Principal Product Manager, AI Control Plane and Guardrails at Gitlab

This role is designed for a high-autonomy product leader with deep roots in B2B SaaS and enterprise platform governance. The ideal candidate has a technical bac

Work type: remote

Location: Remote, Canada; Remote, France; Remote, Germany; Remote, Ireland; Remote, Netherlands; Remote, Spain; Remote, United Kingdom; Remote, US

Salary: $180,000 – $250,000/yr

Type: Full-time

Summary

This role is designed for a high-autonomy product leader with deep roots in B2B SaaS and enterprise platform governance. The ideal candidate has a technical background in building the "connective tissue" of a platform—specifically the administration, policy frameworks, and compliance guardrails that allow large organizations to deploy AI safely. You should have a sophisticated understanding of how enterprises audit and control data flows within AI lifecycles. GitLab offers a highly competitive salary ($180k–$250k) and a "remote-first" culture that truly embraces flexibility and asynchronous work. As a Principal-level hire reporting to the VP of AI, you’ll have significant influence over the company’s AI roadmap, moving beyond just building features to defining the governance standards that unlock enterprise-wide adoption. **You might be a good fit if you...** * Have led the end-to-end delivery of complex technical products like IAM, usage analytics, or policy engines. * Understand the regulatory landscape for AI, including frameworks like the EU AI Act or NIST RMF. * Excel at translating complex backend model behaviors into clear, user-friendly admin controls for IT and security teams. * Thrive in high-growth, remote environments where you are expected to mentor others and drive strategy independently.

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](https://handbook.gitlab.com/handbook/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](https://www.youtube.com/watch?v=OuZIb5zszQI) 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 Principal Product Manager, AI Control Plane and Guardrails, 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 Guardrails and 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 and 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 Supports Full-Time Employees

[Benefits to support your health, finances, and well-being](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/)

[Flexible Paid Time Off](https://handbook.gitlab.com/handbook/people-group/paid-time-off/)

[Team Member Resource Groups](https://about.gitlab.com/company/culture/inclusion/erg-guide/#:~:text=Definition%20of%20the%20TMRG%20%2D%20Team%20Member%20Resource%20Groups,-TMRGs%20are%20voluntary&text=The%20purpose%20for%20this%20type,developing%20the%20sense%20of%20belonging.)

[Equity Compensation & Employee Stock Purchase Plan](https://handbook.gitlab.com/handbook/total-rewards/stock-options/)

[Growth and Development Fund](https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/)

[Parental leave](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave)

[Home office](https://handbook.gitlab.com/handbook/finance/expenses/#equipment) support

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](https://about.gitlab.com/company/culture/inclusion/#examples-of-select-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.

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