AI Transformation Owner Marketing
GitLab is an AI-powered DevSecOps platform that unifies the entire software development lifecycle into a single application. It helps development, security, and operations teams to collaborate and deliver software more efficiently, with security integrated at every step. The platform is trusted by millions of users and a majority of the Fortune 100.
About GitLab Inc.
GitLab is a comprehensive, AI-powered DevSecOps platform that streamlines the entire software delivery process by unifying the development lifecycle into a single application. It integrates source code management, CI/CD, security, and monitoring to help teams build, secure, and operate software more efficiently. Key features include automated security scans built into the development pipeline and AI-driven tools like GitLab Duo for code suggestions and chat, which enhance developer productivity. GitLab serves a diverse client base, from startups and open-source projects to large enterprises, including over half of the Fortune 100. The platform aims to reduce complexity, accelerate delivery cycles, and strengthen security and compliance for its users.
Skills
About the Role
You will shape the AI strategy for the marketing function and turn high-impact opportunities into adopted solutions. You will map workflows, prioritise requests against business outcomes, define success metrics, and track results. You will build no-code and low-code AI agents, configure skills and MCP tools, manage agent performance, and iterate or replace solutions as tools evolve. You will coordinate a Champion network, run adoption activities, and partner with an AI Engineer on scalable and secure technical delivery.
Requirements
- Deep knowledge of function operations and end-to-end processes.
- Strategic prioritisation skills and ability to manage competing demands.
- Product management mindset, including intake, backlog, iteration, adoption, and success metrics.
- Strong communication and influence skills.
- Cross-functional process understanding.
- Experience building peer networks or communities of practice.
- Ability to build working AI agents, configure skills, connect MCP servers, and troubleshoot.
- Experience with or willingness to learn no-code and low-code AI platforms, prompt engineering, and agent configuration.
- Conceptual understanding of AI capabilities including summarisation, classification, generation, automation, and agentic workflows.
- Ability to map structured and unstructured data flows.
Responsibilities
- Own the function's AI strategy and align it with executive and business priorities.
- Map end-to-end workflows, identify constraints, and find high-impact AI opportunities.
- Manage AI requests, ideas, and pain points from across the function.
- Prioritise AI work against business outcomes and executive guidance.
- Drive AI adoption and change management through feedback loops, office hours, onboarding, and rollout iteration.
- Build and coordinate a Champion network across sub-teams.
- Build AI agents with no-code and low-code platforms.
- Author and refine skills files for AI agents.
- Configure MCP servers and tools with the AI Engineer.
- Own the function's fleet of agents, track KPIs, run evaluations, and iterate on performance.
- Sunset and rebuild agent solutions when better approaches emerge.
Benefits
- Health, financial, and well-being benefits.
- Flexible Paid Time Off.
- Team Member Resource Groups.
- Equity compensation and Employee Stock Purchase Plan.
- Parental Leave.