Head of Corporate Communications

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2 Locations
In-Office
355K-485K Annually
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
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.

About the role

Anthropic is seeking an experienced Head of Corporate Communications to define and drive our corporate communications strategy. In this role, you will build and lead a global Corporate Communications team, partnering closely with the Head of Communications and other organization leaders to develop differentiated messaging, plans, and programs that resonate with our priority audiences and elevate Anthropic's position in the market.

You will lead issues management, rapid response to industry shifts, and handle major corporate announcements while coaching our executive bench. As the economic and societal impacts of AI technology become increasingly significant, you'll help leverage communications as a vehicle for Anthropic's mission to help society successfully navigate AI's broader implications. The ideal candidate combines exceptional strategic vision with compelling storytelling abilities and the ability to navigate ambiguous situations with sound judgment.

We're looking for a high-energy, proactive leader who offers fresh perspective on communications in the AI era. You'll develop a holistic approach that recognizes the limitations of solely relying on mainstream media, demonstrating deep understanding of internet culture and new media ecosystems to authentically engage our core audiences about AI's role in society and the economy.

Responsibilities:
  • Build and lead a global Corporate Communications team
  • Partner with leadership to define a relevant, differentiated corporate communications strategy rooted in robust competitive intelligence
  • Translate strategy into break-through campaigns, narratives and initiatives that advance Anthropic's position with relevant audiences
  • Lead issues management and rapid response to crises and industry shifts
  • Handle major corporate announcements and coach our executive bench
  • Drive talent and business momentum narratives
  • Protect and advance Anthropic's reputation and brand
You may be a good fit if you:
  • Have 10+ years leading corporate communications at high-growth technology companies, with 6+ years managing teams
  • Have experience building teams and processes from the ground up
  • Can translate complex technical concepts for diverse audiences
  • Possess truly stellar written and verbal communication skills
  • Are high agency and low ego
  • Have a strong grasp on new and traditional media
  • Display strong operational capabilities
  • Are self-driven with a bias to action
  • Show excellent judgment and instincts in navigating ambiguous situations
  • Maintain epistemic humility while making informed decisions
  • Bring an open and curious mindset to deeply understand technical concepts

The expected salary range for this position is:

Annual Salary:
$355,000$485,000 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

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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