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HR Operations Manager

CrewAI · United States

RemoteImported listingfull-time2 months ago

About The Role

Join CrewAI as our first HR Operations Manager. In this role, you will be responsible for building and managing the HR infrastructure that supports our fast-growing team. You will work closely with leadership, hiring managers, finance, and legal to ensure smooth HR operations, compliance with employment laws, and effective onboarding and offboarding processes. This is a remote-first position with strong ownership and impact opportunities.

  • Own end-to-end HR operations, including HRIS administration, employee records, payroll coordination, and benefits administration.
  • Design and run onboarding and offboarding programs, build and maintain HR policies, and ensure compliance with employment laws.
  • Partner with Finance on payroll accuracy, benefits invoicing, and headcount reporting; turn people data into actionable insights.
  • Hands-on experience owning an HRIS (e.g., Rippling, Gusto, BambooHR, Workday, or similar) plus payroll and benefits administration
  • Working knowledge of U.S. employment law and multi-state compliance; you know what you don't know and when to loop in legal counsel
  • 4+ years of HR operations experience, ideally including time at a fast-growing startup where you had to build process, not just run it
  • Sharp attention to detail with sensitive data, paired with genuinely strong written and verbal communication — you can explain a policy to an employee as clearly as you can explain a risk to leadership
  • Comfort with ambiguity: you can take "we need HR ops to exist" and turn it into a working function without a lot of hand-holding
  • A bias toward building scalable systems over one-off fixes, plus the judgment to know when a quick manual fix is the right call anyway
  • Experience standing up HR operations at a company that scaled from roughly 20 to 100+ employees
  • Exposure to international employment (EOR platforms, contractor compliance, or global payroll)
  • Experience in a technical, engineering-heavy, or AI/ML organization
  • Familiarity with People analytics tools or building dashboards in Looker, Tableau, or similar

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