Slack operates a 1,000+ person organization running a broad tech stack (iOS, AWS, Kubernetes, Salesforce, Claude, Apache Airflow, Temporal) while actively scaling data infrastructure and real-time analytics capabilities. The hiring velocity is minimal despite 69 open roles, with senior and staff engineers dominating the candidate mix—a pattern typical of mature, stability-focused products. Active projects center on AI agents, real-time OLAP, data residency, and cost optimization, while pain points cluster around performance reliability, scaling data systems, and driving mobile AI adoption.
Notable leadership hires: Research Operations Lead
Slack is a workplace productivity platform designed to reduce operational friction through team messaging, knowledge sharing, and no-code automation. The product integrates deeply with Salesforce Customer 360, extending into sales, service, and marketing workflows. As a public company with 1,001–5,000 employees based in San Francisco, Slack operates globally, with hiring across the United States, Ireland, Mexico, the United Kingdom, and Canada. The engineering organization is heavily weighted toward senior and staff-level roles, reflecting maturity in product and infrastructure layers rather than rapid scaling.
Slack's top 30 tools include iOS, AWS, Linux, Salesforce, Swift, Python, Go, Kubernetes, Temporal, Apache Airflow, Apache Pinot, Trino, MuleSoft, Tableau, and Claude. The stack spans mobile (iOS, Swift, Xcode), infrastructure (AWS, Kubernetes, Terraform, Chef), data (Airflow, Pinot, Trino, Vitess), and AI (Claude).
Current projects include AI agents for workflow automation, real-time OLAP analytics for internal and external customers, enterprise key management, data residency compliance, context-aware mobile experiences, and ML models for ranking and generative AI. Data infrastructure scaling and cost reduction are active areas.
Other companies in the same industry, closest in size