There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.
You will own how this system behaves on desktop environments. Your work focuses on reliability, performance, and real-time behavior in production desktop applications.
Build and maintain cross-platform desktop applications using Electron.
Design responsive and scalable UIs for real-time collaboration.
Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking.
Integrate AI-powered features (chat, agents, AI assistance) via backend APIs.
Optimize startup time, memory usage, and runtime performance.
Profile and reduce Electron overhead.
Manage large local state and message history efficiently.
Ensure smooth real-time updates (messages, typing indicators, presence).
Maintain stability across macOS and Windows environments.
Proven software engineering experience.
Hands-on experience building production Electron applications.
Strong proficiency in JavaScript and TypeScript.
Experience with React or similar UI frameworks.
Solid understanding of the desktop application lifecycle.
Experience with IPC communication.
Experience working with local storage (SQLite, IndexedDB, filesystem).
Experience with WebSockets or other real-time transport mechanisms.
Strong debugging and performance profiling skills.
Familiarity with native OS behaviors on macOS or Windows.
Electron
Node.js
Typescript
SQl & noSQL
The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product
Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.
