Global Mobility Coordinator
Quick Summary
the employee always knows where things stand, stakeholders such as Payroll, People Services, and Legal have what they need before they ask, and nothing falls between systems.
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.
About the Role
~1 min readAnthropic's mission depends on our people being able to do their work wherever that work needs to happen. Global Mobility is what makes that possible.
This role is the operational heart of that work. You will be responsible for business travel compliance at Anthropic — business visas, posted worker and social security obligations, and documentation that get our people across borders — together with the entity transfers that move employees between our legal entities as the company grows. You will also support the rest of our mobility programs: relocations, international assignments, and short-term placements, along with the project work that comes with them as they grow.
Responsibilities
~2 min read- →Own business travel compliance cases end to end. Business visas, PWD, Social Security registration. You decide what a case needs, work the documentation to ground, and get people where they are going. Novel fact patterns will land on your desk without precedent. You research it, form a view, and check it with your manager before we commit.
- →Support employees through relocations and assignments. You are the person they come to from the day they accept to the day they arrive. You initiate cases with our providers, keep the move on track, and answer the questions people have when they are moving their life to another country.
- →Own the experience of every entity transfer. You execute the process end to end, and you hold the experience: the employee always knows where things stand, stakeholders such as Payroll, People Services, and Legal have what they need before they ask, and nothing falls between systems. A transfer can be a big moment in someone's working life. Your work is what makes it feel seamless.
- →Be the first line for global mobility questions. Employees, hiring managers, and recruiters come to you first. You answer most of it yourself, escalate the genuinely novel, and turn the questions you keep getting into documentation so you stop getting them.
- →Hold our providers to their commitments. You will know their process well enough to tell what they cannot do from what they simply have not done yet — and you will say so, in a relationship forward manner.
- →Pick up the project work as our programs grow. You handle the exceptions, so you see the patterns before anyone else: a policy that needs rewriting because the same case keeps coming up, a new provider to implement, a country we have not sent anyone to before. Scoped with your manager, run by you.
Requirements
~1 min read- Have worked in global mobility. We do not expect expertise across business visas, relocation, and mobility tax. We do expect that you have personally owned cases and can walk us through one.
- Are relentlessly responsive. You treat employees and colleagues as people navigating a stressful moment, not as tickets. You close loops before anyone has to chase you.
- Explain complicated things simply. You can make a visa process legible in writing, quickly, and without jargon.
- Look for the repeatable thing inside the manual thing. You have made your own work faster before, and you would rather build the fix than absorb the pain.
- Experience with entity transfers, business travel compliance including PWD filings, or Social Security notifications
- Familiarity with Workday, Greenhouse, or Jira
- Hands-on experience using Claude or other LLM tooling in their daily work
- Experience at a startup growing quickly, where the process is not always written yet
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.
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.
Location & Eligibility
Listing Details
- Posted
- August 4, 2026
- First seen
- August 4, 2026
- Last seen
- August 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- August 4, 2026
Signal breakdown

Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable artificial intelligence systems. Founded by former OpenAI members, the company develops the Claude family of large language models with a primary focus on ensuring AI's long-term benefit to humanity.
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