People Ops & Workplace Coordinator

LangChain LangChain · Data AI · New York, NY · People

This role is a People Ops & Workplace Coordinator at LangChain, a company focused on building the foundation for agent engineering. The role involves managing daily office operations, executing onboarding and off-boarding, supporting benefits and immigration logistics, and building systems for the People Ops and Workplace functions to scale. A key aspect is identifying repetitive tasks and proposing AI-assisted solutions to automate them, and using LangChain's own products to improve efficiency. The ideal candidate has a high ownership mentality, comfort with ambiguity, and is actively curious about and building with AI tools.

What you'd actually do

  1. Greet employees and guests; manage building access and visitor protocols
  2. Own the daily office environment: supplies, snacks, desks, AV, and common areas
  3. Serve as the first point of contact for any office-related issue, you either fix it or escalate it fast
  4. Coordinate with building management, IT, and facilities vendors
  5. Run aspects of onboarding: HRIS setup in Rippling, system access, equipment coordination, Day 1 logistics

Skills

Required

  • 2–4 years in office management, People Ops coordination, HR, or a closely related role
  • Direct experience with an HRIS platform, Rippling strongly preferred
  • High ownership mentality: you notice what's broken and fix it without being asked
  • Strong judgment on what to handle vs. escalate
  • Comfort with ambiguity and pace, this is a build environment, not a maintain one
  • Actively curious about and building with AI tools; you should be the person on your team who creates innovative solutions first
  • Genuine warmth and professionalism at the front of house, you represent the company to every person who walks through the door

Nice to have

  • Experience with immigration coordination (H-1B, OPT, PERM)
  • Background at a Series B–D tech startup
  • Familiarity with LangSmith, Claude CoWork, Rippling, Ashby, Google Workspace, Notion, Slack

What the JD emphasized

  • AI-assisted solutions
  • use our own products to make your job more efficient
  • Actively curious about and building with AI tools