Product Engineer
AirCaps AISan Francisco, CAposted 17h ago
- PayUSD / yr
- $150k – 220k
- Where
- San Francisco, CA
- Posted
- Nov 4
- 17 hours ago
- Type
- Full-time
- Setup
- On-site
At a glance
Build and ship AI-powered experiences for AirCaps’ smart glasses, spanning mobile apps, multimodal agentic pipelines, and performance optimization from concept through production.
Summarized by AI from the original posting
What you'll do
- Define requirements and architect AI-powered wearable applications
- Build across Android XR, iOS, and Android
- Design and optimize agentic pipelines using streaming multimodal models
- Build, test, QA, and release product features
- Use customer data and interviews to define new features
- Optimize performance, latency, reliability, accuracy, power consumption, and thermals
- Fix bugs and iterate based on user feedback
Requirements
- 01Experience building and shipping products
- 02Experience with AI-assisted development tools
- 03Ability to work in 0-to-1 environments
- 04Strong product sense and user empathy
- 05Track record of shipping high-quality work
- 06Willingness to optimize latency, reliability, accuracy, power consumption, and thermals
Perks
Skills
Full description
We’re hiring the first product engineer for our AI smart glasses: AirCaps.
You’ll own core apps and functionality end-to-end: building, testing, and shipping AI experiences for a consumer wearable.
Your ideas and code will directly impact thousands of users across 40+ countries already using our product.
What You’ll Do:- 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
- Thrive in 0→1 environments, from ideation through production and iteration
- Obsess over craft. The details matter to you across the whole stack, from data models to pixel-level UI details
- Ship work you're actually proud of and have a track record of doing so.
- Want to build products that impact thousands of real consumers.
- Are Claude Code native (or AI of your choice)
- Have grit: you're willing to chase hard optimization problems where every 100ms matters
- Are fascinated by how humans will interface with technology (bonus if you’ve imagined building a real-life JARVIS)
- Be early at a company defining the next computing platform
- See your work in the hands of users across the U.S., Europe, Korea, India, Japan, and 30+ other countries
- Work directly with the founders and shape product direction
Today’s interfaces were built for the pre-AI era. That’s about to change—for the 4.7 billion people using smartphones today.
The race is on to define the next interface. At AirCaps, we're betting everything on voice-first software and hardware.
If we're right, we'll own the gateway to the next computing platform.
About AirCaps AI
AirCaps is bringing AI assistance to in-person conversations.
Our AI-copilot provides live captions, translations, AI meeting notes and insights for in-person conversations in real-time. It's deployed as an app for lightweight AR glasses so you can see visual information overlaid onto your field of vision.
You can think of it like a Zoom AI meeting assistant or Granola, but for in-person conversations, and with the ability to proactively help you in real-time, not just after the conversation.
We’re building the capture and intelligence layer for the 216 billion daily conversations that happen face-to-face.
We’ve already transcribed 40,000 hours of in-person conversations and counting. Today, AirCaps assists with 11% of our users’ in-person conversations.
We previously went viral (75M+ views on TikTok, 150K+ followers) and have been featured by The New Yorker, WIRED, and Forbes.
Compensation: $150K - $220K
Skills: Kotlin, Python, Swift
Experience: Any (new grads ok)