Teams at Digital Turbine

Design and deploy large-scale machine learning systems for ad ranking, conversion prediction, bid optimization, and recommendations. Build production pipelines for feature engineering, distributed training, model deployment, retraining, and monitoring across billions of events. Optimize distributed inference for latency and cost, collaborate with data and product teams, run online experiments, and apply modern ML research to advertising and audience modeling.

Owns weekly revenue and gross profit forecasting, annual operating plan development, rolling 12-month planning, and complex financial modeling for the on-device business. Partners with commercial, operations, BI, and executive teams to build business cases, validate dashboards, deliver executive reporting, analyze actuals, and translate complex financial data into strategic insights.

Primary contact for Japanese app publishers to manage and grow monetization through account management, revenue optimization, troubleshooting with product/support, educating on Waterfall/Bidding/Hybrid setups, tracking performance metrics, identifying upsell opportunities, and relaying market feedback to global teams.