Product Engineer

About the role

This is a hands-on, generalist engineering role at an early-stage AI consumer hardware startup, where you'll own the app experience end-to-end across iOS, Apple Watch, and Mac — plus shared backend surfaces that power them. You'll work directly alongside product leadership, making real product tradeoffs and shipping user-facing improvements quickly in a small, fast-moving team.

Responsibilities

• Own app features end-to-end across iOS, watchOS, and Mac without a fully-specified backlog.
• Ship user-facing improvements addressing real issues — watch tap-target reliability, cross-platform meeting detection, 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 (tool use, memory, retrieval) into the consumer app experience.
• Collaborate with an ASR engineer on shared backend and pipeline surfaces.
• Take features from design through ship through iteration, driven by real user feedback.

Requirements

• 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 a Mac client.
• Genuine, broad capability across UX, UI, backend, and AI/ML — not deep in one area and dabbling in the rest.
• Experience as one of the first engineers at an early-stage or pre-launch startup, shipping with minimal specification.
• Demonstrated experience building and integrating agent/LLM-based features into production consumer apps.
• Backend development experience building shared services and APIs across multiple client surfaces.
• Ownership mindset: you make the call and implement it directly, without handing off.

Nice to have

• Experience with real-time or streaming systems (audio, ASR, live data pipelines).
• Wearable/hardware/robotics development experience.
• Prior work at an AI-native consumer app or hardware-adjacent startup.

Schedule

Hybrid (3 days/week in office) — San Francisco Bay Area, California, US.

Visa sponsorship is not available.