Policy Communications Lead, Washington D.C.

Posted 4 Days Ago
Be an Early Applicant
Washington, DC
240K-300K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
Lead and manage policy communications strategies, educate stakeholders about AI products, and enhance media relations in a fast-paced environment.
Summary Generated by Built In
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.

Anthropic seeks an exceptional policy communications professional to promote understanding and awareness of the organization’s mission and policy perspectives.

Reporting into the Head of Corporate and Policy Communications, you will work with policy, legal and external affairs to educate press and policy makers in D.C. and beyond about our products and principles.  The ideal candidate should be someone who is a highly skilled media handler who is used to working in a fast-paced environment.  They should have the ability to move fast, think critically and work collaboratively on complex issues. A deep understanding of the D.C. media environment, the technology sector and Anthropic’s varied audiences is key. 

Responsibilities

  • Develop and execute proactive communications strategies that effectively communicate our products and plans to key stakeholders
  • Work with the policy team to craft our responses to policy developments that impact the AI industry and architect reactive communications strategies
  • Partner cross functionally with the policy, legal and product teams to prepare for major company announcements and product launches, and to handle inbound media requests
  • Build strong relationships with journalists and relevant influencers in D.C. and important policy hubs
  • Orchestrate and write company blog posts and other communications materials
  • Manage executive interviews and speaking engagements

You may be a good fit if you

  • Have 10+ years directing policy communications at high-growth tech companies and/or successful political campaigns
  • Want to be part of a fast-paced, small, experienced and impactful team
  • Enjoy and are excellent at media relations
  • Are a superb written and verbal communicator
  • Enjoy working cross-functionally with a range of technical and non-technical teams
  • Are excited to translate insights about AI for broader audiences
  • Are results-oriented and high agency, with a bias towards flexibility and impact
  • Care about ensuring that transformative AI systems are developed safely

Sample Projects

  • Lead the communications planning and execution of major company announcements
  • Oversee executive visits to D.C. and elsewhere 
  • Manage fast moving inbound press enquiries on complex issues
  • Provide counsel and support to team members across the organization

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:

$240,000$300,000 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.

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The Company
HQ: San Francisco, California
57 Employees
Remote Workplace

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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