Senior Engineering Manager, ML Platform

We’re looking for hands-on builders–intellectually curious, deeply technical leaders eager to shape the future of AI and ML at Whatnot. You’ll lead the development and scaling of the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models powered by near-realtime features into production and unlock entirely new product experiences. This means building systems that make advanced ML dependable and fast at scale–from low-latency deep learning model serving and streaming feature ingestion to distributed training and high-throughput GPU inference. This is a management role that requires strong technical depth–potential candidates should be excited about getting and staying in the weeds. You will be expected to up-level architectural discussion, provide technical feedback, and code at least a day a week.