Senior Product Marketing Manager (AI Training Infrastructure)

Join CoreWeave as a Senior Product Marketing Manager for AI Training Infrastructure. In this role, you will own the narrative for CoreWeave's AI Training Infrastructure, shape how the company competes in training-focused sales situations, and define how the training stack goes to market. You will work closely with technical and applied ML teams, as well as sales and solutions architects, to drive adoption and retention of CoreWeave's training stack.

• Own the AI Training Infrastructure narrative for CoreWeave, building the strategic positioning framework that ties CoreWeave Kubernetes Service, SUNK, and SUNK Anywhere into a coherent market story.
• Shape how CoreWeave competes in training-focused sales situations, owning the competitive positioning framework field teams use against alternative infrastructure approaches.
• Define how CoreWeave's training stack goes to market, owning the enablement framework for Sales and Solutions Architects, and setting the competitive positioning strategy the field uses in training-focused deals.

• 5+ years in product marketing, technical marketing, or GTM, in cloud infrastructure, AI/ML, or developer tooling
• Direct experience with or proximity to AI researchers: how they think, what they evaluate, what earns trust versus eye-rolls
• Demonstrated ability to build positioning and messaging for complex technical products that moved something, adoption, market perception, or competitive win rate. Not just produced, shipped
• Working fluency with Kubernetes. You do not need to have operated clusters, but you need to understand how teams use them and why the infrastructure decisions around them matter
• Sound judgment inside ambiguity. You have worked in a fast-moving org where role definitions shifted and used that as information, not a blocker
• Familiarity with the AI model development lifecycle from pre-training through fine-tuning, RL, and optimization. You know what this stage of the workflow costs teams when it breaks down
• Experience marketing platform or infrastructure products where the buyer is a platform engineer, research lead, or technical architect
• Familiarity with schedulers, clusters, or distributed training workloads, Slurm, Kubernetes-native training, or both
• Track record across multiple products or a portfolio simultaneously, not a single-product PMM motion
• Background in developer tools, HPC, or AI infrastructure. You have marketed highly technical products to audiences who evaluate claims on technical merit, not positioning