AI Transformation Owner, Marketing - GitLab

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.

Role Overview

As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them.

Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritising what gets built and in what order, and ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it.

You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritisation. They bring the technical depth, production-grade delivery, and architecture decisions. You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on the right approach, tooling, and structure.

What You'll Do

Strategy & Prioritisation

• Own your function's AI strategy: Aligned with your Executive Sponsor and business priorities. Understand which metrics matter to the org, identify what will move the needle, define how you'll measure impact, and track progress over time.
• Map how work flows: Across your function end-to-end, including the handoffs upstream and downstream to other orgs. Focus on the 100x problems: where could leveraging AI in a workflow let your org execute it orders of magnitude faster, or at 100x more volume than before?
• Manage intake: Of AI requests, ideas, and pain points from across the function, including via your Champion network. Ensure every team member has a clear route to surface what they need.
• Prioritise strategically: Against business outcomes and executive guidance. Hold the line on priorities and ensure the AI Engineer's time is spent on the highest-impact work.

Adoption & Change Management

• Reimagine, not just automate: Challenge your org to think beyond injecting AI into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done.
• Drive adoption and change management: Together with the AI Engineer. Create the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've built, regular office hours, onboarding for new hires, and celebration of wins.
• Coordinate with Enterprise AI: Ensure your function benefits from patterns, tools, and learnings emerging across other parts of the business.
• Build and bridge the Champion network: Identify and recruit Champions across sub-teams (5-10% time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their bridge to Enterprise AI.

Hands-On Building & Agent Operations

• Build AI agents: Using no-code and low-code platforms (e.g. Glean, Workato, similar tools). Go from idea to working prototype without waiting for engineering.
• Author and iterate on skills files: Define how AI agents behave. Refine instructions based on real usage and share reusable skills across the function.
• Configure MCP servers and tools: Give agents access to the business systems they need. Partner with the AI Engineer on what to connect and how to do it securely.
• Own your function's fleet of agents: Track KPIs, run evaluations after model or data changes, and iterate based on what you learn.
• Expect to rebuild: AI tools and models evolve fast. Be comfortable sunsetting your own work when a better approach emerges.

What You'll Bring

Business & Strategic

• Deep knowledge of your function's operations: Understand how work moves through your org, where it gets stuck, and why.
• Strategic prioritisation skills: Ability to make hard calls about what matters most, thinking in terms of business outcomes.
• Product management mindset: Comfort with intake, backlog, iteration, adoption, and defining success metrics.
• Strong communication and influence: Credibility and interpersonal skills to manage expectations and push for bigger thinking.
• Cross-functional instincts: Default to understanding how your org's processes affect and are affected by surrounding teams.
• Experience building peer networks: Proven ability to recruit and sustain volunteer contributors or champion programs.

Hands-On & Technical

• Comfortable building with AI tools: Ability to build a working agent, configure a skill, connect an MCP server, and troubleshoot (power user level).
• Ready to learn fast: Experience with or willingness to quickly pick up no-code/low-code AI platforms, prompt engineering, and agent configuration.
• Strong conceptual understanding of AI capabilities: Summarisation, classification, generation, automation, agentic workflows, and a commitment to staying current.
• Ability to map data flows: Understand where agents need context, and figure out where humans should interface with automated workflows.

About the Team

You will partner closely with Enterprise AI within the Enterprise Technology & AI organisation, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context, prioritisation, building at the no-code layer, and adoption muscle.

Benefits & Perks

• Flexible Paid Time Off
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave
• Benefits to support your health, finances, and well-being