View all jobs
Closed

VP of Engineering

🇺🇸 San Francisco, United States Hybrid5+ years

This position is no longer available

Check more opportunities below

Skills & Languages

Must-have required
Llm6 Year(s)AI6 Year(s)
Languages required
English



We’re building an always-on ambient memory app that continuously captures audio across iOS, Android, Chrome, and Web, turning conversations into live transcripts and AI-powered summaries.

We have 100K+ active users, strong growth, raised a $9M seed at a $100M valuation, and we’re preparing for Series A. Our team is small, senior, and moves fast.

The Challenge

This is not typical SaaS.

We solve hard technical problems every day:

  • Continuous background audio capture on mobile under real battery and OS constraints
  • Real-time speech-to-text plus higher-accuracy batch pipelines
  • LLM summarization where every call and regeneration has real cost at scale
  • Multi-cloud inference routing for cost, latency, and reliability

At our scale, reliability and cost per hour of audio are core engineering problems.

Who We Need

We’re looking for a VP of Engineering who has scaled a consumer product from early traction to serious scale.

You’re a strong operator who knows how to build a disciplined engineering org without slowing it down.

You:

  • Set high standards for execution and delivery
  • Build strong teams and hold people accountable
  • Care deeply about reliability, cost, and velocity
  • Are still technical enough to go deep on architecture when needed
  • Have hired great people—and managed people out when necessary

This role reports directly to the CEO and owns engineering execution end-to-end.

You’ll Own

  • Engineering strategy and execution
  • Team scaling and hiring
  • Delivery discipline and planning
  • Reliability, infrastructure, and observability
  • Cost controls across cloud, inference, and LLM usage
  • Building a high-performance engineering culture

Ideal Background

You likely have experience with:

  • Consumer mobile apps at scale
  • Distributed systems
  • Real-time infrastructure
  • AI / LLM products
  • Cost-sensitive cloud architecture

Bonus if you’ve worked on audio, speech, streaming, or inference-heavy systems.

Why Join

You’ll help build the engineering foundation of a category-defining AI company at a pivotal stage.

Small team. Big ambition. Hard problems. Real ownership.







 

Lost connection

The internet blinked. We’re catching up.

Reload page
An error has occurred. This application may no longer respond until reloaded.Reload 🗙