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Gamut

Synthetic data platform for privacy-compliant AI

Office Manager/Ops Generalist

Administrative SupportConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 3 years of experience in office management or operations roles at a startup or similarly fast-paced environment.
  • Ability to establish and document operational processes, then improve them based on usage.
  • Comfort using Google Workspace, Slack, Notion, and calendaring tools; experience with an HR information system or applicant tracking system and basic information technology troubleshooting is advantageous.
  • Ability to handle sensitive information discreetly and maintain detail-oriented checklists.

Responsibilities

  • Set up and maintain the workspace; manage information technology, cleaning, snacks, security and badges, and supplies vendors.
  • Coordinate onboarding and offboarding, including employment eligibility paperwork, accounts, and equipment; process benefits and payroll changes in the human resources information system; maintain company policies and handbooks.
  • Partner with hiring managers, schedule interviews using Ashby and Calendar, and coordinate candidate logistics.
  • Manage invoices, expenses, corporate cards, receipts, and basic purchasing; assist with budget tracking and procurement.
  • Plan team events, welcome guests and candidates, and serve as the office's point of contact.
  • Take on special projects as needed.

Desired Qualifications

  • Experience with an HR information system or applicant tracking system such as Ashby.
  • Basic information technology troubleshooting experience.

About the Company

Gamut

Synthetic data platform for privacy-compliant AI

Datomize (Datawizz) provides a platform that creates high-fidelity synthetic data to replace real data for AI/ML training and testing, while removing any personal identifiers to meet privacy laws. The product mimics the behavior and relationships of production data, including complex relational structures, and can scale to thousands of tables and millions of records. It differentiates itself by delivering privacy-safe data with strong fidelity suitable for regulated industries like finance, addressing the data-shortage bottleneck to speed development. The goal is to help teams train and test models faster and launch new applications quickly without risking privacy or regulatory issues.

Company size
1-10
Company stage
Seed
Total funding
$18.5M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2019

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