Principal Product Manager, AI Custom Models

## Responsibilities - Lead product strategy and roadmap definition for custom models and self-hosted AI capabilities within GitLab. - Drive discovery, prioritization, and delivery for features that support model flexibility, self-managed deployments, and AI agent orchestration use cases. - Collaborate closely with engineering, design, and other product leaders to turn complex customer and technical needs into clear product direction. - Define product requirements that account for infrastructure, configuration, deployment, and hardware considerations in self-hosted environments. - Partner with internal stakeholders across GitLab AI initiatives to ensure this product area fits into the broader platform strategy. - Guide tradeoff decisions with a strong focus on customer value, technical feasibility, and long-term platform quality. - Support knowledge transfer and continuity as the team grows and evolves, helping new work move forward with context and clarity. - Communicate plans, decisions, and priorities in a transparent way that helps distributed teams execute asynchronously. ## Requirements - Experience owning product strategy for technical platform, infrastructure, or AI-driven products. - Knowledge of AI model ecosystems, including custom model options, open models, or open weight models, and the product decisions involved in supporting them. - Familiarity with self-hosted or self-managed software and the operational needs of customers running software in their own environments. - Ability to work effectively with engineers on topics such as configuration, infrastructure, deployment patterns, and hardware-related constraints. - Experience leading complex product work with multiple stakeholders and making clear decisions in areas with technical ambiguity. - Skill in written and verbal communication, with the ability to explain product direction clearly in a distributed, asynchronous environment. - Judgment to operate at principal scope, with ownership across strategy, execution, and cross-functional alignment. - Openness to bringing transferable experience from adjacent areas such as DevSecOps, developer platforms, infrastructure software, or applied AI products. ## Benefits - Work with a high-performance culture driven by values and continuous knowledge exchange. - Collaborate with industry leaders to solve complex problems. - Be part of a team that is building technology that transforms how the world develops software. ## Nice to Have - Experience with AI agent orchestration use cases. - Experience with DevSecOps or developer platforms. - Experience with infrastructure software or applied AI products.