About the RoleThis 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.
Compensation & BenefitsSalary: $150,000 - $200,000 USD annually. Visa sponsorship is not available.
LocationHybrid (3 days/week in office) - San Francisco Bay Area, California, United States.
