Skip to content
AnthropicAnthropicSan Francisco, CA

Threat Intel Manager, CBRN-E & Advanced Weapons

Lead and build Anthropic's CBRN-E & Advanced Weapons threat intelligence team. Investigate and disrupt AI misuse for chemical, biological, radiological, nuclear, explosives, and novel weapons development; manage investigators, engage government partners, and inform AI safety strategies. Requires deep biosecurity/weapons expertise, team leadership, and LLM knowledge.

375k – 455k
Hybrid7+ YOESecurity Engineering

About the role

Key Responsibilities

  • Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program.
  • Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas.
  • Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities.
  • Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers.
  • Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs.
  • Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle.
  • Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations.
  • Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes.
  • Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings.

Minimum Qualifications

  • Intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains.
  • Led investigative or analytic teams; senior domain expert with demonstrated mentorship and program-building experience.
  • Experience with threat actor profiling, threat intelligence analysis frameworks, and collection frameworks.
  • Hands-on experience with large language models and how AI could be misused for CBRN-E threats.
  • Excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners.
  • Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership.

Preferred Qualifications

  • Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field.
  • Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations.
  • Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis.
  • Background in AI safety, machine learning security, or technology abuse investigation.
  • Experience building and scaling threat detection systems or abuse monitoring programs.
  • Active Top Secret security clearance.

Compensation & Logistics

  • Annual compensation range: $375,000–$455,000 USD (total compensation).
  • Minimum education: Bachelor’s degree or equivalent.
  • Location-based hybrid policy: Expect staff in one of our offices at least 25% of the time.
  • May require responding to escalations during weekends and holidays.
  • May involve exposure to explicit content of a sexual, violent, or psychologically disturbing nature.

Skills

Threat IntelligenceBiosecurityCbrn-EWeapons Non-ProliferationDual-Use Research Of ConcernThreat Actor ProfilingLLMsStakeholder ManagementGovernment EngagementCounterproliferationAi SafetyMachine Learning Security
Anthropic

Threat Intel Manager, Model Exploitation & Fraud

AnthropicSan Francisco, CA

Lead the Model Exploitation & Fraud team in Threat Intelligence at Anthropic. Set strategy, hire and manage technical investigators, direct complex investigations into AI model distillation, account abuse, and fraud networks, and engage with U.S. government partners. Requires management experience with senior ICs, domain expertise in scaled abuse, and proficiency in SQL/Python.

375k – 455k
Hybrid8+ YOESecurity Engineering
OpenAI

Global Detection and Response Lead

OpenAISan Francisco, CA

Leads global cybersecurity detection and response operations at OpenAI, overseeing monitoring, incident response, and team building. Requires 10+ years in cybersecurity, deep expertise in detection engineering and observability stacks, and US security clearance eligibility.

347k – 490k
On-site10+ YOESecurity Engineering
Anthropic

Software Security Engineering Manager, Secure Frameworks

AnthropicSan Francisco, CA +1

Lead the Secure Frameworks Research team at Anthropic to build high-leverage security libraries and frameworks (cryptographic, serialization, authorization) that prevent vulnerabilities in AI model development. Manage engineers, drive adoption across teams, and balance security rigor with development velocity; requires 5+ years security/software engineering and 3+ years managing security teams.

405k – 485k
Hybrid8+ YOESecurity Engineering
Anthropic

Platform Security Engineering - OpenBMC

AnthropicSan Francisco, CA +2

Founding engineer building and securing OpenBMC firmware for x86/Arm server fleets. Own production firmware, manageability features, and security hardening including secure boot, attestation, and threat modeling.

405k – 405k
Hybrid8+ YOESecurity Engineering
Anthropic

Platform Hardware Security Engineer

AnthropicSan Francisco, CA +2

Design and implement security architectures for bare-metal infrastructure including secure boot chains, attestation systems, and firmware security for AI training hardware. Requires expertise in low-level systems security, cryptographic protocols, and hardware root of trust technologies.

405k – 405k
Hybrid8+ YOESecurity Engineering