Senior Platform Engineer (Learn & Agents)

Sana

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 Ship customer-facing value quickly in small teams - owning everything from problem definition through UX, API, and instrumentation. You’ll work end-to-end to deliver features that delight users and move the needle for Sana and our customers. IN THIS ROLE, YOU WILL * Own features from design to deploy - frontend (React/TypeScript), backend (Node/TypeScript) and database (Postgres) * Integrate with agent and retrieval APIs to deliver seamless product experiences * Instrument products, run A/B tests, and iterate quickly with design and PM * Make pragmatic trade-offs and thrive in ambiguous 0→1 product spaces * Collaborate closely with stakeholders, users and teammates to define and solve the right problems WHAT SUCCESS LOOKS LIKE * Features ship fast, delight users, and drive measurable impact * End-to-end ownership is the norm - problems are solved, not handed off * Product instrumentation and A/B tests inform every iteration * You are a force multiplier for your squad, making everyone around you better * Ambiguity is an opportunity, not a blocker 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.

Sana

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 ROLES You will work on the core backend systems that power Sana’s Learn platform and search infrastructure. You will redesign and scale systems to handle enterprise workloads, remove deep bottlenecks, and evolve our architecture for the era of AI and agents. We are hiring for two senior roles: 1. Senior Backend Engineer, Learn (Core Systems) 2. Senior Backend Engineer, Search 1. SENIOR BACKEND ENGINEER, LEARN (CORE SYSTEMS) ABOUT THE ROLE You will focus on making the Learn platform, especially Manage, Insights, and APIs, scalable and maintainable for enterprise use. You will take systems that work at current scale and redesign them to handle much larger volumes of data, users, and entities. The work is primarily architectural and system level, with strong emphasis on Postgres and database design. IN THIS ROLE, YOU WILL * Redesign existing components to support enterprise scale workloads * Analyze and resolve bottlenecks in storage, query performance, APIs, and data models * Lead migrations away from legacy implementations to sustainable replacements * Improve reliability and efficiency of APIs and integrations for internal and external clients * Drive technical projects from definition to delivery with Product Managers and other teams * Maintain a long term view of system health and architecture * Share technical knowledge, review designs, and set best practices for backend and systems design WHAT SUCCESS LOOKS LIKE * Architecture and scalability are prioritized over short term fixes * Risks are identified early and addressed with solid technical solutions * You balance hands on coding with architectural leadership * Learn core systems support larger enterprise customers without performance or reliability issues * Strong Postgres skills (schema design, query optimization, indexing) improve performance and scalability 2. SENIOR BACKEND ENGINEER, SEARCH ABOUT THE ROLE You will build and scale Sana’s search infrastructure for enterprise scale knowledge discovery. You will architect retrieval systems, ranking algorithms, and search APIs that handle large increases in volume while maintaining sub second latency and high relevance. You will rethink the search stack for the era of agents, using engines like Vespa, vector databases, and embedding models. IN THIS ROLE, YOU WILL * Architect and scale search infrastructure to billions of documents in multi tenant environments * Design hybrid search that combines keyword search with semantic understanding and vector search * Build ranking and personalization systems that learn from user behavior * Collaborate with AI engineers to integrate large language models into the search pipeline and build retrieval augmented systems * Optimize search performance across query parsing, index design, and distributed architecture * Lead development of search observability and quality frameworks with clear metrics and monitoring * Work closely with product and design to shape the future of knowledge discovery at Sana WHAT SUCCESS LOOKS LIKE * Search systems scale elegantly to billions of documents and millions of queries with strict latency targets * Systems apply proven IR techniques and practical advances in semantic AI retrieval * Search quality issues are detected early through strong observability and automated regression checks * You balance implementation with system design and mentor others on search and IR fundamentals * Deep expertise in search infrastructure (index optimization, query planning, distributed retrieval, caching) prevents performance issues before users see them * The stack evolves from traditional search to AI powered discovery, including embeddings, reranking, and RAG, while staying reliable * Search infrastructure supports enterprise deployments with strict SLAs, multi tenancy isolation, and very high uptime 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.

Workday Sweden Aktiebolag

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 As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. In this role, you will Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments. Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). Design and implement scalable cloud infrastructure solutions. About You Basic Qualifications: 3+ years of experience in infrastructure, platform, or site reliability engineering. 3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments. 3+ years of experience with Kubernetes, including deployment, scaling, and operations. 3+ years of experience with infrastructure-as-code tooling, such as Terraform. 3+ years of experience designing and operating highly available, scalable, and reliable backend systems. 2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services. Other Qualifications: Experience acting as an SRE, with a strong understanding of site reliability principles in production environments. Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation. Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams. Experience with Postgres and Redis in production, including performance tuning and reliability practices. Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support. Strong observability skills, including logging, metrics, alerting, and incident response. Ability to navigate ambiguity and drive infrastructure projects from concept to production. Strong communication skills, with the ability to partner effectively across engineering and product teams.