Enterprise Customer Success Manager, Higher Education

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 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 an Enterprise Customer Success Manager at Anthropic, you will be a strategic partner to our enterprise customers, helping them harness the transformative potential of our LLM technology via Claude.ai to achieve their business objectives. You'll work with strategic customers by providing best practices guidance while driving adoption and optimization of Anthropic's solutions. Your role focuses on helping customers scale their usage effectively, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.

Responsibilities:

• Build and maintain strategic relationships with key customer decision makers while serving as the primary point of contact between the customer and Anthropic
• Drive adoption and expansion through value-based consulting, developing account plans that align with customers' business objectives and identify new growth opportunities
• Lead change management initiatives and create enablement programs to showcase new use cases and capabilities that build upon existing implementations
• Monitor usage patterns and conduct regular business reviews to track success metrics, provide optimization recommendations, and pursue expansion opportunities
• Partner cross-functionally with Enterprise Account Executives and other internal teams to ensure customer success and drive growth
• Act as the voice of the customer to Product and Engineering teams, translating customer needs into actionable product feedback

You may be a good fit if you:

• 5+ years of experience in enterprise customer-facing roles (Customer Success, Account Management, or similar)
• Track record of driving adoption and expansion in SaaS enterprise environments
• Proven ability to translate technical concepts for various audiences, from end users to executives
• Understanding of AI technologies, with ability to guide customers on implementation best practices
• Strong project management skills with experience leading change management initiatives
• Experience building and executing strategic account plans and executive business reviews
• Passion for AI and interest in responsible development of advanced systems

The expected salary range for this position is:

Annual Salary:$200,000—$240,000 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