Design and operate large-scale data and ML platforms supporting audience data, feature stores, training pipelines, model serving, monitoring, and LLM-powered workflows. Own end-to-end data pipelines, reliability, SLAs, observability, and business impact. Apply distributed systems principles, production ML practices, and agentic technologies while collaborating across product and engineering teams in a fully remote environment.

Lead and scale Hive’s Customer Success team, coaching CSMs to drive retention, renewals, expansion, product adoption, and customer outcomes. Build scalable playbooks, capacity plans, and operational processes; use data, AI, and automation to improve efficiency. Represent the customer voice internally, manage escalations, collaborate cross-functionally, and develop executive customer relationships while representing Hive at industry events.