Internal Communications Manager

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San Francisco, CA
In-Office
220K-280K 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 Internal Communications Manager to join our Communications team. Internal Communications at Anthropic works across teams to steer and foster a culture that's rooted in our mission, values, and company goals. In this role, you will make sure every Anthropic employee feels engaged, informed, and understands how their daily work directly contributes to our mission as a public benefit corporation: to ensure the world safely makes the transition through transformative AI.

This role works like a communications business partner, going deep with assigned functions to fully understand their challenges, priorities, and needs. You'll own internal communications for your portfolio of teams, serving as their embedded communications expert while maintaining tight partnerships with their leadership.

Responsibilities:
  • Own and lead communications strategy for a dedicated portfolio of functional areas, becoming an expert in their work and a trusted member of their leadership team
  • Partner closely with function leaders and executives to understand priorities, help them communicate change, and ensure their teams feel connected to the broader mission
  • Cultivate and manage channels for disseminating timely information from teams
  • Design and implement strategies to boost signal and reduce noise so employees know what's important and what it means for them
  • Use qualitative and quantitative research to propose strategies and tactics that align with company goals and will resonate with our employee audience
  • Weave our brand across different touchpoints, working across teams to uplift stories that connect our daily work to our mission
  • Exhibit operational excellence to help plan and execute internal fora like team all-hands, news roundups, etc.
  • Partner closely with the broader internal communications team to ensure updates are being accurately and consistently cascaded via all our existing channels and live forums.
  • Co-design and implement principles, practices, and governance for how we use communications channels
You may be a good fit if you:
  • Are an exceptional writer with a particular talent for distilling complex decisions and cross functional projects into simple, compelling narratives
  • Have 5-7 years of proven experience executing and leading in fast-changing, complex, and international organizations
  • Thrive on deep partnership with leadership teams and can truly embed yourself in business functions
  • Have experience being a communications business partner or similar trusted advisor role
  • Are comfortable navigating organizational dynamics and can build strong working relationships with executives

The expected salary range for this position is:

Annual Salary:
$220,000$280,000 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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