International Readiness Lead
Job Summary
About Anthropic
Anthropics 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
Anthropic is scaling internationally at speed and navigating an increasingly complex landscape of data residency requirements sovereign AI expectations and product localization needs.
As International Readiness Lead youll drive the cross-functional work that makes Claude deployable compliant and commercially viable in Anthropics priority markets from compute infrastructure and data residency to product localization and sovereign deployment frameworks.
Responsibilities
- Contribute to Anthropics international compute strategy in partnership with technical compute security and finance teams covering cloud capacity regional deployment models and the path from 3P-only to 1P infrastructure in priority markets
- Develop Anthropics framework for evaluating and sequencing data residency and sovereign deployment requests balancing commercial opportunity regulatory requirements geopolitical risk and mission alignment
- Identify and document international customer requirements for product localization (language compliance data handling integrations) and build internal processes to get them prioritized with Product and Engineering
- Translate infrastructure and product capabilities into commercial propositions partnering with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver and when
- Serve as the internal subject matter expert on international readiness requirements advising on deals partnerships and policy positions as they arise
- Build scalable processes for capturing triaging and acting on international product feedback so it doesnt get lost in HQ product cycles
- Serve as the GTM strategist for Anthropics mission-oriented international programs including our approach to responsible AI deployment in democratic allied nations and our strategy for expanding access and affordability in Global South markets
- Partner with Policy Beneficial Deployments and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation not just a policy framework
- Track and synthesize the competitive landscape for sovereign AI and national AI programs (OpenAI for Countries DeepMind national partnerships Nvidia sovereign business) surfacing implications for Anthropics positioning and commercial strategy
You may be a good fit if you have
- 57 years in product technical GTM solutions engineering or strategy roles with meaningful international scope
- Strong working knowledge of cloud infrastructure data residency frameworks and enterprise compliance requirements you dont need to be an engineer but you need to earn credibility in technical rooms
- Experience working with or selling to government customers or regulated enterprises understanding procurement trust requirements and the longer sales cycles they entail
- Ability to synthesize complex technical regulatory and geopolitical constraints into clear commercial and strategic recommendations
- Comfortable building internal processes from scratch; this role involves significant cross-functional coordination with no existing playbook
- High autonomy and strong written communication; youll be influencing product compute and policy roadmaps without direct authority
Strong candidates may also have
- Direct experience with sovereign cloud programs regulated data environments or government AI initiatives
- Familiarity with EU AI Act India DPDP Act or similar regulatory frameworks shaping enterprise AI deployment internationally
- Experience at a hyperscaler cloud provider or enterprise SaaS company navigating international infrastructure decisions
- An interest in the intersection of AI democratic governance and responsible technology deployment and a view on why it matters commercially not just philosophically
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
120000 - 170000 GBP
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190000 - $270000 USD
Logistics
Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were 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. Were 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 aboutour policyfor using AI in our application process
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.