Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE This is a hands-on, generalist product engineering role at an early-stage ambient AI consumer startup, where you will own the app experience end-to-end across iOS, Apple Watch, and Mac alongside the backend surfaces that power them. You will work directly with product leadership, make real product tradeoffs independently, and collaborate closely with a China-based R&D, hardware, and supply-chain team across time zones. WHAT YOU'LL DO
- Own app features end-to-end across iOS, watchOS, and Mac, working directly with product leadership without a fully-specified backlog.
- Build and ship user-facing improvements quickly, addressing real issues surfaced from early product use such as watch tap-target reliability, cross-platform meeting 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, into the consumer app experience.
- Collaborate with a shared ASR engineer on backend and pipeline surfaces both roles touch.
- 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 of: mobile, desktop, wearable, or backend.
- Proficiency in Swift/SwiftUI for iOS and watchOS, with shipped apps on both platforms.
- Comfort with TypeScript/React and Electron for Mac/desktop client development.
- Genuine, demonstrated capability across UX, UI, backend, and AI/ML, not deep in one area with surface-level familiarity in others.
- Experience as one of the first engineers at an early-stage or pre-launch startup, shipping features with minimal specification.
- Track record of making independent UX and scope tradeoff decisions and implementing them directly without handoff.
- Demonstrated experience building and integrating agent/LLM-based features into production consumer applications.
- Backend development experience building shared services and APIs that power multiple client surfaces.
- Ownership mindset: you make the call, then implement it directly.
- Nice to have: experience with real-time or streaming systems such as audio processing or live data pipelines; prior work at an AI-native consumer app; experience with wearable devices, hardware, or robotics. COMPENSATION & BENEFITS Salary range: $150,000 to $200,000 USD annually. Visa sponsorship is not available for this role. LOCATION Hybrid, three days per week in office in the San Francisco Bay Area, California, USA.
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v3
JobOpportunity is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →