Sana builds agentic AI products (Sana Learn, Sana Agents) aimed at automating and augmenting knowledge work within enterprises. The stack—GCP, Kubernetes, Node.js, TypeScript, PostgreSQL, React, and Vespa—reflects a full-stack, infrastructure-heavy approach to scaling AI systems. Active hiring skews engineering and sales, with concurrent projects spanning search infrastructure, workflow builders for agents, and GTM scaling, indicating a phase of simultaneous product maturation and enterprise motion expansion.
Sana is a Stockholm-based AI lab (founded 2016, now part of Workday) that develops AI agents and learning tools for organizations. The company operates two main products: Sana Learn (an AI-native learning platform) and Sana Agents (a unified AI platform for workflow automation). Teams span engineering, sales, customer success, and support across Stockholm, London, and New York. Current focus areas include operationalizing agentic AI at enterprise scale, building search and workflow infrastructure, and rolling out solutions across customer bases while managing the technical challenges of legacy system migration and GTM expansion.
Primary stack: GCP, Kubernetes, Node.js, TypeScript, PostgreSQL, Vespa (search), React, and React Native. Also uses Terraform, Redis, and Google Analytics. Actively adopting Notion, Dropbox, Slack, and Databricks.
Key projects include building search infrastructure, developing workflow builders for agentic flows, scaling GTM motion, creating playbooks for solution scaling, and adopting Sana internally. Primary challenge: operationalizing agentic AI for enterprise workloads.
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