Founding Fullstack Engineer

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profile Job Location:

New York City, NY - USA

profile Yearly Salary: USD 100000 - 150000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Were building the protocol for private intent-driven discovery where agents work on your behalf match you with the right people and coordinate actions based on unstructured signals like curiosity goals and timing. Think programmable introductions reputation-driven matching and context-aware ambient discovery.

Now were looking for a Founding Fullstack Engineer to help us push that vision forward. Youll be shaping the architecture of both our frontend and backend building systems that integrate into real-world social protocols. Youll prototype fast test with real users and iterate in the wild.

Tasks

  • Building and scaling our React frontend (with Tailwind Radix UI and Ant Design)
  • Designing and implementing Express TypeScript APIs backed by Postgres (via Drizzle ORM) and Redis
  • Prototyping real-time event-driven features that support intent-driven discovery
  • Developing SDKs and services that external developers can use

Requirements

  • Have 3 years of hands-on TypeScript experience across frontend and backend
  • Strong with (hooks state performance component design)
  • Solid backend experience with Express Postgres (SQL/ORMs) and Redis
  • Comfortable with DevOps basics (Docker CI/CD cloud infra like AWS)
  • Proficient with Git Unix and modern dev environments
  • Thrive in fast-paced ambiguous environments and love shipping quickly

Benefits

  • Competitive pay & real ownership - Salary plus meaningful equity.
  • Health dental vision - Solid coverage so you can focus on building not bills.
  • Flexible time & location - Were NYC-based but work how and where were most effective.
  • Gear growth budget - Get the setup and learning resources you need.
  • Tight early team energy - Low ego fast feedback and a lot of shared momentum.

Were early fast and a little wild. If that sounds like your speed wed love to talk.

Were building the protocol for private intent-driven discovery where agents work on your behalf match you with the right people and coordinate actions based on unstructured signals like curiosity goals and timing. Think programmable introductions reputation-driven matching and context-aware ambient ...
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