[Hiring] People Ops Internship @Atlan

Role Description

Atlan is building an AI-native People Operations function and we need someone sharp, curious, and organised to help us run it. This is a hands-on internship with real work:

• Running day-to-day lifecycle operations including onboarding, off-boarding, role changes, and leave coordination
• Sending offer letters, collecting documentation, and supporting first-day logistics
• Keeping employee records accurate and up to date in HiBob, including audits for missing fields and stale data
• Maintaining trackers for headcount, joiners, and exits
• Pulling and organising state-by-state labor law postings into our Confluence wiki
• Triaging incoming People, Talent, and Rewards intake requests - routing to the right owner and following up on stalled threads
• Capturing workflow notes so real execution turns into better documentation over time

Qualifications

• Pursuing or recently completed an MBA, BBA, or related degree
• Genuinely curious - you research deeply, ask thoughtful questions, and don't wait to be told what to do next
• Hyper-organised and detail-oriented, comfortable with repetitive, process-heavy work
• A strong written communicator - clear notes, tight follow-ups, no dropped threads
• Comfortable with Google Workspace and spreadsheets; picks up new tools quickly
• Available to work East Coast US hours
• Based in India, ideally Delhi or Bangalore

Benefits

• Direct exposure to how a modern, AI-native People Operations function is built at a global SaaS company
• Hands-on experience with HiBob, Asana, Confluence, Google Workspace, Glean, and Atlan's internal AI tools
• Mentorship from the People team
• A real body of work to point to: lifecycle execution, HRIS audit support, documentation buildout, and intake triage
• 6 month paid internship with potential for extension based on performance

Company Description

Atlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents.