Teams at Liftoff

Own complex financial files tracking customer incentives and revenue adjustments, build strategic financial models, design deal incentives, and forecast adjusted revenue. Partner with Sales, Accounting, Analytics, and FP&A to support close processes, strategic decisions, KPI reporting, and Board presentations. Analyze deal effectiveness, improve tracking processes, reconcile data, and communicate financial insights to stakeholders.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.