Content Designer, Enterprise Growth

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

As a Content Designer on the Enterprise Growth team, you'll shape how the world's most sophisticated organizations understand and adopt Claude. You'll work across product, marketing, and sales to design content experiences for enterprise decision-makers in finance, sales operations, and life sciences—industries where precision, trust, and compliance aren't negotiable.

This role sits at the intersection of strategy and craft. You'll translate Claude's capabilities into value propositions that land differently for a CFO evaluating AI for financial analysis than for a pharma researcher assessing tools for literature review. You'll build the content foundations—voice, positioning, educational materials—that help enterprises trust AI in high-stakes contexts. And you'll execute across the full journey: thought leadership, sales enablement, product onboarding, and customer success.

You'll also use Claude as a core part of how you work—writing, thinking, prototyping—and bring what you learn back into the content you create for customers.

Responsibilities:

Own content strategy for enterprise growth across finance, healthcare, and life sciences—shaping how regulated industries understand Claude's unique value proposition around capability, safety, and trust

Use Claude extensively in your own work: writing, ideating, testing, and refining. Model the AI fluency we want to help enterprise customers build, and bring those insights back into the content you create

Design whole content experiences. Prototype in Figma, collaborate closely with engineering, and be comfortable enough with code to understand how your content surfaces in the product

Develop prompts, interaction patterns, and educational content that help enterprise users get value from Claude quickly—teaching people to think with AI, not just use it

Add to our scalable content systems—agents, frameworks, tools—that maintain quality at velocity without becoming bottlenecks

Design onboarding experiences and best practice guides that accelerate time-to-value

Shape product experiences that feel native to enterprise contexts, collaborating cross-functionally to ensure terminology, flows, and interactions land with sophisticated buyers

What we're looking for:

6+ years in content design, UX writing, or content strategy, with at least 3 years focused on B2B or enterprise products

Genuine curiosity about AI and how it changes your craft. You use Claude (or other LLMs) in your actual work as a thinking partner. You have opinions about what outputs are good enough, where it falls short, and how to bridge that gap

Comfort with code. You don't need to be an engineer, but you can read a codebase, ship small changes, and collaborate fluently with developers

Strong prototyping instincts and fluency in Figma. You think in interactions

Experience developing content for complex technical products and sophisticated buyers—fintech, dev tools, healthcare, or similar

Understanding of enterprise buying journeys and the ability to craft content that works for end users, practitioners, and executives simultaneously

Portfolio that shows strategic thinking, clear writing for technical audiences, and content that moved business metrics

Track record of building from scratch. You've created content systems, not just inherited them. You're energized by ambiguity, not paralyzed by it

Strong candidates may also have:

Experience in regulated industries or with compliance-sensitive content

Background in sales enablement or solutions marketing

History of conducting user research and customer interviews to shape content strategy

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:$260,000—$305,000 USDLogistics

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. 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