About this role
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.
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, you’ll drive the cross-functional work that makes Claude deployable, compliant, and commercially viable in Anthropic’s priority markets — from compute infrastructure and data residency to product localization and sovereign deployment frameworks.
WHAT YOU’LL DO
- Contribute to Anthropic’s 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 Anthropic’s 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 doesn’t get lost in HQ product cycles
- Serve as the GTM strategist for Anthropic’s 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 Anthropic’s positioning and commercial strategy
WHAT WE’RE LOOKING FOR
- 5–7 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 don’t 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; you’ll 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 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.
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.
Logistics
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.
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.
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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