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Crucibl

AI-native operating system for enterprise decision-making

Member of Technical Staff

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • At least one signal of excellence, such as having built and shipped at a top technology company, having been an early engineer at a startup that built a real product, notable open-source work, or attending a top-tier computer science program.
  • Strong engineering fundamentals in distributed systems, data, or artificial intelligence and machine learning.
  • Experience shipping meaningful products end-to-end, including systems rather than only features.
  • Fluency in modern technology stacks.

Responsibilities

  • Design and build the intelligence engine end-to-end, including data ingestion, model orchestration, reasoning pipelines, application programming interface layers, and user interface integration.
  • Own architecture across stack boundaries to support scalable, evolvable systems.
  • Collaborate with founders on the roadmap, trade-offs, and technical vision.
  • Ship directly to enterprise clients.
  • Define engineering standards for an AI-first organization and raise the bar for the growing team.

Desired Qualifications

  • Experience building artificial intelligence and machine learning pipelines or working on products powered by large language models.
  • Experience with enterprise data systems or analytics infrastructure.
  • Experience operating in a high-growth, high-ambiguity environment.
  • An owner mindset, with a broad perspective beyond one's individual area.

About the Company

Crucibl

AI-native operating system for enterprise decision-making

Crucibl unifies scattered company data into a single model called the Company Brain, powering an AI-native operating system for large organizations. Its product is a B2B SaaS platform that surfaces relationships, risks, trends, and recommended actions from accounting, operations, and communications to drive measurable outcomes. It differentiates itself with enterprise-grade data integration and AI-powered judgment aimed at replacing traditional management consulting at scale, backed by a team with experience from Google, Sequoia, and BCG. The company’s goal is to disrupt the management consulting market by providing scalable, data-driven decision support that improves strategic planning, risk management, and execution.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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