GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.

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.

An overview of this role

As the Principal Product Manager, AI Governance, you'll own GitLab's AI control plane end-to-end — the set of capabilities that give organizations visibility, control, and confidence as they adopt AI across the DevSecOps lifecycle. This spans governance and policy management, admin and access controls, subscription and entitlement management, usage analytics and reporting, audit and compliance, and the platform experiences that make AI trustworthy and manageable at enterprise scale. You'll report to the Vice President of Product for AI and partner closely with engineering, design, security, and cross-functional stakeholders to define outcomes, make tradeoffs, and ship iteratively for large organizations.

In your first year, you'll focus on establishing a clear product strategy for AI Governance, translating customer demand into a prioritized roadmap, and delivering foundational capabilities that set teams up for secure, compliant, and scalable use of AI across GitLab.

Some examples of our projects:

Designing and delivering admin and governance experiences for AI analytics, including controls that support enterprise adoption.
Building subscription and entitlement controls that help organizations manage and scale AI analytics usage across teams.

What you'll do

Own the product strategy and end-to-end roadmap for AI Governance and the AI control plane, covering policy and access management, subscription and usage controls, analytics and reporting, audit and compliance, and admin configuration — all focused on unlocking broad, confident enterprise adoption of GitLab's AI capabilities.
Define and drive the governance model for AI across GitLab, including hierarchical policy controls, feature-level toggles, role-based access, data-handling settings, and model-selection preferences that give organizations the granularity they need.
Partner closely with engineering, design, security, data, legal, and cross-functional product partners (including AI Platform, Identity, and Fulfillment teams) to define requirements, align dependencies, and deliver a cohesive AI control plane that integrates cleanly across the product.
Translate customer and field feedback into clear problem statements, prioritized outcomes, and pragmatic releases that improve usability, manageability, and trust in AI-powered capabilities at scale.
Establish success metrics for AI Governance — including adoption, activation, policy coverage, and compliance posture — and use data-informed insights to guide prioritization, measure impact, and continuously improve the product.
Operate as a technical, high-autonomy product leader, bringing clarity to ambiguous problem spaces, mentoring other product managers, and representing the governance perspective in broader AI product and platform decisions.

What you'll bring

Extensive product management experience owning complex, technical products end-to-end — from customer discovery and strategy through roadmap execution and delivery — ideally in B2B SaaS platforms.
Proven experience building governance, admin, or control-plane products for AI, data, or platform capabilities, including policy management, access controls, configuration frameworks, and multi-tenant administration.
Strong understanding of AI product lifecycle and enterprise adoption patterns, including how organizations evaluate, pilot, and scale AI capabilities and the governance requirements that gate each stage.
Experience shipping enterprise readiness capabilities that drive broad adoption, such as admin settings, subscription and seat controls, usage analytics, audit logging, and policy-driven configuration.
Working knowledge of security, compliance, and regulatory concepts as they relate to AI products, including data residency, model governance, access controls, auditability requirements, and emerging AI policy frameworks (e.g., EU AI Act, NIST AI RMF).
Ability to translate complex, technical concepts — model behavior, data flows, policy logic — into clear product requirements, customer-facing value, and internal alignment across cross-functional stakeholders.
Strong customer empathy and experience partnering with enterprise customers, security teams, and compliance stakeholders to understand constraints, validate problems, and prioritize the highest-impact investments.

Remote-Global

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

$180,000—$250,000 USD

How GitLab will support you

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.

Principal Product Manager, AI Governance

Benefits

Job Description