Principal Product Manager, AI Custom Models

🕒 May 27

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $203.2k - $345.6k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 27%

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

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 model flexibility, self-managed deployments, and AI agent orchestration features • Collaborate with engineering, design, and product leaders to translate customer and technical needs into product direction • Define product requirements covering infrastructure, configuration, deployment, and hardware considerations • Partner with internal stakeholders across GitLab AI initiatives and broader platform strategy • Guide 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 to help 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 • Familiarity with self-hosted or self-managed software and operational needs of customers running software in their own environments • Ability to work effectively with engineers on configuration, infrastructure, deployment patterns, and hardware-related constraints • Experience leading complex product work with multiple stakeholders and making clear decisions in technically ambiguous areas • Skill in written and verbal communication in a distributed, asynchronous environment • Judgment to operate at principal scope, with ownership across strategy, execution, and cross-functional alignment • Transferable experience from 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