Policy Counsel, EMEA
Anthropic · Dublin, IE
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- Dublin, IE
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Subject: Interested in the Policy Counsel, EMEA role at Anthropic
Hi Sam — I came across the Policy Counsel, EMEA opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Anthropic stood out because…
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About the 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 seeking a Policy Counsel to support our public policy and legal initiatives at the intersection of AI technology and regulation. As a member of our legal team, you'll work cross-functionally to navigate emerging policy challenges and help build and advocate for frameworks that promote responsible AI development. This is an exceptional opportunity to tackle novel legal and policy questions while contributing directly to the future of AI governance.
Key responsibilities
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Support the development of AI governance frameworks that align with evolving regulations, industry best practices, and global standards Monitor and analyze emerging legislative and regulatory developments related to AI
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Provide legal analysis and advice to the External Affairs team and other Public Policy stakeholders
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Partner with Public Policy and technical teams in developing practical policy guidance that is informed by a deep understanding of our products
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Assist in drafting policy positions and proposals and advocacy materials
Minimum qualifications
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Law degree and qualification to practice law in a relevant Dublin jurisdiction
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Experience with policy, regulatory, or government affairs work, whether in government, at a technology company, a law firm, or a policy organization
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Strong written and verbal communication skills, including the ability to make complex legal and technical concepts accessible to non-legal audiences
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Strong analytical and problem-solving skills, with the ability to work through ambiguous policy questions
Preferred qualifications
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6+ years of relevant legal experience
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Experience working on complex technology policy issues across AI/ML policy, data privacy, copyright, or technology regulation
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Familiarity with Dublin legislative and regulatory processes, including experience with EU or national-level advocacy
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Experience drafting policy positions, comment letters, or regulatory submissions
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Demonstrated ability to quickly understand AI concepts and translate them into policy contexts
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Interest in government affairs matters and a commitment to responsible AI development
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A collaborative, humble approach and the ability to work effectively across diverse teams
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Comfort working in a fast-paced environment while maintaining attention to detail
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.