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Regulatory Product Policy Lead

AnthropicOnsite

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.

Role Overview


As a member of the Product Public Policy team, you will help drive Anthropic's global policy strategies on copyright, privacy and emerging AI regulations. You'll work at the intersection of policy, legal, product, and commercial goals, translating complex regulatory landscapes into strategic product advantages while building trust with stakeholders worldwide. This role combines deep policy expertise with strategic thinking and strong collaboration skills to influence global policy development and inform product decisions.

Core Responsibilities


  • Partner with legal, product, GTM, and other policy stakeholders to execute Anthropic's public policy strategies (particularly on copyright, privacy + additional emerging tech policy issues as relevant) across key markets (US, EU, UK, APAC)
  • Draft model legislation in key emerging tech and product issue areas
  • Monitor emerging policy frameworks and translate their product implications into actionable strategies
  • Partner with external affairs to develop and execute an engagement strategy targeting regulators, policymakers, industry, and civil society stakeholders on priority issues that support our product roadmap
  • Lead strategic initiatives including research partnerships and campaigns that advance policy goals
  • Build relationships with stakeholders in copyright, privacy and content policy across trade associations, academia, government, and civil society
  • Translate emerging autonomous AI capabilities into proactive regulatory strategies
  • Communicate potential product considerations that address policymaker concerns before they become blockers. 
  • Serve as technical policy expert for regional teams, providing substantive depth for complex regulatory discussions (e.g., EU digital reforms, APAC data localization

Minimum Qualifications


  • 8+ years in copyright, privacy, and/or content policy, with significant tech sector experience (directly or indirectly)
  • Deep understanding of global copyright and privacy regulations and frameworks, including existing relationships with key policy players
  • Strong track record working with product, legal, and cross-functional teams to drive initiatives and influence decisions
  • Proven ability to translate policy principles into practical product solutions
  • Expert stakeholder management experience with senior executives and government officials
  • Experience in tech policy with understanding of AI technology and regulatory trajectory

Preferred Qualifications


  • Direct experience with LLMs and copyright, and/or privacy-preserving LLM technologies
  • Background in AI governance and emerging technology policy
  • International regulatory experience across multiple jurisdictions

The expected salary range for this position is:Annual Salary:$255,000 - $295,000USD

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

Life at Anthropic

Anthropic PBC is a U.S.-based artificial intelligence (AI) startup company, founded in 2021, researching artificial intelligence as a public-benefit company to develop AI systems to “study their safety properties at the technological frontier” and use this research to deploy safe, reliable models for the public. Anthropic has developed a family of large language models (LLMs) named Claude as a competitor to OpenAI’s ChatGPT and Google’s Gemini.
Thrive Here & What We Value1. Mission-driven organization focused on creating safe and beneficial AI systems2. Collaborative team working towards long-term goals of steerable, trustworthy AI3. Emphasis on impact rather than smaller puzzles4. View AI research as an empirical science with physics and biology parallels5. Values communication skills and frequent research discussions to ensure highest-impact work6. Believes in big science approach to AI research7. Collaborative group that values impact over smaller puzzles8. Emphasizes collaboration and alignment across internal teams9. Commitment to creating reliable, interpretable, and steerable AI systems10. Values representation and diverse perspectives on the team.</s>
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