June 2026 archive · For research and skill exploration. Current job availability is unverified.
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GitLab

Lead Product Marketing Manager, AI

Lead AI product marketing strategy and narratives for GitLab's agentic platform and intelligent orchestration capabilities.

GitLabText summary from the June 2026 archive. original source →

The role

This lead product marketing role focuses on shaping market positioning and go-to-market strategy for GitLab's AI and agent-based offerings. The position sits within the Core Platform Product Marketing team, bridging product, sales, and customer insights to drive adoption and revenue for usage-based AI monetization models.

What you'd do

  • Develop and execute comprehensive go-to-market strategies for GitLab Duo Agent Platform and related AI capabilities
  • Lead positioning and narrative development emphasizing how intelligent orchestration enables software teams and AI agents to collaborate
  • Create and refine messaging frameworks addressing the AI Paradox and toolchain fragmentation challenges
  • Design and launch go-to-market plans for new AI capabilities, agents, workflows, and consumption-based offerings
  • Build sales enablement materials including pitches, playbooks, objection guides, and pricing comparisons
  • Develop persona-specific content for platform engineering leaders, DevOps directors, and technology executives
  • Establish thought leadership through hands-on experimentation and practitioner-based external communication
  • Partner cross-functionally with Product, Engineering, Sales, and Customer Success to validate market problems and translate them into messaging
  • Serve as subject matter expert synthesizing analyst feedback, competitive insights, and customer proof points into differentiated narratives
  • Lead complex cross-functional initiatives to drive AI adoption and revenue growth

What they're looking for

  • Strong product marketing background with B2B SaaS experience in complex, technical products through full lifecycle
  • Proven success with usage-based monetization and consumption pricing models driving measurable revenue impact
  • Deep understanding of AI/ML technologies, agentic workflows, LLM orchestration, and software development lifecycle
  • Demonstrated AI-first working style with practical use of AI agents in positioning, research, competitive analysis, and content creation
  • Experience positioning platform solutions and articulating architectural advantages over fragmented toolchains
  • Strong understanding of key personas including platform engineering leaders, DevOps directors, and AI/ML leaders
  • Track record launching new products, usage-based pricing models, or consumption-based offerings with measured business impact
  • Ability to synthesize qualitative feedback, product data, win/loss analysis, and market research into actionable messaging and strategy
  • Strong written and verbal communication skills explaining complex AI concepts to technical and non-technical audiences
  • Experience working with large B2B enterprise customers navigating AI transformation
  • Self-directed with ability to coordinate across multiple teams and lead cross-functional initiatives
  • Data-driven approach to measuring results and informing strategy
  • Familiarity with AI coding tools landscape and team-level orchestration positioning

Nice to have

  • Background in MLOps, platform engineering, or developer experience
  • Transferable skills from related technical domains
  • Self-directed commitment to staying current on AI industry trends and enterprise AI adoption patterns

Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.