Senior Full-Stack Engineer — Build a Sales Performance OS

Hyperbound

San Francisco (CA)

Sur place

USD 190 000 - 280 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive salary and equity package
Early member of high-growth startup
SF office in South Park

Résumé du poste

Hyperbound, an early-stage startup in San Francisco, seeks a hungry, world-class full-stack engineer to join in-person at our SF HQ. You will own architecture, performance, and product direction, shipping from day one to enterprise customers.

You will work directly with founders and help shape a category-defining platform for sales performance. You will collaborate across frontend and backend using Next.js/React, Node.js/NestJS, PostgreSQL and MongoDB, with Python for ML tasks.

Qualifications

  • In-person in SF 5 days a week.
  • Early-stage startup mindset and willingness to grind.
  • Proficiency with TS/JS across the full stack.
  • Some Python experience for ML tasks is a plus.

Responsabilités

  • Build and deploy frontend and backend apps using Next.js/React and Node.js/NestJS REST APIs.
  • Implement responsive features with Next.js/React, TS, and TailwindCSS.
  • Integrate Python FastAPI server with ML workflows into the app.
  • Collaborate with the team, review code, and plan new features.
  • Ensure performance, scalability, and efficient database usage.

Connaissances

Full-stack
TypeScript/JavaScript
Fast-paced startup
Team collaboration

Outils

Next.js
React
Node.js
NestJS
PostgreSQL
MongoDB
Python
TailwindCSS
AWS

Description du poste

Hyperbound, an early-stage startup in San Francisco, seeks a hungry, world-class full-stack engineer to join in-person at our SF HQ. You will own architecture, performance, and product direction, shipping from day one to enterprise customers.

You will work directly with founders and help shape a category-defining platform for sales performance. You will collaborate across frontend and backend using Next.js/React, Node.js/NestJS, PostgreSQL and MongoDB, with Python for ML tasks.

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