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Anthropic is seeking an Enterprise Communications Manager in New York to lead diverse communications across enterprise audiences, focusing on product launches, customer storytelling, and executive thought leadership. The ideal candidate will have extensive experience in enterprise communications within the B2B tech space and possess strong writing skills.
The role offers competitive compensation ranging from $255,000 to $320,000 annually. Anthropic is committed to building AI systems that are safe, reliable, and beneficial for society.
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 is looking for an Enterprise Communications Manager. This is a central role in how Anthropic shows up with enterprise customers, partners, and buyers.
The role spans the full breadth of enterprise communications: product launches translated for business audiences, vertical narratives and launches for industries like financial services and healthcare, partnership and customer announcements, executive thought leadership, competitive positioning, and content that speaks to CIOs, CFOs, and CISOs — and reaches the millions of business users who rely on Claude every day.
This team moves fast, and you\'ll juggle several projects at once, often with overlapping timelines. You are a strong project manager, a self-starter, and a real cross-functional partner — as comfortable building repeatable playbooks as you are running launches. You\'ll work across multiple enterprise communications disciplines (product, vertical, partner, customer, and executive), drawing on an understanding of how large organizations evaluate technology and a background that mixes product and enterprise communications.
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: $255,000 — $320,000 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. 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. We think AI systems like the ones we\'re building have enormous social and ethical implications, 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. For confirmed position openings, visit anthropic.com/careers
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. 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.