Product Public Policy, Model Development and Research
AnthropicAbout 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'll ensure Anthropic's model development practices inform emerging AI governance frameworks and build trust with policy stakeholders. You own the policy dimensions of every major model release, translate our Responsible Scaling Policy into frameworks for transparency legislation, work closely with our Labs team on policy-informed research/product development, and lead initiatives that demonstrate our commitment to openness and responsible development.
In this role you will:
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Translate RSP components into emerging policy frameworks
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Own policy engagement related to Claude's Constitution, translating our model values and behavioral frameworks into governance standards and demonstrating how principled AI development can inform regulation
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Drive policy strategy and positioning for major model releases, including how to position developments in light of voluntary commitments, policy pressures; external engagement and input
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Partner with research teams to translate technical advances into policy narratives for regulators, AI Safety Institutes, and the technical policy community
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Develop frameworks showing how our technical practices (interpretability, safety evals, development methodology) tie to public policy priorities
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Represent Anthropic in standards bodies and regulatory consultations on model development and governance
You may be a good fit if you:
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8+ years in AI/tech policy with technical depth to engage credibly on model development and evaluation
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Strong understanding of LLM development, evaluation methodologies, and AI safety
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Track record translating technical practices into policy frameworks and regulatory strategies
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Proven cross-functional work between technical teams and policy stakeholders
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Expert stakeholder management with experience working across policy, technical, academia, and civil society
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Experience with AI governance frameworks (EU AI Act, transparency requirements, safety standards)
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
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.
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