The Infrastructure Tax Lead at Anthropic will manage tax compliance and incentives for AI infrastructure, supporting the company's AI safety mission.
$300K - $370K / year
672 active roles found
A weekly digest of AI safety, governance, policy and responsible AI roles.
By subscribing, you agree to receive the AI Safety Careers newsletter. We use MailerLite to send emails and may track opens and clicks to improve the newsletter. You can unsubscribe at any time. See our Privacy Policy.
672 active roles found
The Infrastructure Tax Lead at Anthropic will manage tax compliance and incentives for AI infrastructure, supporting the company's AI safety mission.
The Incident Response Manager at Anthropic will oversee the enforcement of policies and manage incident responses to ensure platform safety and compliance.
The Head of ANZ, Applied AI at Anthropic will lead the adoption of AI solutions in Australia and New Zealand, focusing on safety, compliance, and beneficial AI deployment.
Get the best AI safety, governance, policy and responsible AI roles in your inbox.
By subscribing, you agree to receive the AI Safety Careers newsletter. We use MailerLite to send emails and may track opens and clicks to improve the newsletter. You can unsubscribe at any time. See our Privacy Policy.
Lead the Applied AI Architects team to ensure responsible deployment of AI systems in various sectors, focusing on safety and societal impact.
The role involves building platforms and tools for reinforcement learning, focusing on data collection, training observability, and ensuring the safety and reliability of AI systems.
The Research Manager for Interpretability at Anthropic will lead a team focused on understanding the internal workings of large language models, emphasizing mechanistic interpretability as a means to enhance AI safety.
The Enterprise Account Executive will drive the adoption of safe AI technology in Japan's government and Telecommunications sectors, focusing on compliance and security in AI solutions.
The role involves driving the adoption of safe AI systems across federal civilian agencies, focusing on compliance and ethical AI development.
The role involves driving the adoption of safe AI systems in federal civilian agencies, focusing on compliance and ethical AI development.
The Engineering Manager, Inference at Anthropic will lead efforts to improve model performance and ensure the safe development of AI systems.
The Engineering Manager, GRC at Anthropic will lead the development of automated workflows and systems for governance, risk, and compliance, focusing on integrating AI capabilities to enhance compliance processes.
The Engineering Manager will lead efforts to improve model performance and ensure the safe development of AI systems at Anthropic.
The Engineering Manager will lead the Agent Prompts & Evals team, focusing on the evaluation and safety of AI model behavior, ensuring reliable and interpretable AI systems.
The Commercial Counsel, GTM role at Anthropic focuses on supporting Go-to-Market teams with legal guidance on commercial agreements, while also engaging in AI safety and governance initiatives.
The Commercial Counsel will provide legal support for AI-related transactions and ensure compliance with regulations affecting AI deployment in the EMEA region.
The Commercial Counsel will provide legal support for AI-related transactions and ensure compliance with regulations affecting AI deployment in the EMEA region.
The Biological Safety Research Scientist at Anthropic will design and develop safety systems for AI, focusing on preventing misuse and ensuring responsible AI safety in the biological domain.
The Applied AI Architect role focuses on guiding enterprise customers in integrating AI systems safely and effectively, ensuring alignment with business objectives and technical implementation.
The Applied AI Architect role at Anthropic focuses on integrating AI solutions into government technology, emphasizing safety, reliability, and compliance.
The Applied AI Architect role focuses on guiding enterprise customers in integrating AI systems safely and effectively, ensuring alignment with business objectives and high standards for safety.