Own COGs and R&D attribution programs. Stand up cost attribution across inference, compute, and infrastructure workloads. Partner with Finance and Data to connect spend to products, features, and business metrics. Make cost data actionable for engineering and executive decision-making
Drive GPU and infrastructure resource allocation. Build frameworks for capacity planning and allocation across 1P models, 3P inference, and experimentation. Run recurring reviews with ML and Infra leadership. Translate business priorities into concrete allocation plans
Manage technical programs with infrastructure teams. Scope and drive programs in cost optimization, capacity planning, reliability, and migration. Own the operating rhythm for each program alongside a designated sponsor: track progress, escalate blockers, ensure outcomes
Partner strategically with engineering leaders. Serve as a thought partner on resource tradeoffs, investment prioritization, and operational improvements across ML, Infrastructure, and Finance. Synthesize complex technical and financial information into clear recommendations
Roll up your sleeves. Dig into dashboards, data, and systems. Write the doc, build the model, run the analysis, and get stuff done
Stand up COGs attribution: mapping inference and infrastructure spend to products and workloads, with dashboards used by engineering and finance
Build a GPU allocation review that runs bi-weekly with ML and Infra leadership, producing clear decisions tied to business priorities
Drive an R&D spend efficiency program identifying the highest-leverage cost reductions across engineering
Scope a capacity forecasting model connecting product growth to infrastructure investment needs for planning