Job description

ABOUT READ AI: 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. 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. 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 hardware for better capture quality, and the release path that keeps installed software healthy on real users' machines. You'll work directly with product and design to ship roadmap features, and you'll be a critical part of the deeper R&D that determines what's possible. Part of your job is showing product what the local machine makes viable - the things we can't build on web or mobile alone. WHAT YOU'LL DO: BUILD THE UNIFIED DESKTOP EXPERIENCE: - 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. OWN THE NATIVE LAYER: - Expand meeting capture across Windows and macOS, treating both as first-class platforms - Investigate and prototype on-device transcription and audio processing - Collect additional signals to strengthen our AI capabilities - Connect to external devices to improve capture quality RAISE THE BAR ON THE CODEBASE: - Write Rust that stays fast to work in — clear structure, strong tests, and interfaces that hold up as the app grows - Set the patterns and conventions that make the codebase productive for engineers and AI agents alike - Own release quality end to end: signing, notarization, auto-update, crash telemetry SHAPE WHAT GETS BUILT: - Bring technical vision to roadmap conversations - what's possible on desktop that isn't possible elsewhere - Partner with product and design from problem definition, not just implementation - Contribute to how the team ships, using AI to make rigor efficient rather than slow WHAT WE'RE LOOKING FOR: - 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 - Comfortable across the native/web boundary - able to work in React and TypeScript without treating it as someone else's job - Practical knowledge of OS-level concerns: permissions, device access, background processes, packaging and distribution - Authorized to work in the US - we're not able to sponsor visas for this role NICE TO HAVE: - Audio capture, DSP, or real-time media pipeline experience - Tauri, or comparable hybrid frameworks - On-device ML or local inference work - Hardware or peripheral integration experience WHY THIS ROLE MATTERS: Most meeting tools live in a browser tab, which puts a hard ceiling on what they can do. Desktop is where that ceiling comes off — the machine has access to audio, devices, and compute that no web app can reach. This role decides how much of that advantage we actually capture. It's also a small team on a surface that's about to matter a lot more. The decisions you make in your first year will shape what Read's desktop experience is for years after. WHY READ AI? - Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective. - Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action. - Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 inc.com by Inc Magazine, and is one of the Top AI Companies in Demand by Startups techcrunch.com, according to a16z. - Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile fortune.com and listen to him share his vision for AI Agents, Digital Twins and the Future of Work podscan.fm. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI builtin.com. For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief read.ai. - Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team. Senior Software Engineer positions offer a base pay range of $180,000-$220,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs. Please note our company does not provide visa support or sponsorship for employees.

Requirements

Must-haves

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.
Expand meeting capture across Windows and macOS, treating both as first-class platforms
Investigate and prototype on-device transcription and audio processing
Collect additional signals to strengthen our AI capabilities
Connect to external devices to improve capture quality
Write Rust that stays fast to work in — clear structure, strong tests, and interfaces that hold up as the app grows
Set the patterns and conventions that make the codebase productive for engineers and AI agents alike
Own release quality end to end: signing, notarization, auto-update, crash telemetry
Bring technical vision to roadmap conversations - what's possible on desktop that isn't possible elsewhere
Partner with product and design from problem definition, not just implementation
Contribute to how the team ships, using AI to make rigor efficient rather than slow
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
Comfortable across the native/web boundary - able to work in React and TypeScript without treating it as someone else's job
Practical knowledge of OS-level concerns: permissions, device access, background processes, packaging and distribution
Authorized to work in the US - we're not able to sponsor visas for this role
It's also a small team on a surface that's about to matter a lot more. The decisions you make in your first year will shape what Read's desktop experience is for years after.

Nice-to-haves

Audio capture, DSP, or real-time media pipeline experience
Tauri, or comparable hybrid frameworks
On-device ML or local inference work
Hardware or peripheral integration experience

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airustreacttypescriptml

Platform: ashby
Effort: quick

Benefits

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