Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic's Human Data team partners with external domain experts — clinical pharmacists, securities lawyers, physicists, philosophers, and more — whose work directly shapes what Claude can do and how safely it does it.
We're looking for a Program Operations Manager to build and run the operational backbone of this program. You'll own the systems that keep a large, distributed group of external experts productive: onboarding, access and tooling, communications, data integrity across our vendor partner, and the reporting layer that shows how the program is performing.
The processes you'll run are still being built, and you'll be executing them at a volume that surfaces gaps nobody has seen yet. A meaningful part of the role is noticing what's going poorly, improving or automating it, and feeding that back into how the program is designed. You'll be the person research teams come to when they need experts ramped, and the person experts come to when they're blocked. It's a highly visible role with a clear throughline to the work that trains Claude.
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.
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.
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.
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.
Partner across the organization. Work with research DRIs, IT, and our vendor partner to resolve access issues and keep experts unblocked.
Have 4+ years of experience in program operations, research operations, recruiting coordination, vendor management, or a similar operational role
Have 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
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)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning fro