This role will own critical product surfaces and workflows that help machine learning engineers, data scientists, and autonomy teams prepare training data, configure experiments, monitor progress, evaluate outcomes, and improve iteration speed. You should be comfortable partnering closely with engineering, infrastructure, data, finance, and autonomy stakeholders; making principled tradeoffs across velocity, cost, reliability, and model quality; and influencing without direct authority in a highly technical environment.