• Design, build, and operate backend services and large-scale data pipelines that power Native Ads forecasting, supply allocation, and campaign delivery optimization. • Develop and maintain the data infrastructure behind ML forecasting models that predict campaign reach, clicks, conversions, and supply availability across segments, surfaces, and markets. • Build systems that enable forecasting at scale; supporting bulk buying workflows, multi-subcampaign budget allocation, and high-throughput forecast serving for internal and external customers. • Contribute to supply optimization systems including campaign pacing, business-aware supply allocation, and auction infrastructure to maximize delivered revenue and yield. • Collaborate with data scientists and ML engineers to productionize prediction models, build feature pipelines, and ensure model outputs are reliable and observable in production. • Help drive improvements to data quality, pipeline reliability, and system observability across the forecasting and delivery stack. • Work in a cross-functional, agile squad alongside product managers, data scientists, and other engineers to continuously experiment, iterate, and deliver on squad objectives.