Responsibilities

• 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 emerging external thought leadership in AI for software teams through speaking engagements, content programs, analyst briefings, and other opportunities that highlight our position as the intelligent orchestration platform where teams stay in flow with their AI agents.
• 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.