Product Engineer

Department: Engineering

Location: San Francisco

Employment Type: FullTime

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.

Location

Hybrid (3 days/week in office) — San Francisco Bay Area, California. Visa sponsorship is not available for this role.