Teams at Stream

Generate qualified pipeline for Stream's AI Moderation product through targeted outbound prospecting (phone, email, LinkedIn), conduct discovery, book meetings with ICP prospects, collaborate with AEs, maintain Salesforce CRM accuracy, hit activity and pipeline goals, and iterate on outbound messaging and experiments.

Own and evolve Stream’s end-to-end revenue operations data platform. Build Python and dltHub ingestion pipelines, SQLMesh transformation models, dimensional data models, quality and observability systems, and GCP infrastructure centered on BigQuery. Integrate GTM systems, enable trusted analytics and reverse ETL, improve reliability and cost efficiency, and establish engineering standards. The role requires hands-on platform ownership in a fast-moving hybrid Boulder startup environment.

Own infrastructure for high-scale real-time systems, including Kubernetes architecture, AWS-to-GCP migration, PostgreSQL scaling, cloud cost optimization, production tooling in Go and Python, capacity planning, reliability improvements, and incident response. Collaborate across engineering teams on system design and independently lead infrastructure initiatives in a small, senior environment.