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 the Staff Product Manager, AI Agent Orchestration Platform at GitLab, you'll help define how intelligent agents work across our AI-powered DevSecOps platform. You'll focus on the core agent orchestration platform, shaping the product direction for foundational capabilities such as agent context, agent memory, background agents, and orchestration workflows. This role sits at the center of an important area for GitLab as we build the future of human-agent collaboration and create product experiences that are useful, reliable, and scalable for technical users.

You'll work with a high degree of latitude while partnering closely with Engineering, Design, Research, and cross-functional stakeholders to turn complex AI platform needs into clear product direction. From day one, new hires get access to the latest AI tools and workflows, helping them stay at the cutting edge of the technology and streamline how work gets done

In this role, you'll balance strategic thinking with execution, helping teams make sound choices about platform capabilities that enable agentic experiences across GitLab. In your first months, you'll focus on clarifying the product vision for the orchestration layer, aligning teams around key problems to solve, and driving progress on the platform foundations needed to enable AI agents to operate effectively.

Some projects in this area:

Defining product strategy for a core AI agent orchestration platform.
Shaping capabilities related to agent context, agent memory, and background agents.

What you'll do

Define and drive product strategy for GitLab's AI agent orchestration platform, with a focus on core platform capabilities that support agentic workflows.
Partner closely with Engineering and Design to identify product opportunities, prioritize platform investments, and guide execution from concept through delivery.
Translate complex technical areas such as agent context, agent memory, and background agent behavior into clear product requirements and roadmap decisions.
Work across teams to align platform direction with broader GitLab AI initiatives and ensure orchestration capabilities can support a range of use cases.
Use product management best practices to drive discovery, clarify problem statements, and create shared understanding among stakeholders.
Communicate product vision, priorities, and decisions clearly to cross-functional partners and help teams stay focused on the highest-impact work.
Contribute as a senior product leader by bringing structure to ambiguity and helping shape how GitLab builds AI-native platform capabilities.

What you'll bring

Deep experience in product management, including ownership of complex technical products or platforms from early definition through iteration and delivery.
Previous agentic AI product management experience, with strong familiarity in areas such as AI orchestration, agent memory, agent context, and related platform concepts.
Strong product judgment and the ability to work effectively in ambiguous, fast-evolving spaces where requirements and patterns are still emerging.
Experience partnering with technical teams to shape platform products and translate sophisticated system behavior into clear priorities and requirements.
Ability to think strategically about platform design while staying close to execution details that affect product quality and usability.
Strong written and verbal communication skills, with the ability to explain technical AI concepts clearly to a range of stakeholders.
A structured approach to product discovery, prioritization, and decision-making, grounded in sound product management fundamentals.
Demonstrated ability to learn quickly, adapt product decisions as AI capabilities evolve, and stay current with changes in the AI landscape.

About the team

You'll be part of GitLab's AI Product Management team, working at the intersection of product, engineering, and design to solve new problems in a fast-evolving area of AI and DevSecOps. Our work is highly collaborative and technical, with a strong focus on turning emerging needs into clear priorities and thoughtful execution.

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range

$168,000—$285,600 USD

How GitLab Supports Full-Time Employees

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

GitLab AI Jobs

Latest AI Jobs at GitLab

Staff Product Manager, AI Agent Orchestration