Lead Product Marketing Manager

About the role

Join GitLab as the Lead Product Marketing Manager for AI. In this role, you will shape the narrative for GitLab's AI capabilities, develop go-to-market strategies, and collaborate with various teams to drive adoption and revenue. You will have significant autonomy and work closely with Product Management, Engineering, Sales, Customer Success, and Marketing. Your work will help define how GitLab addresses customer challenges related to AI tooling and software delivery. Key missions: Lead the development and execution of go-to-market strategies for GitLab Duo Agent Platform and AI offerings, ensuring alignment with sales and marketing efforts.. Collaborate with cross-functional teams to refine the AI value proposition, strengthen messaging, and turn market insights into repeatable go-to-market motions.. Serve as the subject matter expert for AI and intelligent orchestration within Product Marketing, synthesizing market trends and customer feedback into differentiated narratives. Profile: - 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 - Openness to learning, with transferable skills from related areas such as MLOps, platform engineering, or developer experience, and a self-directed approach to staying current on AI industry trends, agentic AI developments, and enterprise AI adoption patterns - Data-driven approach, using data to measure results, inform decision-making, and develop strategy - Track record of successfully launching new products, usage-based pricing models, or consumption-based offerings, including defining monetization strategy, coordinating partner ecosystem activities, and measuring business impact through pipeline generation, usage metrics, and revenue growth - Strategic thinking about market opportunities in AI for software teams, competitive positioning against both AI coding tools and DevOps platforms, and business model innovation around usage-based pricing that demonstrates clear customer value - Familiarity with AI coding tools landscape and ability to position GitLab's team-level orchestration across the complete software lifecycle - Proven experience being self-directed and working with minimal supervision, able to coordinate across many teams and lead cross-functional initiatives - Experience working with large B2B enterprise customers navigating AI transformation, translating their challenges with fragmented trust, context, regulations, and budgets into clear positioning, differentiated messaging, and scalable go-to-market strategies - Ability to synthesize qualitative feedback, product usage data, win/loss analysis, and market research into clear, actionable messaging frameworks, pricing recommendations, consumption model optimization, and revenue plays that address both technical and business buyer needs - Proven experience positioning platform solutions with ability to articulate architectural advantages of unified platforms with complete context over fragmented toolchains with tool-specific AI agents - Experience across multiple domains within DevSecOps, enabling you to position AI capabilities across the complete software lifecycle from planning through deployment and operations - Strong written and verbal communication skills, with ability to explain complex AI concepts (agentic workflows, unified data models, intelligent orchestration, MCP integration) to both technical and non-technical audiences through presentations, content, and enablement materials - Strong understanding of key personas including platform engineering leaders, DevOps directors, AI/ML leaders, and developers, and how they evaluate, purchase, and adopt AI solutions across different organizational AI maturity levels (evaluating AI, using AI coding tools, AI-first organizations) - Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application