AI Transformation Owner, Marketing

The role

This role owns AI strategy and implementation for GitLab's marketing organization, partnering with an Enterprise AI engineer to identify where artificial intelligence can fundamentally reshape how the function operates. You act as both strategist and hands-on builder, managing the full lifecycle from process mapping through prototype development to scaled adoption, while building a peer champion network to extend impact across the team.

What you'd do

• Define and execute function-wide AI strategy aligned with executive priorities and measurable business outcomes
• Map end-to-end workflows to identify high-impact opportunities where AI can drive orders-of-magnitude improvements
• Manage intake of AI requests and ideas from across the function via a champion network
• Prioritize AI initiatives strategically against business outcomes rather than chasing every request
• Build no-code and low-code AI agents using platforms like Glean and Workato without waiting for engineering resources
• Author, configure, and iterate on agent skills and MCP server integrations to enable agent capabilities
• Own performance of deployed agents by tracking KPIs, running evaluations, and iterating based on usage patterns
• Drive adoption and change management by creating visibility, rituals, and feedback loops across the function
• Recruit, coordinate, and support 5-10% of function staff as Champions to extend reach and sustain peer-led initiatives
• Partner with Enterprise AI team to ensure consistent patterns, tooling, and learnings across the organization
• Challenge the function to reimagine workflows rather than simply automating existing processes

What they're looking for

• Deep operational knowledge of marketing function and how work flows across teams and upstream/downstream dependencies
• Demonstrated strategic prioritization skills and ability to make difficult trade-off decisions
• Product management mindset with comfort defining success metrics and holding accountability
• Strong communication and influence skills to navigate competing demands and build credibility
• Cross-functional instincts and ability to optimize for organizational outcomes beyond single team
• Experience building and sustaining peer networks, communities of practice, or champion programs
• Comfort building with AI tools and configuring agents at a power-user level without writing production code
• Willingness to quickly learn no-code/low-code AI platforms, prompt engineering, and agent configuration
• Strong conceptual understanding of AI capabilities including summarization, classification, generation, and agentic workflows
• Ability to map data flows and understand where agents need context and human interfaces

Nice to have

• Prior experience with specific no-code AI platforms like Glean or Workato
• Background in process optimization or business transformation initiatives
• Familiarity with MCP server configuration and data integration patterns