Program Manager, Safeguards Workforce Operations at Anthropic in San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
- Company: Anthropic
- Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
- Posted: Sep 24, 2026
- Type: Full-time
- Salary: $245,000 - $285,000 USD
- Experience: 4+ years
- Visa sponsorship available
Overview
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 th…
Job description
- 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.
Responsibilities
- Own 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
Requirements
- 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
Skills
Required
- Onboarding and offboarding
- Access and device provisioning
- Scaled human review program operations
- Process improvement and scalability
- Capacity planning
- Access governance
- Vendor management
- Cross-functional collaboration
- Judgment on access and permissions
- Adaptability
- Partnership building
Preferred
- Vendor or BPO relationship management
- Formal capacity modeling
- Multi-area workforce support
- Experience in hypergrowth environments
Benefits
- 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.
- $245,000 - $285,000 USD
About Anthropic
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. How we're different 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.