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Hyperbound

AI-driven B2B prospect research platform

Full Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 3 years of full-stack engineering experience in React, Node.js, and TypeScript environments, including shipping production features across the frontend, backend, and database and owning post-launch outcomes.
  • Fluency with AI-assisted design and development tools to prototype, build, and debug, with the judgment to evaluate their output and take responsibility for shipped code.
  • Ability to identify where AI can improve a workflow and account for uncertainty, latency, and mistakes in the user experience.
  • Ability to turn ambiguous problems into a clear approach, make thoughtful tradeoffs, and carry the work through to a working product without a detailed specification.
  • Ability to scope a useful first version, ship it to customers, and improve it based on feedback.
  • Strong technical foundations developed through a bachelor's or master's degree in Computer Science or a related field, or equivalent coursework and practical experience.

Responsibilities

  • Build agents that reason through sales workflows, recommend actions, and collaborate with humans to help customers book more meetings and win more deals.
  • Own work end to end, from specification through building and launch.
  • Join customer calls, observe people using the product, and solve their problems.
  • Propose and build experiments, then make the case for incorporating successful ideas into the product roadmap.
  • Shape how the engineering team ships, uses AI, and defines its expectations.
  • Work with GraphRAG, context graphs, sub-agent architectures, voice AI, duplex models, MCP, multimedia processing, and durable execution.

About the Company

Hyperbound

AI-driven B2B prospect research platform

Hyperbound.ai provides AI-driven prospect research for B2B teams by automatically gathering and analyzing data about potential clients from sources like LinkedIn, Twitter, and TechCrunch to build detailed profiles. The platform uses AI to crawl public data, consolidate it into organized profiles, and present actionable insights that update over time as users choose a tier. Its main differentiator is delivering fast, consolidated insights from multiple data sources with a scalable, tiered subscription that matches the depth of research users need. The goal is to help clients boost productivity and maintain a competitive edge by reducing manual research time so teams can focus on strategy and engagement with prospects.

Company size
51-200
Company stage
Series A
Total funding
$15.1M
Headquarters
San Francisco, CA
Founded
2023

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