1 month ago

Principal Product Manager, AI Control Plane and Guardrails

GitLab

Hybrid
Full Time
$220,000
Hybrid
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Job Overview

Job TitlePrincipal Product Manager, AI Control Plane and Guardrails
Job TypeFull Time
Offered Salary$220,000
LocationHybrid

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Job Description

Principal Product Manager, AI Control Plane and Guardrails at GitLab

GitLab is the intelligent orchestration platform for DevSecOps, empowering organizations to boost developer productivity, enhance operational efficiency, mitigate security and compliance risks, and accelerate digital transformation. Trusted by over 50 million registered users and more than 50% of the Fortune 100*, GitLab enables teams to ship better, more secure software faster.

Our product principles are mirrored in our team's work culture: we wholeheartedly embrace AI as a core productivity multiplier. Every team member is expected to integrate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is a place where careers flourish, innovation thrives, and every voice is respected. Our high-performance culture is fueled by strong values and continuous knowledge exchange, helping team members achieve their full potential while collaborating with industry leaders to solve complex challenges. Join us in co-creating the future 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 will take end-to-end ownership of GitLab's AI control plane. This encompasses the capabilities that provide organizations with visibility, control, and confidence as they integrate AI across the entire DevSecOps lifecycle. Your responsibilities will span governance and policy management, admin and access controls, subscription and entitlement management, usage analytics and reporting, audit and compliance, and the platform experiences crucial for making AI trustworthy and manageable at an enterprise scale. You will report to the Vice President of Product for AI and collaborate closely with engineering, design, security, and various cross-functional stakeholders to define outcomes, manage tradeoffs, and deliver iterative solutions for large organizations.

In your first year, a primary focus will be establishing a clear product strategy for AI Guardrails and Governance. This involves translating customer demand into a prioritized roadmap and delivering foundational capabilities that enable teams to securely, compliantly, and scalably utilize AI throughout GitLab.

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.

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.

How GitLab Will Support You

  • 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
  • Home office 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 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.

Key skills/competency

  • AI Governance
  • Product Strategy
  • Control Plane
  • Policy Management
  • Access Controls
  • B2B SaaS
  • DevSecOps
  • Enterprise Adoption
  • Regulatory Compliance
  • Roadmap Execution

Tags:

Principal Product Manager
Product Management
AI Governance
Control Plane
Product Strategy
Policy Management
Access Controls
DevSecOps
B2B SaaS
Enterprise Adoption
Regulatory Compliance
Roadmap Execution
Usage Analytics
Audit & Compliance
Data Governance
Security Frameworks
Platform Capabilities
Machine Learning
Cloud Infrastructure
API Design

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How to Get Hired at GitLab

  • Research GitLab's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, especially their commitment to AI integration and remote work.
  • Tailor your resume: Highlight extensive product management experience in B2B SaaS, specifically emphasizing ownership of complex, technical products related to governance, admin, or control-plane functionalities.
  • Showcase AI control expertise: Emphasize your proven experience in policy management, access controls, configuration frameworks, and multi-tenant administration within AI, data, or platform contexts.
  • Prepare for technical deep dives: Be ready to discuss the AI product lifecycle, enterprise adoption patterns, and your working knowledge of AI security, compliance, and regulatory concepts like the EU AI Act or NIST AI RMF.
  • Articulate strategic thinking: Demonstrate your ability to translate customer and field feedback into clear problem statements, prioritized roadmaps, and measurable outcomes for broad enterprise adoption.

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