Anthropicでは、政策パートナーシップおよび会議リードを募集しています。グローバルなパートナーシップ戦略の策定、政策イベントの統括、主要なステークホルダーとの関係構築を担います。政策戦略およびチームマネジメントの経験が必須であり、複雑な環境下でプログラムを主導する能力が求められます。AI政策分野の専門知識を持ち、組織の成長を牽引できるリーダーを求めています。
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.
We are seeking a new member of our Central Policy team to build and lead the Partnerships and Convenings function. This function is responsible for policy strategy with a wide range of multinational civil society organizations, industry actors, and other third parties, along with the events through which policy relationships are built and sustained. You will manage a team comprising both Policy Partnerships and Policy Events experts. Your charge is to make the sum of that work strategically coherent, globally scalable, and accountable to Anthropic's policy goals.
The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. We focus on building the systems, resources, and scalable programs that empower our broader policy team to succeed. You'll work closely with our federal affairs, state and local affairs, international affairs, national security, policy communications, and research teams.
This is a builder's role as much as a manager's. You and your team will be tasked with standing up credible partnership and events programs at speed. This function will serve as a bridge between a wide range of Anthropic's teams on one side, and third-party policy stakeholders on the other. Successful candidates will demonstrate a track record of operational and policy excellence.
Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems, and we build partnerships with other policy actors through proactive, opinionated, substantive policy conversations. Success in this role requires being a trusted partner both to cross-functional colleagues and external actors.
This role requires approximately 25% travel, including international travel to priority regions and travel to Anthropic offices for alignment and planning sessions.
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.
Annual Salary:
$295,000—$345,000 USD
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.
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.
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.
