Principal Product Manager, AI Custom Models
Leads strategy and execution for GitLab’s custom-model and self-hosted AI capabilities, balancing model flexibility, agent orchestration, infrastructure, deployment, and hardware needs. Requires principal-level product leadership experience in AI, infrastructure, technical platforms, or adjacent developer-focused products.
About the job
Responsibilities
- Lead product strategy and roadmap definition for custom models and self-hosted AI capabilities within GitLab.
- Drive discovery, prioritization, and delivery for model flexibility, self-managed deployments, and AI agent orchestration features.
- Partner with engineering, design, and product leaders to translate complex customer and technical needs into product direction.
- Define requirements covering infrastructure, configuration, deployment, and hardware considerations in self-hosted environments.
- Align the product area with broader GitLab AI and platform strategy.
- Make tradeoff decisions focused on customer value, technical feasibility, and long-term platform quality.
- Support knowledge transfer and continuity as the team grows.
- Communicate plans, decisions, and priorities clearly to distributed, asynchronous teams.
Requirements
- Experience owning product strategy for technical platform, infrastructure, or AI-driven products.
- Knowledge of AI model ecosystems, including custom, open, or open-weight models.
- Familiarity with self-hosted or self-managed software and the operational needs of customers running software in their own environments.
- Ability to work with engineers on configuration, infrastructure, deployment patterns, and hardware constraints.
- Experience leading complex, cross-functional product work and making decisions amid technical ambiguity.
- Strong written and verbal communication skills for distributed, asynchronous collaboration.
- Judgment appropriate for principal-level ownership across strategy, execution, and alignment.
- Transferable experience from areas such as DevSecOps, developer platforms, infrastructure software, or applied AI products.
Compensation and Benefits
- United States base salary range: $203,200–$345,600 USD.
- Benefits include flexible paid time off, health and well-being support, team member resource groups, equity compensation and employee stock purchase plan, growth and development funding, and parental leave.
Skills
Product Strategy, Product Roadmapping, Artificial Intelligence, Custom Models, Open Models, AI Agents, Self-Hosted Software, Infrastructure, Deployment, Hardware, DevSecOps, Product Requirements
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