- Own Cloudflare's GTM strategy for AI inference for competitive positioning beyond the commoditized GPU/hour model. - Develop and continuously refine our positioning around Cloudflare's structural advantages: serverless GPU pricing, edge-distributed infrastructure, and integration with the broader developer platform (Workers, R2, D1, Agents SDK). - Identify and size the customer and partner segments where Cloudflare's inference model creates disproportionate value -- and have the discipline to deprioritize segments where it doesn't. - Own and drive promotional strategies with key model partners to accelerate the adoption of new models and inference capacity. - Partner directly with Workers AI prospects and high-value accounts evaluating Cloudflare for GPU capacity and inference workloads. - Lead strategic sales conversations that go beyond feature comparison -- helping prospects understand the architectural and economic advantages of our approach. - Collaborate with Sales and Developer GTM leadership to build repeatable qualification frameworks and deal structures for inference revenue. - Serve as Cloudflare's primary listener and synthesizer for inference market signals: pricing shifts, competitive moves, model ecosystem changes, and emerging workload patterns. - Broker internal conversations across Product, Strategy, Engineering, and GTM leadership to translate market intelligence into product and commercial decisions. - Partner with the AI Gateway / Models Marketplace team to align strategy across both the hosting and consumption sides of the model ecosystem -- ensuring our GTM motion is coherent whether a customer is running models on our infrastructure or consuming them through our marketplace. - Build the analytical foundations for the inference business: unit economics models, customer segmentation frameworks, win/loss analysis, and pipeline forecasting. - Define and track the metrics that matter for an inference business at our stage -- going beyond vanity metrics to signal real product-market fit and revenue quality. - Use data to challenge assumptions, including your own, and to make the case for strategic pivots when the market warrants them