About The Role

ABOUT THE ROLE

This is a hands-on, generalist product engineering role at an early-stage ambient intelligence startup, where you'll own the app experience end-to-end across iOS, Apple Watch, and Mac — along with the shared backend surfaces that power them. You'll work directly alongside product leadership, making real tradeoffs on the fly and shipping user-facing improvements without a fully-specified backlog. It's a rare opportunity to shape a consumer AI product from the ground up across hardware-adjacent and mobile platforms.

WHAT YOU'LL DO

Own app features end-to-end across iOS, watchOS, and Mac, working directly with product leadership without a structured backlog.
Build and ship user-facing improvements addressing real issues surfaced from early product use — including wearable interaction reliability, cross-platform detection, and agent responsiveness.
Move fluidly across UX, UI, backend, and AI/ML depending on what each feature needs, making scope and design tradeoffs independently.
Integrate agent and LLM-based features — including tool use, memory, and retrieval — directly into the app experience.
Collaborate with an ASR Engineer on shared backend and pipeline surfaces.
Take features from design through ship through iteration based on real user feedback, without waiting for the next instruction.

WHAT WE'RE LOOKING FOR

3+ years shipping consumer product features end-to-end across at least two platforms (mobile, desktop, wearable, or backend).
Proficiency in Swift/SwiftUI for iOS and watchOS, with shipped apps to show for it.
Comfort with Electron and web technologies (TypeScript/React) for the Mac client.
Genuine, demonstrated capability across UX, UI, backend, and AI/ML — not deep in one and dabbling in the rest.
Experience building and integrating agent/LLM-based features (tool use, memory, retrieval) into production consumer applications.
Backend development experience building shared services and APIs across multiple client surfaces.
Prior experience as one of the first engineers at an early-stage or pre-launch startup, shipping with minimal specification.
Track record of making independent UX and scope decisions and implementing them directly without handoff.
Nice to have: experience with real-time or streaming systems (audio processing, live data pipelines); prior work at an AI-native consumer app; wearable, hardware, or robotics product background.