Brand Marketing Lead, Enterprise

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.

We are seeking a Brand Marketing Lead, Enterprise to build and lead brand marketing for Anthropic's enterprise business. In this role, you'll define how Claude shows up for the CIOs, CTOs, CISOs, developers, and IT and line-of-business leaders making platform decisions at the world's largest organizations — and translate Anthropic's research and safety work into a commercial narrative that helps win those decisions.

You'll partner tightly with product marketing, enterprise marketing, sales, and creative teams to develop positioning, messaging, and campaigns that establish Claude as the enterprise AI platform of choice. The role combines long-term brand building with direct commercial impact.

The ideal candidate is a strategic thinker who is equally at home analyzing a pipeline dashboard and briefing a creative agency. You've built or repositioned B2B brands in crowded, fast-moving markets, you have strong instincts for what breaks through with technical and executive buyers, and you're energized by building a function from the ground up in a rapidly evolving category.

• →Develop and execute Claude's enterprise brand strategy, positioning, and messaging architecture across the full enterprise buying committee
• →Translate Claude's technical and research differentiation into business-value narratives tailored for technical, economic, and executive buyers
• →Partner with product marketing, demand generation, and growth marketing teams to ensure brand programs directly influence funnel engagement. 
• →Lead distinctive, category-defining campaigns — briefing and championing bold creative work with internal and agency partners and protecting it through stakeholder review
• →Build measurement frameworks that prove brand's contribution to commercial outcomes, from awareness and preference shifts to sales cycle impact
• →Provide brand air cover for the revenue org during competitive deals, market moments, and target-account programs
• →Build key brand tools that allow enterprise marketers to move fast supporting the field, partner, and customer marketing teams. Ensure there is capacity available to support their program needs. 
• →Ensure enterprise brand metrics are being developed and measured on a regular basis and are used to inform enterprise marketing work

• B2B brand marketing experience at companies selling complex technology platforms to enterprise buyers
• Demonstrated track record of building or repositioning business brands to establish category leadership in fast-moving, competitive markets
• Experience partnering with product marketing, enterprise marketing, and sales to build programs that measurably influence pipeline and win rates
• Strong creative judgment and experience briefing and partnering with creative teams to deliver distinctive campaign work
• Experience establishing measurement frameworks that prove brand's contribution to commercial outcomes

• 12+ years of B2B brand marketing experience, with significant time at enterprise technology companies
• Experience building and scaling a brand function from scratch or through a period of rapid growth
• Background marketing AI, developer platforms, cloud infrastructure, or other technical enterprise products
• Experience repositioning against dominant incumbents or displacing entrenched competitors in enterprise accounts
• Familiarity with the AI safety landscape and the importance of responsible AI development
• Experience developing global enterprise marketing strategies
• A passionate interest in AI and its potential to positively impact society

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! 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.

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.

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.