Startups · AI

Senior Software Engineer - Desktop (Rust/Tauri)

Read · Read AI - Seattle HQ · Remote

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About Read

Read AI, the fastest growing AI meeting assistant, ever, delivers real-time transcription, smart summaries, and enables AI search and discovery across all your content including meeting, messages, emails, CRM, and documents. Backed by Madrona.

About the role

Our desktop application today captures meeting audio and surfaces transcripts and reports. Our intent is to turn it into the control center for Read meetings - where people prepare beforehand, capture during, and generate outcomes after, in one unified experience.

What they're looking for

  • Ship features that make preparing, capturing, and reviewing meetings feel like one seamless flow
  • Implement the desktop side of our cross-app UI unification so Read looks and behaves like one product everywhere
  • Create a seamless cohesive experience that gets complexity out of the way of users so they can focus on their outcomes
  • 5+ years building software professionally, with meaningful time on desktop or client applications
  • Have shipped installed software to real users on Windows, macOS, or both - and supported it after launch
  • Working proficiency in Rust, or deep systems experience in a comparable language and genuine appetite for Rust
More about this role

At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones.

Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we’d love to meet you.

Our desktop application today captures meeting audio and surfaces transcripts and reports. Our intent is to turn it into the control center for Read meetings - where people prepare beforehand, capture during, and generate outcomes after, in one unified experience.

The app is built in Rust with Tauri, with a React frontend, and the hardest problems live at the boundary with the operating system: system audio capture across two very different permission and device models, on-device processing, connections to external...

Read the full posting on Read's site ↗

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