Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.
We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.
We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.
About the roleYou'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.
In this role, you willArchitect multi-step planning, orchestration, and tool routing for agents
Implement code generation agents and sandboxed code execution
Engineer memory, state, and context packing/grounding strategies
Balance latency, quality, and cost controls for agent execution
Develop safe fallbacks, graceful degradation and robust error handling
Collaborate with platform and search teams to deliver reusable agent infrastructure
Establish safety guarantees and measurable quality improvements
Agent architectures are robust, reliable, and enterprise-ready
Context and tool engineering enables agents to act intelligently, at scale
Clear metrics, automated evaluation, and continuous improvement in agent capabilities
Quality and safety are measurable and continuously improving
Durable building blocks accelerate product teams and unlock new capabilities
We build on a simple modern stack optimized for both humans and AI.
Backend: TypeScript, Kotlin, Node.js
Frontend: TypeScript, React, Tailwind
Databases: Postgres, Redis
Cloud infra: GCP/Kubernetes/Terraform
Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG.
Competitive salary complemented with a competitive RSU program.
Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.
Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.
Skills Required
- Experience in multi-step planning and orchestration for AI agents
- Proficiency with TypeScript and Node.js
- Knowledge of cloud infrastructure (GCP/Kubernetes/Terraform)
- Experience with memory and context engineering
What We Do
Sana is an AI company building the next generation of knowledge tools. Our products are trusted by the world's most pioneering companies. Backed by world-leading investors including NEA, Menlo Ventures, and EQT Ventures, Sana has raised over $130m to date. We believe advancing human knowledge is the world's most important problem to solve. Come and do your life’s work: sanalabs.com/careers Offices Stockholm London NYC Products Sana Learn — AI-native learning platform Sana Agents — AI agents for every team
