GitLab

Technology

SeniorProductManager,AIPlatform

£105–155k ~AI est. United Kingdom Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Product Manager, AI Platform at GitLab. Skills: AI Platform Management, Product Strategy, Governance. Lead product discovery for AI Control Plane capabilities. Lead product delivery for AI Control Plane capabilities”

Industry & Context.

Technology
Problems you'll solve

Translate ambiguous problems

What They're Looking For.

Must Have

Experience building product for AI platforms, Ability to work through ambiguous technical spaces, Skill in cross-functional collaboration, Judgment to bring structured alternatives, Ownership mindset, Comfort operating in a large, matrixed organization, Communication skills for distributed, asynchronous environment, Transferable product experience from adjacent platform or infrastructure domains

Nice to Have

AI configuration experience, AI governance experience, Other platform capabilities experience, Experience where AI, governance, or administrative control are central

What You'll Do.

Lead product discovery for AI Control Plane capabilities

Lead product delivery for AI Control Plane capabilities

Define product direction for configuration experiences

Define product direction for governance experiences

Collaborate closely with engineering teams

Collaborate closely with design teams

Collaborate closely with partner teams

Drive alignment across stakeholders

Present trade-offs to leaders

Present alternatives to leaders

Present product recommendations to leaders

Own prioritization decisions

Deliver platform capabilities

Navigate cross-functional challenges

Communicate strategy clearly

Communicate decisions clearly

Communicate progress clearly

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Design teams; Partner teams; AI Governance teams; Adjacent product groups; Distributed environment; Asynchronous collaboration

Communication Scope

Written collaboration; Verbal collaboration

Process & Methodology

Roadmap, Prioritization

Full 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 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 a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities across the platform, with a focus on the AI Control Plane that governs how agents, Model Context Protocol servers, tools, and skills are used, and when human approval is required. You will have broad scope across product strategy, execution, and stakeholder alignment for AI Platform Management. In your first year, you will shape the direction of governance, orchestration, and audit capabilities, help teams make practical decisions in an ambiguous space, and build trust with engineering, design, and partner teams

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