Teams at ZoomInfo

Build and operate production infrastructure for entity-focused AI agents. Responsibilities include scheduled benchmarking and golden gates, scalable entity-agent pipelines, evidence adapters, replayable vendor stores, agent-platform deployment, review and batch tooling, rollback mechanisms, and comprehensive cost, quality, latency, and health instrumentation. The role partners with AI engineering, product, research, data, and platform teams to move prototypes into reliable, self-service production systems.

Architects and standardizes cloud infrastructure for data platforms on GCP, including Kubernetes, networking, Terraform, GitOps, CI/CD, observability, performance, cost, security, and disaster recovery. Evaluates emerging data technologies, runs prototypes, guides managed-service connectivity, supports governance and consolidation, and enables engineering teams through architecture reviews, workshops, reference implementations, and documented standards.

Own the lifecycle, quality, delivery, pricing, packaging, and commercialization of vertical data products. Partner with customers, sales, analysts, engineering, legal, pricing, and marketing to build data-driven workflows, prioritize investments, execute strategic deals, and increase revenue. Serve as the subject matter expert for specialized datasets, ensuring strong coverage, accuracy, entity resolution, platform integration, and customer adoption.