Own and manage Anthropic's highest-risk and mission-critical third-party vendor portfolios within Security GRC. Conduct risk assessments, drive remediation and treatment plans, tune an LLM-based risk agent, and ensure business continuity for critical compute and data vendors.
Lead Anthropic's Frontier Red Team (Cyber) to develop defensive cybersecurity strategies and research using frontier AI models like Claude. Hire and direct a world-class team on high-impact projects including autonomous vuln finding/patching, purple-team AI simulations, and policy demonstrations while shaping company-wide AI security decisions.
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.
Safeguards Enforcement Analyst focused on account takeover and credential abuse. Investigate compromise incidents, design remediation workflows, partner with engineering on detection, enforce AI usage policies, and develop scalable enforcement programs for platform safety.
Red Team Engineer on Anthropic's Safeguards team performing adversarial testing and full kill-chain attacks on AI products to uncover vulnerabilities, jailbreaks, and novel abuse vectors before malicious exploitation. Requires strong pen-testing, red teaming, and LLM-specific security experience.
Audit and secure low-level platform components including firmware, secure boot chains, attestation systems, and hardware roots of trust for Anthropic's AI infrastructure. Requires deep expertise in systems security, vulnerability assessment, and ownership of fixes through production.
Staff Application Security Engineer focused on M&A due diligence and secure integration of acquired codebases and systems at Anthropic. Lead security assessments, risk readouts, post-close remediation and automation using Claude, while contributing to core AppSec work. Requires 7+ years AppSec experience, rapid codebase assessment skills, and coding ability.
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.
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.
Hardens and secures the OS layer for Anthropic's AI infrastructure, designing kernel-level protections, runtime enforcement, attestation, and isolation for large-scale model training environments. Requires deep Linux kernel expertise, C/systems programming, and OS security experience.
Senior security engineer building and maintaining identity, secrets, and cloud security systems for AI infrastructure. Requires 5+ years experience, strong Python/Go/Rust skills, and cloud security expertise.
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.
Lead detection and response engineering efforts, building tooling and processes to monitor threats, investigate incidents, and coordinate responses across Anthropic's technology stack. Requires 5+ years in detection engineering, incident response, or threat hunting.
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.
Build the GRC platform at Anthropic by designing data pipelines, integrations, and agentic LLM workflows that automate compliance evidence collection, policy-as-code, and real-time risk reporting across cloud, identity, HR, and CI/CD systems.
Lead security controls assurance for AI systems, defining control frameworks and requirements for autonomous AI operators while collaborating with engineering to validate implementations against compliance standards.
Lead complex security risk initiatives end-to-end, building AI-native risk quantification and automation platforms. Requires 8+ years in software or security engineering with deep expertise across security domains and strong programming skills.
Designs and implements privacy-preserving architectures for AI systems, builds privacy infrastructure, and leads threat modeling to protect user data at scale. Requires deep privacy engineering expertise, production systems experience in Python/Go, and familiarity with regulations like GDPR/CCPA.
Build systems to detect and prevent account abuse by analyzing signals at scale, integrating vendor data, and creating monitoring tools. Requires 3+ years experience in software engineering focused on fraud/abuse, proficiency in Python/SQL.
Four-month fellowship for researchers and engineers to conduct empirical AI security research, producing public outputs like papers. Requires strong technical background, Python fluency, and interest in AI safety; open to remote in US/UK/Canada.
Designs and builds complex security systems for AI infrastructure, focusing on identity management, developer security, cloud controls, and cryptographic frameworks. Requires 8+ years experience, strong Python/systems programming, and Kubernetes security expertise.
Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.
Builds and scales security analytics infrastructure, including data pipelines for telemetry processing and ML-powered detection systems using Claude. Requires 7+ years in software engineering focused on security, infrastructure, and data pipelines.
Investigates and disrupts misuse of AI systems for cyber threats like malware and influence operations. Develops detection techniques and intelligence reports, requiring proficiency in SQL, Python, and threat intelligence frameworks.
Build AI-powered cybersecurity products by prototyping ideas, collaborating with research teams on model capabilities, and engaging customers to shape product direction. Requires 7+ years software engineering experience, cybersecurity background, and strong product instincts.
Research Engineer on Cybersecurity RL team advances AI models in secure coding, vulnerability remediation, and defensive cybersecurity using RL techniques. Requires cybersecurity expertise, ML experience, and strong engineering skills.
Develop tools and frameworks to counter AI-enabled cyber threats, design experiments evaluating autonomous AI cyber capabilities, and translate findings into policy-informing demonstrations. Requires deep cybersecurity expertise, Python skills, and experience with LLM agents.
Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.
Partners with engineers to embed security in AI product development through threat modeling, secure reviews, tooling, and vulnerability management. Requires 5+ years experience, programming proficiency, and offensive security mindset.
Own and manage Anthropic's highest-risk and mission-critical third-party vendor portfolios within Security GRC. Conduct risk assessments, drive remediation and treatment plans, tune an LLM-based risk agent, and ensure business continuity for critical compute and data vendors.
Lead Anthropic's Frontier Red Team (Cyber) to develop defensive cybersecurity strategies and research using frontier AI models like Claude. Hire and direct a world-class team on high-impact projects including autonomous vuln finding/patching, purple-team AI simulations, and policy demonstrations while shaping company-wide AI security decisions.
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.
Safeguards Enforcement Analyst focused on account takeover and credential abuse. Investigate compromise incidents, design remediation workflows, partner with engineering on detection, enforce AI usage policies, and develop scalable enforcement programs for platform safety.
Red Team Engineer on Anthropic's Safeguards team performing adversarial testing and full kill-chain attacks on AI products to uncover vulnerabilities, jailbreaks, and novel abuse vectors before malicious exploitation. Requires strong pen-testing, red teaming, and LLM-specific security experience.
Audit and secure low-level platform components including firmware, secure boot chains, attestation systems, and hardware roots of trust for Anthropic's AI infrastructure. Requires deep expertise in systems security, vulnerability assessment, and ownership of fixes through production.
Staff Application Security Engineer focused on M&A due diligence and secure integration of acquired codebases and systems at Anthropic. Lead security assessments, risk readouts, post-close remediation and automation using Claude, while contributing to core AppSec work. Requires 7+ years AppSec experience, rapid codebase assessment skills, and coding ability.
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.
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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.
Hardens and secures the OS layer for Anthropic's AI infrastructure, designing kernel-level protections, runtime enforcement, attestation, and isolation for large-scale model training environments. Requires deep Linux kernel expertise, C/systems programming, and OS security experience.
Senior security engineer building and maintaining identity, secrets, and cloud security systems for AI infrastructure. Requires 5+ years experience, strong Python/Go/Rust skills, and cloud security expertise.
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.
Lead detection and response engineering efforts, building tooling and processes to monitor threats, investigate incidents, and coordinate responses across Anthropic's technology stack. Requires 5+ years in detection engineering, incident response, or threat hunting.
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.
Build the GRC platform at Anthropic by designing data pipelines, integrations, and agentic LLM workflows that automate compliance evidence collection, policy-as-code, and real-time risk reporting across cloud, identity, HR, and CI/CD systems.
Lead security controls assurance for AI systems, defining control frameworks and requirements for autonomous AI operators while collaborating with engineering to validate implementations against compliance standards.
Lead complex security risk initiatives end-to-end, building AI-native risk quantification and automation platforms. Requires 8+ years in software or security engineering with deep expertise across security domains and strong programming skills.
Designs and implements privacy-preserving architectures for AI systems, builds privacy infrastructure, and leads threat modeling to protect user data at scale. Requires deep privacy engineering expertise, production systems experience in Python/Go, and familiarity with regulations like GDPR/CCPA.
Build systems to detect and prevent account abuse by analyzing signals at scale, integrating vendor data, and creating monitoring tools. Requires 3+ years experience in software engineering focused on fraud/abuse, proficiency in Python/SQL.
Four-month fellowship for researchers and engineers to conduct empirical AI security research, producing public outputs like papers. Requires strong technical background, Python fluency, and interest in AI safety; open to remote in US/UK/Canada.
Designs and builds complex security systems for AI infrastructure, focusing on identity management, developer security, cloud controls, and cryptographic frameworks. Requires 8+ years experience, strong Python/systems programming, and Kubernetes security expertise.
Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.
Builds and scales security analytics infrastructure, including data pipelines for telemetry processing and ML-powered detection systems using Claude. Requires 7+ years in software engineering focused on security, infrastructure, and data pipelines.
Investigates and disrupts misuse of AI systems for cyber threats like malware and influence operations. Develops detection techniques and intelligence reports, requiring proficiency in SQL, Python, and threat intelligence frameworks.
Build AI-powered cybersecurity products by prototyping ideas, collaborating with research teams on model capabilities, and engaging customers to shape product direction. Requires 7+ years software engineering experience, cybersecurity background, and strong product instincts.
Research Engineer on Cybersecurity RL team advances AI models in secure coding, vulnerability remediation, and defensive cybersecurity using RL techniques. Requires cybersecurity expertise, ML experience, and strong engineering skills.
Develop tools and frameworks to counter AI-enabled cyber threats, design experiments evaluating autonomous AI cyber capabilities, and translate findings into policy-informing demonstrations. Requires deep cybersecurity expertise, Python skills, and experience with LLM agents.
Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.
Partners with engineers to embed security in AI product development through threat modeling, secure reviews, tooling, and vulnerability management. Requires 5+ years experience, programming proficiency, and offensive security mindset.