Jobs at Stream

Own end-to-end customer onboarding and implementation for Stream’s AI Moderation product, including policy design, configuration, testing, integrations, and go-live. Continuously tune moderation systems by analyzing false positives and negatives, investigate escalations, train Trust & Safety teams, and create enablement materials. Partner with Sales, Solutions Engineering, Product, and Engineering to support pilots, improve customer outcomes, and inform the roadmap. The role requires technical customer engagement, project management, analytics, communication, and willingness to review harmful content.

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 high-scale backend systems for Stream’s Chat or Activity Feeds products. The role involves hands-on software development, database and infrastructure work, system architecture, technical leadership, scalability, public APIs and SDKs, and production reliability. Engineers will work with distributed systems, real-time workloads, Kubernetes, relational databases, caching, messaging, observability, and cloud infrastructure while delivering production code and owning systems end to end.

Own Stream’s marketing technology and lead-management systems end to end. Responsibilities include lead routing, SLA tracking, marketing automation, outreach operations, data quality, funnel dashboards, Salesforce governance, monitoring, workflow automation, and marketing data health checks. The role partners with Marketing, SDRs, Sales, Customer Success, Data Engineering, and external vendors to maintain reliable revenue operations processes and trusted pipeline data.

Manages a team of SDRs and owns sales development performance, hiring, coaching, quota attainment, territory coverage, and pipeline quality. Builds and maintains onboarding curricula, certification programs, call-coaching frameworks, messaging, qualification criteria, and sales playbooks. Uses Salesforce and Gong to analyze performance, improve conversion and ramp time, and partner with Account Executives, Marketing, Sales Engineering, Talent Acquisition, and Revenue Operations.

Staff Software Engineer responsible for designing and building Stream’s high-scale platform and infrastructure. The role includes setting SLOs, leading distributed-systems decisions, developing deployment and debugging tools, improving incident response, optimizing infrastructure costs, and guiding technical direction through design reviews and RFCs. The engineer will work with Go, Python, cloud platforms, Kubernetes, databases, observability systems, and real-time workloads in a small, autonomous team.

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.