Program Operations Manager, Human Data

Anthropic Anthropic · AI Frontier · San Francisco, CA · AI Research & Engineering

This role is responsible for building and running the operational backbone of Anthropic's Human Data team, which partners with external domain experts to shape AI systems. The Program Operations Manager will own systems for onboarding, access and tooling, communications, data integrity, and reporting. The role involves improving and automating processes, resolving issues for researchers and experts, and ensuring the program's performance. While the role uses AI tools, its core craft is operations and program management, not AI/ML model development.

What you'd actually do

  1. Run onboarding end-to-end. Own the workflow that takes external experts from offer-accepted to productive — setup, access, communications, and the things that inevitably go sideways.
  2. Own access provisioning. Grant, audit, and maintain access across collaboration tools and internal systems for a large external population. Build the documented, auditable process that makes this scale.
  3. Maintain program data integrity. Keep the tracking systems research teams rely on accurate and current; reconcile records with our external workforce partner and catch discrepancies early.
  4. Build program reporting. Stand up weekly metrics on headcount, time-to-productive, support volume, and domain coverage. Use the data to spot gaps and surface recommendations.
  5. Partner across the organization. Work with research DRIs, IT, and our vendor partner to resolve access issues and keep experts unblocked.

Skills

Required

  • 4+ years of experience in program operations, research operations, recruiting coordination, vendor management, or a similar operational role
  • Owned an operational process end-to-end — you've been the person accountable when something broke, and the person who fixed it
  • Are comfortable being the primary point of contact for a large, distributed population — you answer questions directly rather than routing them
  • Exercise strong judgment about prioritization when the volume of work exceeds the time available, and know when to escalate versus resolve independently
  • Are highly detail-oriented and take real ownership of data accuracy — you notice when a tracker is stale and can't leave it that way
  • Write clearly and concisely; most of this job happens over Slack and email, and clarity compounds across hundreds of interactions
  • Are comfortable executing at high volume in a program that's still being shaped — you handle edge cases well and surface what you learn
  • Use AI tools as a core part of how you work — drafting communications, cleaning data, building lightweight automations — and are comfortable with spreadsheets when that's the right tool

Nice to have

  • Experience scaling an operational program through rapid growth
  • Background in external workforce, vendor, or recruiting operations
  • Light scripting or automation experience (Apps Script, Zapier, or similar)

What the JD emphasized

  • owned an operational process end-to-end
  • primary point of contact for a large, distributed population
  • highly detail-oriented and take real ownership of data accuracy
  • comfortable executing at high volume in a program that's still being shaped