Sr. Product Marketing Manager

vCluster Labs is a venture-backed tech startup pioneering Kubernetes virtualization for the AI era. As a Senior Product Marketing Manager, you will be responsible for developing messaging and positioning for the product stack, executing go-to-market launches, and creating sales enablement materials.

Responsibilities:

• Messaging and positioning: Build clear, differentiated messaging for the vCluster product stack (vCluster, vMetal, vCluster Platform) in the cloud-native ecosystem, and align Product and Sales around one positioning framework. You will help tell the story of the operating system for AI factories
• Go-to-market launches: Own positioning, messaging, and launch execution end to end for new products and features, including products like vMetal that are early and still finding their sales motion
• Sales enablement that ships: Build the messaging, sales plays, and pitch decks the field actually uses, then coach sellers on how to run them. This is not a training-program role; you create the assets and the plays
• Content that proves the story: Produce and spec high-quality content across formats: blogs, guides, web copy, video, and social-ready assets, in partnership with design and brand
• Partner and ecosystem marketing: Work with AI Clouds and ecosystem partners (think NVIDIA-adjacent motions) to turn partnerships into pipeline-driving marketing
• Field insight loop: Get close to platform engineers, infrastructure owners, and the SE/TAM team to understand objections, friction, and competitive dynamics, and turn that into materials that move deals forward

Requirements:

• Messaging and positioning depth: You have built or refreshed a messaging framework for a technical product and can show the before and after
• GTM launch ownership: You have run launches yourself: the positioning, the bill of materials, the enablement, and the follow-through
• Sales enablement built by hand: You have created sales plays, pitch decks, and objection handling that sellers adopted, not just delivered training
• Cloud-native or infrastructure fluency: You have marketed products in the cloud infrastructure ecosystem (Kubernetes, monitoring, storage, networking, or a cloud provider). Deep Kubernetes expertise is a plus, not a requirement, but you must understand how the cloud-native stack fits together
• Build-phase experience: You have joined a company while the function was still being built and can describe what you stood up first and why
• A portfolio: High-quality samples of written work (long and short form), and ideally architecture diagrams, technical snippets, or video you drove. We ask for these in the application
• AI infrastructure exposure: Experience marketing to or for AI Clouds or AI infrastructure companies
• Partner marketing: Running co-marketing with major ecosystem partners
• Customer-facing depth: Time spent in front of platform engineering or infrastructure buyers (SE-adjacent, TAM-adjacent, or heavy field exposure)