The Engineering Manager for Enterprise at Anthropic will lead a team to build systems that ensure compliance and readiness for enterprise deployment of AI, focusing on security and regulatory requirements.
$405K-$485K / year
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198 active roles found for Anthropic
The Engineering Manager for Enterprise at Anthropic will lead a team to build systems that ensure compliance and readiness for enterprise deployment of AI, focusing on security and regulatory requirements.
The Research Engineer for Code RL will advance AI models' coding capabilities, ensuring safety and effectiveness through collaboration with alignment and red teams, focusing on responsible AI development.
The Product Manager for the Safeguards team will lead the development of safety systems and tools to mitigate risks associated with powerful AI models, ensuring safe deployment and user protection.
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The Product Manager for Enterprise will focus on developing security and compliance features for AI systems, ensuring they meet enterprise requirements and regulatory standards.
The Policy Communications Manager will drive external communications for Anthropic's security, governance, and responsible scaling programs, focusing on how the company develops secure AI systems and communicates its governance structures.
The Engineering Manager will lead the Review Tooling team responsible for building systems to investigate potential harms and enforce safety measures across AI products.
The Engineering Manager for Cloud Safety will lead a team focused on ensuring the safe deployment and operation of AI systems, particularly in the context of cloud services, emphasizing safety evaluations and responsible AI development.
The Applied AI Security Architect will serve as a security expert for enterprise customers, focusing on compliance with European regulations and addressing security concerns related to AI deployment.
The role involves building evaluation infrastructure for AI safety systems, focusing on detecting misuse and ensuring the reliability of automated abuse detection.
The role involves building a platform for governance, risk, and compliance (GRC) at Anthropic, focusing on automating compliance processes and integrating various systems for effective risk management.
The role involves managing and engineering security risks related to AI systems, focusing on risk assessment, quantification, and building AI-native risk tooling.
The role involves defining control requirements and acceptance criteria for compliance obligations related to AI systems, ensuring that AI operations meet regulatory standards and governance requirements.
The Policy Counsel role involves supporting public policy and legal initiatives related to AI technology and regulation, focusing on developing governance frameworks and navigating emerging policy challenges.
The Policy Counsel role involves supporting public policy and legal initiatives related to AI technology and regulation, focusing on developing governance frameworks and navigating emerging policy challenges.
Lead the Commercial Applied AI Architect team to drive the adoption of frontier AI while ensuring the deployment of safe and reliable AI systems across commercial accounts in Europe.
The Engineering Manager will lead the Safeguards Data Infrastructure team, focusing on building privacy-preserving data interfaces and ensuring compliance with data regulations, including HIPAA.
The Engineering Manager will lead the Privacy Engineering team, focusing on building privacy infrastructure and ensuring compliance with regulations like GDPR and the EU AI Act, while addressing privacy challenges in AI systems.
The role involves managing model launches and building evaluations to measure AI model performance, directly connecting to AI safety and alignment through the development of agentic evaluations.
The role involves serving as a technical advisor to public sector customers, focusing on AI compliance and risk management while integrating AI systems into government operations.
The Data Operations Manager will build and scale data operations for research teams focused on frontier AI capabilities, ensuring high-quality data for model performance and safety alignment.