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 Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace.
As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent.
This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building.
Key responsibilitiesOwn the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning
Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity
Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record
Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews
Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift
Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments
Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows
Help define the long-term workforce strategy for Safeguards Enforcement
Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it
Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations
Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it
Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs
Exercise sound judgment on access and permissions, and know when to bring in IT or Security
Move quickly and stay effective when priorities change and information is incomplete
Build alignment through direct partnership with the teams you depend on
Owned a vendor or BPO relationship directly, including service levels and business reviews
Built formal capacity models for review or operations workforces
Supported workforces across more than one enforcement or harm area
Hands-on experience with device management and identity and access tooling
Worked through a period of hypergrowth where programs had to mature alongside the organization
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 from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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