Staff Product Manager, AI Agent Orchestration

An overview of this role

As the Staff Product Manager, AI Agent Orchestration Platform at GitLab, you'll help define how intelligent agents work across our AI-powered DevSecOps platform. You'll focus on the core agent orchestration platform, shaping the product direction for foundational capabilities such as agent context, agent memory, background agents, and orchestration workflows. This role sits at the center of an important area for GitLab as we build the future of human-agent collaboration and create product experiences that are useful, reliable, and scalable for technical users.

You'll work with a high degree of latitude while partnering closely with Engineering, Design, Research, and cross-functional stakeholders to turn complex AI platform needs into clear product direction.  From day one, new hires get access to the latest AI tools and workflows, helping them stay at the cutting edge of the technology and streamline how work gets done

 In this role, you'll balance strategic thinking with execution, helping teams make sound choices about platform capabilities that enable agentic experiences across GitLab. In your first months, you'll focus on clarifying the product vision for the orchestration layer, aligning teams around key problems to solve, and driving progress on the platform foundations needed to enable AI agents to operate effectively.

Some projects in this area:

• Defining product strategy for a core AI agent orchestration platform.
• Shaping capabilities related to agent context, agent memory, and background agents.

What you'll do

• Define and drive product strategy for GitLab's AI agent orchestration platform, with a focus on core platform capabilities that support agentic workflows.
• Partner closely with Engineering and Design to identify product opportunities, prioritize platform investments, and guide execution from concept through delivery.
• Translate complex technical areas such as agent context, agent memory, and background agent behavior into clear product requirements and roadmap decisions.
• Work across teams to align platform direction with broader GitLab AI initiatives and ensure orchestration capabilities can support a range of use cases.
• Use product management best practices to drive discovery, clarify problem statements, and create shared understanding among stakeholders.
• Communicate product vision, priorities, and decisions clearly to cross-functional partners and help teams stay focused on the highest-impact work.
• Contribute as a senior product leader by bringing structure to ambiguity and helping shape how GitLab builds AI-native platform capabilities.

What you'll bring

• Deep experience in product management, including ownership of complex technical products or platforms from early definition through iteration and delivery.
• Previous agentic AI product management experience, with strong familiarity in areas such as AI orchestration, agent memory, agent context, and related platform concepts.
• Strong product judgment and the ability to work effectively in ambiguous, fast-evolving spaces where requirements and patterns are still emerging.
• Experience partnering with technical teams to shape platform products and translate sophisticated system behavior into clear priorities and requirements.
• Ability to think strategically about platform design while staying close to execution details that affect product quality and usability.
• Strong written and verbal communication skills, with the ability to explain technical AI concepts clearly to a range of stakeholders.
• A structured approach to product discovery, prioritization, and decision-making, grounded in sound product management fundamentals.
• Demonstrated ability to learn quickly, adapt product decisions as AI capabilities evolve, and stay current with changes in the AI landscape.

About the team

You'll be part of GitLab's AI Product Management team, working at the intersection of product, engineering, and design to solve new problems in a fast-evolving area of AI and DevSecOps. Our work is highly collaborative and technical, with a strong focus on turning emerging needs into clear priorities and thoughtful execution.