GitLab
DevSecOps
PrincipalProductManager,AICustomModels
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Product Manager, AI Custom Models at GitLab. Skills: Product strategy, AI Custom Models, Self-hosted AI. Lead product strategy and roadmap definition for custom models and self-hosted AI capabilities. Drive discovery, prioritization, and delivery for features supporting model flexibility”
What You'll Achieve.
Increase developer productivity; Improve operational efficiency; Reduce security and compliance risk; Accelerate digital transformation; Build a more flexible and effective AI offering; Deliver a transition and roadmap during growth
Industry & Context.
Solve complex problems
What They're Looking For.
Must Have
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, 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
Nice to Have
Openness to bringing transferable experience from adjacent areas such as DevSecOps, developer platforms, infrastructure software, or applied AI products
What You'll Do.
Lead product strategy and roadmap definition for custom models and self-hosted AI capabilities
and delivery for features supporting model flexibility
Define product requirements for self-hosted environments
Guide tradeoff decisions focusing on customer value
Support knowledge transfer and continuity as the team grows
and priorities transparently
How You'll Work.
Team & Collaboration
Collaborate closely with engineering, design, and other product leaders; Partner with internal stakeholders across GitLab AI initiatives; Close partnership across product, engineering, and design in multiple regions
Communication Scope
Written communication; Verbal communication; Explain product direction clearly; Transparent communication
Process & Methodology
Prioritization, Execution
Full Job Description
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. 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 a Principal Product Manager, you will shape a critical part of GitLab's AI product direction by helping customers run advanced AI capabilities in environments that match their infrastructure, security, and deployment needs. This role is focused on custom models and self-hosted AI experiences, where product decisions need to balance model choice, agent-based workflows, platform usability, and operational realities like configuration, infrastructure, and hardware. You will report into product leadership and play a key role in defining strategy, partnering across engineering and design, and helping the team del
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