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Role description

MacOS Engineer

Town.com logoTown.com
TypeFull-time
WorkplaceOn-site
Salary$225,000–$250,000
LocationSan Francisco, CA
Posted8/19/2026
Engineering

About Town

Town is building the AI coworker for every team. Everyone gets their own Townie, an AI assistant that learns how you work (your voice, judgment, relationships, and priorities) and does real work on your behalf across email, calendar, docs, Slack, and CRM. Townies don't wait to be prompted. They observe, learn, and act. And because every teammate has one, Townies can ask each other questions and hand off work, so the whole team moves faster together.

Four months after our public launch, we became a $1B company. We recently raised a $108M Series B, co-led by Forerunner Ventures and Menlo Ventures, with continued support from Andreessen Horowitz, First Round Capital and angels such as Zach Perret, Soleio Cuervo, Scott Belsky, and more. Our founders, Jean-Denis and Tony, previously led EPD at Plaid and applied AI product at Google.

About the role

Town is most powerful when it's ambient — always there, aware of what you're working on, one keystroke away. The native macOS app is how that happens. We're looking for a Desktop Engineer to own Town's macOS client: a fast, deeply-integrated, always-on app that lives in your menu bar, understands the context around you, and acts the moment you need it.

You'll own the native client end to end — architecture, OS integration, performance, and the release pipeline — and set the craft bar for what a Town desktop experience feels like. The bar is someone who has shipped a real Mac app that people loved to use, and sweats the details that make native software feel effortless.

What you'll do

  • Build and own Town's native macOS app in Swift, SwiftUI, and AppKit — architecture, features, and polish.

  • Go deep on the OS: menu-bar and background agents, global shortcuts, notifications, EventKit, and the Accessibility APIs that let Town understand and act across other apps.

  • Make an always-on client that's genuinely fast and light — low memory, low battery, no jank.

  • Own the release pipeline: code signing, notarization, sandboxing/entitlements, crash reporting, and seamless auto-update.

  • Handle sensitive user data on-device with the security and privacy it deserves, in partnership with our security work.

  • Work closely with the backend and AI teams to bring Town's agent to the desktop natively.

  • Set the craft and performance bar for the desktop experience — and lay the groundwork for future platforms.

You might thrive here if you...

  • Have extensive experience building native macOS (and/or iOS) applications, with depth in Swift.

  • Are fluent in both AppKit and SwiftUI and know when to reach for each.

  • Have worked below the UI layer: OS-level APIs, background processes, IPC/XPC, notifications, accessibility.

  • Care about performance and polish

  • Have shipped and owned a Mac app end to end, including signing, notarization, and updates.

  • Want to own a product surface from zero and move at startup speed doing it.

Location

In-person in San Francisco's Financial District, five days a week. Everyone is here to do their best work and make this product a success.

Relevant archetypes

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Company info

Town.com logo

Town.com

Town provides an AI assistant platform that learns from a user's existing work patterns, communications, tasks, and workflows to help manage and complete day-to-day activities. The platform connects with workplace tools such as email, calendars, documents, messaging applications, customer relationship management systems, project management software, and databases. Its AI assistants can draft emails, prepare meeting briefings, organize schedules, conduct research, monitor tasks, and automate recurring workflows based on how individual users work. Town also supports team collaboration by allowing assistants to operate across shared business tools and data sources through a wide range of integrations. The platform emphasizes personalized assistance, workflow automation, and task execution within the applications that users already use.

Series BRecently raisedEx-Google foundersBacked by Scott Belsky
AI-product
Founded2024
HQSan Francisco, United States
Size11–50 employees
IndustryTechnology, Information and Internet
Latest fundingSeries B · Sep 3, 2026
Investors
Forerunner VenturesMenlo Ventures

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