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Editorial, Economics & Policy Lead

New York City, NY; San Francisco, CA; Washington, DC

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 at the center of critical conversations about AI's economic and societal implications—from AI's impact on labor markets and economic growth to questions of AI governance, competition policy, and the future of innovation. Through initiatives like the Anthropic Economic Index and our broader research efforts, we're working to build rigorous, evidence-based understanding of AI's economic effects. In this role, you'll lead our editorial work at the intersection of AI, economics, and policy, helping to shape how Anthropic contributes to these essential debates.

As Economics & Policy Lead on the Editorial team, you'll produce rigorous, compelling content that bridges technical AI capabilities with economic analysis and policy implications. You'll write about everything from AI's productivity effects and the economics of compute to AI policy frameworks, regulatory approaches, and progress studies. Your work will engage policymakers, economists, technologists, and the broader public in substantive conversations about AI's role in shaping our economic and political future.

About the Editorial Team

The Editorial team is responsible for shaping how Anthropic communicates about AI—from digital and printed publications to public events. Our goal is to build understanding about both the opportunities and challenges of advanced AI systems. We collaborate extensively with partner teams across the organization.

Role Responsibilities:

  • Create engaging, rigorous written content about the economics and policy implications of AI development and deployment
  • Develop Anthropic's thought leadership on topics including: AI's economic impacts, innovation policy, governance frameworks, competition and market dynamics, progress studies, and regulatory approaches
  • Collaborate with Anthropic's Policy and Econ teams, our research scientists, and external economists/policy experts to translate complex ideas into accessible public-facing content
  • Engage with policymakers, think tanks, academic institutions, and media to advance productive conversations about AI policy and economics
  • Identify emerging economic and policy questions related to AI and develop compelling narratives around them
  • Work crossfunctionally on editorial content related to the Anthropic Economic Index and other economic research initiatives
  • Communicate in diverse formats and for multiple audiences—from op-eds in major publications to longer-form essays, policy briefs, video and audio interviews, and company blog posts
  • Contribute to Anthropic's broader communications strategy on issues of AI progress, safety, and societal impact

You May Be a Good Fit If You:

  • Have a strong background in economics, public policy, or a related field, with proven ability to communicate clearly and compellingly about complex economic and policy topics for broad audiences
  • Possess deep knowledge of AI policy debates, innovation economics, regulatory approaches to emerging technologies, or adjacent areas
  • Have published research or commentary in respected outlets (academic journals, think tank publications, major media outlets)
  • Can engage credibly with both technical AI concepts and economic/policy frameworks
  • Excel at translating academic research and policy analysis into compelling narratives
  • Have strong instincts for identifying which policy and economic questions will matter most as AI develops
  • Care deeply about evidence-based policymaking and the societal implications of AI
  • Are comfortable engaging in policy debates while maintaining intellectual rigor and nuance
  • Can represent Anthropic's perspective effectively while engaging constructively with diverse viewpoints

Strong Candidates May Also Have:

  • An advanced degree in economics, public policy, political science, or a related field
  • Experience working in or with policymaking institutions (think tanks, government, policy advocacy organizations)
  • A track record of influencing policy debates through writing and public engagement
  • Connections within policy and economics communities relevant to AI governance
  • Experience with progress studies, innovation policy, or the economics of technology
  • Direct experience working on AI policy or technology policy issues
  • Published work on topics such as: economic growth, innovation economics, regulatory policy, competition policy, or the economics of emerging technologies

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:

$255,000 - $320,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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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