Enterprise Intelligence Specialist

About the role

The Enterprise Intelligence Specialist is an individual contributor on the Global Safety, Intelligence, and Security (GSIS) team, acting as a hands‑on investigator and analyst who assesses employee‑ and enterprise‑level threats, produces intelligence assessments, supports crisis management, and informs decisions about operations, travel and growth worldwide.

About the company

Anthropic is a public benefit corporation focused on building reliable, interpretable and steerable AI systems that are safe and beneficial for users and society. Headquartered in San Francisco, the rapidly growing company brings together researchers, engineers, policy experts and business leaders to advance large‑scale AI research.

Requirements

• 7+ years of professional experience in intelligence, security risk analysis, threat assessment or a related discipline
• Demonstrated experience investigating threats and producing finished all‑source intelligence in a corporate, government, military or global security environment
• Bachelor’s degree in security studies, international relations, political science, intelligence, psychology, criminology or a related field
• Hands‑on investigator role with no people‑management responsibilities
• Strong analytical skills with ability to translate complex threat information into clear, actionable guidance
• Proven ability to brief senior stakeholders and influence decision‑making; excellent written and verbal communication
• Ability to manage multiple concurrent taskings under tight deadlines with limited supervision
• Comfortable with a flexible schedule, including periodic after‑hours availability during crises
• Master’s degree in intelligence studies, international affairs, security studies, public policy or related field (preferred)
• CTM certification (preferred)
• Experience supporting global operations, international travel risk or crisis management programs (preferred)
• Familiarity with intelligence tools, OSINT and threat monitoring platforms, and structured analytic frameworks (preferred)
• Prior experience in highly regulated or high‑risk industries such as technology, critical infrastructure, life sciences or finance (preferred)
• Background in high‑growth technology companies or startups with specialized knowledge of AI‑sector risks (preferred)