AI Transformation Owner, Marketing

Details

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.

An overview of this role

As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are 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.

This is a product management-style role where the product is your org's way of working. You will manage the full lifecycle: understand current workflows, decide where AI should reshape them, prioritise what gets built and in what order, and ensure what ships actually gets adopted. You will prototype solutions, configure agents, and prove what's possible before bringing in engineering support to scale.

You will work closely with an AI Engineer in the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritisation; the AI Engineer brings technical depth, production-grade delivery, and architecture decisions. You will build solutions at the no-code and low-code layer and partner with the AI Engineer on tooling and architecture.

Responsibilities

Strategy & Prioritisation

• Own your function's AI strategy, aligned with your Executive Sponsor and business priorities. Define metrics, identify what will move the needle, and track progress over time.
• Map end-to-end workflows across your function, including upstream and downstream handoffs, and identify the most impactful opportunities for AI (the "100x problems").
• Manage intake of AI requests, ideas, and pain points from across the function, including via a Champion network.
• Prioritise strategically against business outcomes and executive guidance, ensuring the AI Engineer focuses on highest-impact work.

Adoption & Change Management

• Reimagine workflows, not just automate existing processes. Spot opportunities to fundamentally rethink how work gets done.
• Drive adoption and change management in partnership with the AI Engineer: create channels, rituals, feedback loops, onboarding, office hours, demos, and celebration of wins.
• Coordinate with Enterprise AI to leverage shared patterns, tools, and learnings across the business.
• Build and coordinate a Champion network across sub-teams (5-10% time contributions), run regular Champion syncs, and act as the bridge to Enterprise AI.

Hands-On Building & Agent Operations

• Build AI agents using no-code and low-code platforms (examples: Glean, Workato, similar tools). Prototype from idea to working solution without waiting for engineering.
• Author and iterate on skills files that define agent behavior; refine instructions from real usage and share reusable skills.
• Configure MCP servers and tools to give agents access to necessary business systems, partnering with the AI Engineer on secure connections.
• Own your function's fleet of agents: track KPIs, run evaluations after model or data changes, iterate, and be accountable for agent performance.
• Expect to rebuild as tools and models evolve; be comfortable sunsetting work when better approaches emerge.

Requirements

Business & Strategic

• Deep knowledge of your function's operations and ability to trace processes end-to-end.
• Strong strategic prioritisation skills and a product management mindset (intake, backlog, iteration, adoption, success metrics).
• Strong communication and influence to manage stakeholder expectations and drive change.
• Cross-functional instincts and experience building peer networks or communities of practice (champion programmes, guild leadership, or community organising).

Hands-On & Technical

• Comfortable building with AI tools at the no-code/low-code layer (power user, not a software engineer).
• Willingness and ability to learn quickly: no-code/low-code AI platforms, prompt engineering, and agent configuration; training on GitLab tooling provided.
• Strong conceptual understanding of AI capabilities (summarisation, classification, generation, automation, agentic workflows) and commitment to staying current.
• Ability to map data flows (structured and unstructured) and determine where agents need context and 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 technical delivery capability, platforms, and patterns; you provide business context, prioritisation, no-code building, and adoption support.

Salary

The base salary range for this role’s listed level is currently for residents of the United States only.

United States Salary Range

$152,800 - $259,200 USD

(The base salary range does not include bonuses, equity, or benefits. Grade level and salary ranges are determined through interviews and a review of education, experience, skills, and geographic location.)

How GitLab Supports Full-Time Employees

• 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

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All roles are remote, though some roles may carry specific location-based eligibility requirements. The Talent Acquisition team can answer location questions during recruiting.

GitLab is an equal opportunity workplace and provides accommodations during recruiting upon request.