Teams at Rowspace

Design, build, and secure scalable infrastructure and data ingestion pipelines for an enterprise AI platform handling sensitive financial data. Implement private-cloud, tenant-isolated deployments, access controls, monitoring/alerting, CI/CD, and infrastructure-as-code. Partner with AI research/product teams to optimize for LLM training and inference workloads.

Own post-sale customer relationships for Rowspace clients: onboarding, adoption, expansion, and retention. Learn customers' finance workflows, act as the voice of customer to product and engineering, identify expansion opportunities, support deal transitions, and build customer engagement playbooks.

Build full-stack features and ingestion pipelines to turn investor documents into a searchable knowledge engine, design UIs, build APIs/integrations (ChatGPT, Claude, Excel), productionize LLM systems, ensure security and reliability for sensitive investment data, and iterate rapidly with direct customer feedback.