Product Engineer
About the role
The AI copilot for in-person conversations. First product engineer for AirCaps, responsible for owning core apps and AI-powered wearable experiences end-to-end for a consumer wearable (AR glasses).
Responsibilities
- Brainstorm, validate, and define new features using real customer data and interviews alongside the founders
- Define requirements and architect AI-powered wearable applications
- Build across Android XR (Kotlin/Java), iOS (Swift), and Android (Kotlin)
- Design and optimize agentic pipelines using streaming multimodal models (audio, vision, text)
- Push performance across latency, reliability, accuracy, power consumption—and even thermals when it matters
- Ship fast: test, QA, release → fix bugs as soon as things break → iterate on high-signal user feedback at lightning speed
Qualifications
- Experience level: Any (new grads ok)
- Visa: Will sponsor
- Skills: Kotlin, Python, Swift
Skills
About AirCaps
AR glasses to better understand, remember and learn from conversations
We're building lightweight AR glasses that help you understand, remember and learn from conversations. AirCaps displays captions, translations, summaries and proactive insights for your conversations in your field of view in real-time. We're starting with real-time captions for hearing loss. We've done $330K in sales in 6 months, grew 350% this month, have users averaging 6h+ daily use, and went viral on TikTok (75M views). Madhav (Yale CS, MIT Media Lab audio AI) and Nirbhay (Cornell CS) have been obsessed with smart glasses for 11 years—building Google Glass apps from age 13. People spend 3 hours a day in meaningful conversations—negotiations, interviews, pitches, conflicts, first dates. They struggle to comprehend 25-50% of them, forget 70% within 24 hours and 90% within a week, and have no way to learn and improve from their conversations. AR glasses are the only form factor that can augment conversations without disrupting them. They keep your hands free, allow you to maintain eye contact, provide information exactly when needed, and have unfiltered access to everything you hear and see. In 5 years, 4.7 billion smartphone users will use smart glasses. But today's AR glasses are too heavy, conspicuous, and power hungry while failing to provide utility: generic toys without purpose. Conversations demand real-time, hands-free, eyes-up assistance precisely when you can't look away—the killer use case to kickstart mass adoption. If we're right, we'll own the gateway to the next interface for technology.