Imbue

Imbue

Product Engineer

San Francisco, CA · Exec

Sponsorship not specified$170k-$350kDetected 28 days ago
TypeScriptPythonReactMentoring

About the role

  • We believe in a future of open agents that you can modify to do exactly what you want.
  • We're supported by investors like Nvidia, Simon Last (co-founder of Notion), and Eric Schmidt (former CEO of Google), with $200M raised at over $1B valuation.
  • This role is a particularly good fit for anyone who either has previously been, or would like to be, a founder of a software product company.

Responsibilities

  • Implement rough prototypes for potential product ideas or iterations
  • Collaborate with our product design team to transform promising ideas into new product features

Compensation

  • Competitive compensation, equity, and benefits
  • Lunch provided daily to onsite employees

Company info

  • Imbue is a radically different AI company.
  • We believe that data should belong to you, humans should come before technology, and everyone deserves to own a personal team of AI agents. We believe in a future of open agents that you can modify to do exactly what you want.
  • We're building a suite of tools to make tech serve humans, and making it open source.
  • Some first projects include
  • We believe that data should belong to you, humans should come before technology, and everyone deserves to own a personal team of AI agents.
  • Sculpto r: An interface for programmers to run coding agents in parallel and stay in flow
  • mngr: A command-line tool for managing agents
  • Vet: A standalone tool that catches AI coding mistakes and reviews full PRs
  • Offload: A tool that automatically distributes your tests to run in isolated sandboxes
  • Latchkey: A command-line tool to integrate local agents with third-party APIs
  • Darwinian Evolver: A near-universal optimizer for code and agents
  • And we're just getting started.
  • If you're excited about building a future with open agents, say hi!

This listing is sourced directly from Imbue's careers page and normalized into a canonical job model.