Customer Success Manager, Public Sector (National Security) (AI)

Location: Washington, DC / National Capital Region; onsite at customer facilities 3–4 days per week. Staff are expected to work from an Anthropic office at least 25% of the time, with some roles requiring more office attendance.

Annual compensation: $265,000–$350,000 USD OTE range, including base salary and target sales compensation.

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Partner with account executives and Applied AI architects to translate national security missions into customer success and technical implementation plans.
• Guide customers through deployment, enablement, model migration, renewal, and expansion of Claude Code, the Claude API, and Claude for Government on classified infrastructure.
• Coordinate with AI leadership, platform and compute teams, security and accreditation officials, mission operators, cleared cloud providers, and system integrators.
• Build enablement programs, Train-the-Trainer materials, Centers of Excellence, executive content, and change-management approaches for cleared workforces.
• Measure adoption and mission value using capacity reports, customer dashboards, workload registries, evaluation gates, and leading indicators when direct telemetry is unavailable.
• Lead Executive Business Reviews, identify mission-transformation workflows, and communicate customer insights to Product, Engineering, Research, and Policy teams while maintaining classified/unclassified separation.

Requirements

• U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph are required. A TS/SCI with CI polygraph may be considered where crossover is supportable.
• Prior experience with U.S. national security defense or intelligence agencies is required.
• 5+ years in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant.
• Experience working with consumption-based products, adoption measurement, stakeholder management, and complex technical environments.
• Technical fluency in AI/ML concepts, API integrations, LLM frameworks, evaluation approaches, and agentic tooling such as Claude Code.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

• Hands-on experience building with an LLM API or coding agent.
• Knowledge of FedRAMP High, IL5/IL6, classified-fabric accreditation, cleared cloud providers, and system integrators.
• Experience with managed configuration, capacity planning, workload onboarding, and model migration on constrained infrastructure.

Culture & Benefits

• Collaborative work across Sales, Applied AI, Product, Engineering, Research, Policy, and Security.
• Focus on safe, beneficial, steerable, and trustworthy AI systems.
• Competitive compensation, benefits, optional equity donation matching, generous vacation, and parental leave.
• Flexible working hours and access to office-based collaboration.
• Visa sponsorship may be available, with immigration-lawyer support, depending on the role and candidate.