About Sana

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 role

You'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 will

• Architect 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

What success looks like

• 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

Our tech stack

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

What we offer

• 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.