Principal Product Manager, AI Custom Models

🕒 May 27

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave