.
- Experience shipping foundational services with downstream integration points, not just features layered on top of existing systems.
- Strong platform product instincts and the ability to balance short-term roadmap needs with longer-term architectural direction.
- Deep knowledge of enterprise governance concepts such as software development lifecycle governance, policy as code, enforcement patterns, and audit trail completeness in regulated environments.
- Fluency in agentic AI concepts at the platform level, including harnesses, context, tools, MCP, skills, agent identity, registration, and session lifecycle.
- Hands-on experience with AI agent platforms or major AI providers such as OpenAI, Claude, Amazon Bedrock, Vertex, or similar ecosystems.
- Working knowledge of compliance frameworks such as the EU AI Act, ISO 42001, SOC 2, HIPAA, or related standards, and the ability to map product capabilities to customer compliance requirements.
- Strong executive communication skills and comfort operating in fast-moving, ambiguous spaces where priorities can shift while the strategic direction stays clear.
About the team
We are focused on building the platform capabilities that help GitLab support the next phase of AI-powered software development. You'll work with teammates who are solving hard product problems at the intersection of AI, platform architecture, enterprise governance, and customer confidence. Our work is highly cross-functional and has direct impact on how GitLab brings safe, manageable, and scalable agentic experiences to customers.
We operate in GitLab's all-remote, asynchronous environment and work closely across Product, Engineering, Design, Sales, and customer-facing functions. You'll be part of a group that values clear thinking, direct communication, iteration, and strong ownership. Because this area is evolving quickly, we are focused on learning fast, staying close to customers, and building durable platform foundations that can adapt as AI protocols, governance expectations, and enterprise needs continue to change.
How GitLab Supports Full-Time Employees
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.
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