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Crucibl

AI-native operating system for enterprise decision-making

Member of Technical Staff - Applied Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Demonstrate at least one strong signal of excellence, such as building and shipping machine-learning systems at a top technology company, serving as an early applied scientist at a startup that built a real product, notable open-source work, or participation in a top-tier computer science or machine-learning program.
  • Have strong fundamentals in machine learning and artificial intelligence, including experience taking models from prototype to production.
  • Have shipped meaningful machine-learning-powered products end-to-end, including systems that people rely on rather than isolated features.
  • Be comfortable across the applied-work stack, including data, modeling, evaluation, and deployment.

Responsibilities

  • Design and build the reasoning and modeling components at the core of the intelligence engine, including retrieval, orchestration, evaluation, and fine-tuning.
  • Turn promising research techniques into robust, production-grade systems.
  • Own the full experiment-measure-ship-iterate cycle using real client data.
  • Build and improve the models and pipelines that power judgment at scale for enterprise clients.
  • Instrument systems to detect failure modes early and turn them into concrete improvements.
  • Balance rigor with speed to deliver timely answers to clients.
  • Collaborate with the founders on the roadmap, trade-offs, and technical vision.
  • Ship directly to enterprise clients, delivering work with immediate, measurable impact.
  • Define what high-quality applied science looks like in an AI-first organization and raise the bar for the growing team.

Desired Qualifications

  • Experience building LLM-powered products, pipelines, or agentic systems in production.
  • Experience with enterprise data systems or analytics infrastructure.
  • Experience operating in a high-growth, high-ambiguity environment.
  • An ownership-oriented, big-picture perspective.

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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