Redmond, Washington, United States
I specialize in AI monetization strategy, pricing GenAI agents, modeling token-level unit economics, and building the financial frameworks that turn AI products into scalable businesses. At Microsoft, I owned end-to-end monetization for M365 Copilot agents and drove pricing and GTM strategy for M365 Platform APIs, working across consumption-based and subscription-based pricing models, enterprise segmentation, and cross-functional alignment with GTM, PMM, Finance, and Engineering. My background spans AI agent monetization, platform monetization, GenAI product strategy, and unit economics, the disciplines that determine whether an AI product actually scales into a business. Previously I built billion-dollar P&Ls for Azure data centers and structured infrastructure investments across Latin America. I thrive at the intersection of AI product strategy and financial design, where pricing decisions shape what scales, where investment flows, and who wins.
Drive portfolio strategy initiatives to grow the Surface business unit
Owned end-to-end monetization strategy for M365 Copilot agents, including token-level unit economics, inference cost modeling, and consumption-based pricing design across enterprise segment.
Responsible for driving strategy and pricing for Microsoft 365 Platform
Managed clients’ divestitures in international markets, servicing verticals such as automotive, business process outsourcing (BPO), and aircraft manufacturing.
Overseeing investment strategies, managing deals, sourcing new opportunities, and fostering investor relations across Latin America & the US, focused on Telecom Infrastructure.