Lead Product Marketing Manager, AI

As the Lead Product Marketing Manager, AI at GitLab, you'll shape how we bring our AI story to market across the software development lifecycle. You'll lead the narrative for GitLab Duo Agent Platform and related AI capabilities, helping customers understand how GitLab supports software teams and their AI agents in one platform.

This role sits at the intersection of product, market insight, and revenue strategy, with a strong focus on positioning, messaging, launches, and monetization for AI offerings. You'll work with significant autonomy while partnering closely with Product Management, Engineering, Sales, Customer Success, and Marketing.

In your first year, you'll help refine our AI value proposition, strengthen how we speak to platform engineering and technology leaders, and turn market insight into repeatable go-to-market motions that support adoption and growth. You’ll also establish yourself as an emerging external voice on how AI agents are reshaping software teams , informed by your own hands-on use of agents workflows.

Some examples of our projects:

• Developing and launching go-to-market strategies for GitLab Duo Agent Platform and AI offerings.
• Using AI agents to accelerate competitive analysis, synthesize customer feedback patterns, and generate first-draft positioning hypotheses , then sharing those methods as part of GitLab's thought leadership.
• Creating persona-based messaging for organizations moving from individual AI coding tools to team and agent collaboration across the software lifecycle.
• Building thought leadership around intelligent orchestration, unified workflows, and how teams stay in flow with AI agents.
• Supporting launches for new AI capabilities, agentic workflows, and related monetization approaches.

What you'll do

• Collaborate on an end-to-end GTM strategy and execution for GitLab Duo Agent Platform and AI capabilities, emphasizing how intelligent orchestration enables software teams and their AI agents to stay in flow across the complete software lifecycle,addressing the "AI Paradox" where faster coding doesn't translate to faster delivery when the rest of the lifecycle remains fragmented.
• Lead positioning and narrative for GitLab's AI capabilities, articulating how we bring software teams and their AI agents together, eliminate gaps between traditionally-manual software lifecycle stages, and unify DevOps, Security, and AI workflows into a single orchestrated system where teams orchestrate from above while agents execute within.
• Develop and execute go-to-market strategies for usage-based AI monetization and consumption-based offerings that demonstrate clear customer value.
• Partner with Product Management, Sales, Customer Success, and Engineering to understand how customers are navigating AI modernization journeys, validate market problems around toolchain fragmentation and tool-specific AI agents, and translate them into clear messaging, revenue plays, pricing strategies, and launch priorities.
• Build and continuously refine compelling positioning and messaging for AI capabilities, including persona-specific content for platform engineering leaders, DevOps directors, technology executives, and developer teams.
• Define and execute comprehensive go-to-market plans for new AI capabilities, agents, workflows, and usage-based offerings, ensuring launches are timely, impactful, and tightly aligned with sales, field marketing, partner ecosystem, and digital marketing motions while delivering measurable pipeline and revenue impact.
• Serve as the subject matter expert for AI and intelligent orchestration within Product Marketing, synthesizing analyst feedback, market trends, competitive insights, and customer proof points into differentiated narratives that position GitLab's architectural advantages over AI coding tools and fragmented toolchain approaches.
• Create and maintain high-impact sales enablement materials such as pitches, playbooks, FAQs, objection-handling guides, use case libraries, and pricing and packaging comparison guides that help scale AI-focused sales motions and accelerate deal velocity.
• Build distinctive external thought leadership grounded in your own practice of using AI agents , sharing original insights from hands-on experimentation.
• Partner with Product Marketing Managers on AI positioning, usage-based monetization, and go-to-market strategies within your area of expertise.
• Lead complex, cross-functional initiatives involving sales, product, growth, and marketing teams to drive AI adoption and revenue.

What you'll bring

• Strong product marketing experience owning complex, technical B2B SaaS products from discovery through launch, with proven success in usage-based monetization, consumption pricing models, and go-to-market strategies that drive measurable revenue impact in AI or developer tools markets.
• Deep understanding of AI/ML technologies, agentic workflows, LLM orchestration, and the software development lifecycle, with practical exposure to capabilities such as AI coding assistants, agentic automation, multi-agent systems, Model Context Protocol (MCP), and intelligent orchestration concepts.
• Demonstrated AI-first working style: you already use AI agents as core to how you develop positioning, conduct research, analyze competitors, and create content.
• Experience across multiple domains within DevSecOps, enabling you to position AI capabilities across the complete software lifecycle from planning through deployment and operations.
• Proven experience positioning platform solutions with ability to articulate architectural advantages of unified platforms with complete