
Engineering Manager - MLOps & Analytics
Manage a distributed MLOps/Analytics engineering team, lead processes, review code, provide architectural leadership, mentor reports, and collaborate on engineering roadmaps. Role expects strong Python and MLOps experience (Kubeflow, MLflow, Feast), familiarity with container technologies and public cloud platforms. Globally remote with travel ~2–4 weeks/year.