External Communications Manager, 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.
About the role
We're seeking a strategic communications professional to join our team and drive external storytelling for Anthropic's research and model training work. This role will be the primary external comms partner to our model research and training teams that cover areas like Interpretability, Alignment, and Model Welfare — some of the most distinctive and technically deep research work happening in AI.
In this role, you'll craft compelling narratives that make frontier AI research and safety work more accessible and meaningful to journalists, policymakers, the broader research and safety community, and the public.
The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about science and research, and the judgment to navigate nuanced, novel topics with care. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams.
This is a unique opportunity to shape how one of the world's leading AI labs communicates about the fundamental science of AI safety at a crucial moment for the field.
What you'll do
- Develop and execute communications strategies across our research portfolio, including interpretability, alignment, model welfare, and model training, turning dense technical work into stories that resonate with distinct audiences.
- Lead launch moments for major research publications, papers, and milestones, owning the narrative, media strategy, and cross-functional rollout.
- Create thought leadership opportunities for research executives to build their profiles as leading voices in AI safety through speaking engagements, bylines, conferences, and media.
- Build and maintain relationships with key science and technology journalists, research-focused outlets, and influencers in the AI and ML space.
- Serve as a trusted comms partner to research leads and senior stakeholders
You may be a good fit if you
- Have 8+ years of experience working in communications, ideally with significant time spent on science, research, or deep-tech storytelling.
- Have a strong record of building proactive communications campaigns around technical or scientific work that resonated with a diverse range of audiences.
- Excel at translating complex technical concepts into compelling messaging.
- Are excellent at media relations, including with reporters who cover tech, science and research rather than just business or product news.
- Have experience working directly with researchers, scientists, or engineers on a variety of topics
- Are comfortable operating in areas of genuine uncertainty — where the science is evolving, the stakes are high, and there may not be a right answer yet.
- Want to be part of a fast-paced, small, experienced, and impactful team.
- Are results-oriented, with a bias toward flexibility and impact.
Strong candidates may have
- Experience in science communications, academic research communications, or deep-tech comms
- Experience building executive brand and thought leadership programs — positioning technical leaders as credible, visible voices in their field through speaking, media, and owned content strategies.
- Background working directly with research teams, academic labs, or R&D functions at a technology company
- A track record of launching research papers, scientific findings, or technical reports to press and public
- Experience communicating about emerging or philosophically novel topics where public understanding is limited and the risk of misinterpretation is high
- Familiarity with the AI safety and alignment landscape
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