Customer Success Manager, Higher Education

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Beneficial Deployments team builds AI for good through partnerships with high-impact organizations across education, public health, life sciences, economic mobility, and more.

Join Anthropic as a Customer Success Manager supporting our Higher Education initiatives. In this role you will apply customer success practices to universities and other higher education institutions, acting as a strategic partner and trusted advisor to help them harness Claude’s capabilities (API, Claude for Enterprise, and Claude Code) to amplify social impact. You will develop deep partnerships with institutions, understand their missions and technical capacity, and drive safe, effective AI adoption across teaching, research, and administration.

Responsibilities

• Build and maintain strategic relationships with key university decision-makers and serve as the primary point of contact between universities and Anthropic across faculty, administrators, IT departments, and procurement.
• Become an expert in Anthropic products (API, Claude for Enterprise, Claude Code), understanding technical nuances and best practices to guide customers to the right solutions.
• Monitor usage patterns and proactively drive adoption—identify optimization opportunities, address underutilization across consumption-based (API) and seat-based products, and discover new departmental applications.
• Develop and execute change management strategies appropriate for universities, including Train the Trainer programs, Center of Excellence development, and organizational enablement that respect institutional constraints.
• Create and maintain enablement resources and scalable assets to drive efficiency across the partner portfolio.
• Serve as the customer’s thought partner: socialize product roadmap, drive awareness of new products, and engage Product PMs.
• Design and run 1:many engagement programs (webinars, cohorts, peer networking) and thought leadership initiatives that extend impact beyond individual partners.
• Design initiatives and showcase impactful use cases for teaching, learning, and research to help institutions embed and deploy AI.

Requirements

• 5+ years of experience in higher education technology, preferably in SaaS or emerging technologies, with a strong background in Customer Success.
• Demonstrated ability to navigate academic bureaucracies and build consensus among diverse stakeholders (faculty, administrators, IT).
• Deep understanding of higher education buying cycles, decision-making processes, and common pain points, with a track record of driving adoption across institutions.
• Excellent communication skills and the ability to translate technical concepts for diverse audiences, from faculty to senior administration.
• Technical fluency to understand and articulate AI/ML concepts, API integrations, and software implementation patterns; experience explaining and demonstrating technical products.
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans.
• Strong cross-functional collaboration skills and the ability to advocate for customer needs.
• Passion for AI and social impact, with interest in ensuring frontier AI systems are developed and deployed safely and ethically.
• Bachelor’s degree or equivalent combination of education/training/experience.

Compensation

• Annual Salary: $200,000 - $260,000 USD

Logistics & Policy

• Locations: San Francisco, CA and New York City, NY (U.S.).
• Location-based hybrid policy: staff expected to be in one of our offices at least 25% of the time.
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist when offers are made.

Benefits

• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.

How we work

• Anthropic emphasizes collaborative, high-impact AI research and values communication. The team works on a small set of large-scale research efforts and hosts frequent research discussions.