About The Role

ABOUT THE ROLE

This is a hands-on, generalist product engineering role at an early-stage AI consumer startup, where you'll own the app experience end-to-end across iOS, Apple Watch, and Mac — plus the shared backend surfaces powering them. You'll work directly alongside product leadership, making real product tradeoffs and shipping improvements quickly without waiting for a fully-specified backlog.

WHAT YOU'LL DO

Own features end-to-end across iOS, watchOS, and Mac, collaborating closely with product leadership and without a fully-defined backlog.
Build and ship user-facing improvements addressing real issues surfaced from early product use — including wearable reliability, cross-platform detection, and agent responsiveness.
Move fluidly between 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.
Proficiency in TypeScript/React and Electron for desktop/Mac client development.
Genuine, demonstrated capability across UX, UI, backend, and AI/ML — not deep in one with dabbling in the rest.
Experience building and integrating agent/LLM-based features into production consumer applications.
Background as one of the first engineers at an early-stage or pre-launch startup, shipping with minimal specification.
Track record of making independent UX/scope tradeoff decisions and implementing them without handoff.
Backend experience building shared services and APIs powering multiple client surfaces.
Experience with real-time or streaming systems (e.g. audio processing, live data pipelines) is a strong plus.
Prior work at an AI-native consumer app or hardware-adjacent startup is a plus.
Experience with wearable devices, hardware, or robotics product development is a plus.