GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and improve operational efficiency. As the Staff Product Manager for AI Agent Orchestration, you'll define the product direction for foundational capabilities such as agent context and orchestration workflows, collaborating closely with Engineering and Design to drive strategic initiatives.
Responsibilities:
- 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
Requirements:
- 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