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Founding Engineer

PublishedPublished: 6/14/2022
Engineering

Job Description

Job Description

San Francisco, CA · On-site · Full-time Compensation: $175,000–$250,000 + 1%–6% equity

About the Company

Our client is building a real-time AI companion product aimed at young women — operating at the frontier of human-AI interaction, designing realistic real-time interfaces that feel present and proactive rather than sterile and turn-based. It's currently in market with 130 paying customers, day-one retention above 80%, and week-two retention around 70%, and was founded by a repeat founder with a prior exit.

Founded 2026 · 1–10 people (Seed) · Industry: Consumer Tech

The Role

This is engineer number one — working directly with the founder on the most technically interesting problems in real-time AI interaction, from memory systems and latency optimization to voice and video interfaces that feel delightful at scale.

Tech stack: Backend (Python, Go, Rust, TypeScript, or similar) + distributed systems; full-stack with ML model integration; real-time / latency-sensitive infrastructure; voice/video systems.

Requirements

  • 3+ years of backend + full-stack shipping experience (excluding internships)
  • Raw intelligence and the ability to move fast (the founder's priority over seniority)
  • In person in San Francisco, high-intensity culture
  • A former founder or early-stage engineer preferred

Nice to Haves

  • A former founder or founding engineer
  • A top-school background with high raw intelligence
  • Taste and judgment on AI-generated outputs
  • Deep technical taste that predates AI tools
  • Genuine fascination with real-time, latency-sensitive, or voice-first systems

Why Join

  • Engineer #1, direct to founder: the first engineering hire, working hand-in-hand with a repeat founder on the hardest problems in real-time AI
  • Proven traction, complexity about to explode: 130 paying customers with strong retention, joining right as the technical surface expands into voice and video
  • Full ownership across the stack: backend infra, ML integration, in-house memory systems, latency, and voice interfaces — plus setting the engineering bar and helping recruit the team

Details

  • Location — San Francisco, CA
  • Work policy — On-site, high-intensity
  • Compensation — $175,000–$250,000 + 1%–6% equity
  • Visa sponsorship — Available (H-1B, O-1)
  • Employment type — Full-time
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