C

Chai Discovery

AI foundation models for molecular interactions

Business Operations

Business OperationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Have operated within a company rather than only advised one.
  • Have commercial instinct and the ability to take action.
  • Be able to build models for major contracts and negotiate them.
  • Be hands-on with practical operational work, such as obtaining quotes for an office move or organizing an executive dinner.
  • Use artificial intelligence to work faster while assessing its output critically.
  • Be comfortable working with varied stakeholders and quickly build credibility in unfamiliar areas.
  • Consulting or banking experience should be accompanied by substantial experience owning outcomes inside a company.

Responsibilities

  • Partner with the founders and functional leaders to solve difficult business problems end to end.
  • Renegotiate contracts and align computing expenditure with actual needs.
  • Establish business functions and improve systems as problems are addressed.
  • Own an office move and assist with recruiting as needed.
  • Identify operational friction and pain points and resolve them promptly.
  • Help build an operations team with people embedded across key functions over time.

Desired Qualifications

  • A technical or scientific background.
  • Experience in a founder’s office or as an early business operations hire at a high-growth startup.
  • Experience owning cost and supplier decisions at a company known for operational rigor.
  • Experience as a deployment strategist.
  • Having started a company.

About the Company

Chai Discovery

AI foundation models for molecular interactions

Chai Discovery builds AI foundation models that predict and influence interactions between biochemical molecules, including proteins, DNA, RNA, small molecules, and covalent modifications. Its flagship model, Chai 1, is a multimodal tool available through a free web interface for both academic and commercial drug-discovery work. Revenue comes from commercial licensing and partnerships with pharmaceutical companies that want to embed the AI capabilities into their research pipelines. The goal is to accelerate biotechnology and pharma research by providing accessible AI-driven predictions of molecular interactions that guide experiments and design.

Company size
11-50
Company stage
Series C
Total funding
$630M
Headquarters
San Francisco, CA
Founded
2024

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