Regulatory Product Policy Lead

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.

Role Overview

As a member of the Product Public Policy team you will help drive Anthropics global policy strategies on copyright privacy and emerging AI regulations. Youll 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 Anthropics 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

Logistics

Education requirements: We require at least a Bachelors 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 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.

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