Drive adoption of safe AI by optimizing lead management processes, analyzing lead data, and collaborating with sales teams for effective pipeline management.

The Product Support Specialist at Anthropic will manage user support cases, effectively communicate with users, and collaborate to resolve issues, ensuring a great overall experience with the company’s AI products.

Lead Anthropic's Developer Relations by strategizing developer onboarding and success, fostering a developer community, and aligning product initiatives to meet developer needs.

Spearhead educational content development for AI, creating tutorials and demos to empower developers learning about Claude's capabilities, while collaborating across teams to refine and adapt materials.

Lead and execute Anthropic's international expansion initiatives by coordinating cross-functional teams, maintaining project timelines, and implementing scalable operational processes. Ensure market entry success by tracking progress, resolving blockers, and communicating effectively with diverse stakeholders.

The Research Engineer will develop data processing infrastructure for large language models, focusing on scalability and system reliability while collaborating with research teams.

As a Product Support Specialist, you will deliver AI products by addressing user needs, investigating issues, and collaborating with internal teams for solutions.

As a Software Engineer on the Safeguards Research Team, you will develop pipelines and tools to ensure AI systems are deployed safely, focusing on scalable infrastructure for evaluating model behaviors, automating safety assessments, and efficient data processing.

Join Anthropic's Reward Modeling team to implement novel architectures, optimize training and data pipelines, and collaborate on AI alignment research.

The Infrastructure & Runtime Engineer will build and maintain systems supporting AI research, focusing on data pipelines, execution environments, and performance optimization, collaborating with researchers to enhance AI methodologies.

As a Research Engineer, you'll advance AI capabilities by developing systems for reinforcement learning, improving reasoning abilities, and collaborating on innovative methodologies for machine learning research.

Collaborate with various teams to optimize compute capacity planning and allocation, ensuring accurate forecasting and enhancing customer experience.

As a Software Engineer on the Account Abuse team, you'll develop systems to prevent resource misuse and collaborate across teams to maintain safety and fairness in AI operations.

Lead the development of the Human Feedback Interface by collaborating with researchers, mentoring engineers, and implementing scalable systems for data collection and model refinement.

As a Senior Revenue Operations Analyst, you'll support operational excellence by developing reporting frameworks and providing analytics for strategic decision-making, collaborating across teams to enhance organizational efficiency.

Drive adoption of AI in higher education by securing strategic deals, managing complex sales cycles, and collaborating with academic stakeholders.

Conduct empirical research on AI's societal effects, develop measurement tools, collaborate across teams, and communicate findings to inform product and policy.

Lead and coach software engineers in developing AI platforms, collaborate with product teams, and improve product capabilities while fostering team growth.

Lead the product infrastructure team, focusing on building scalable services and managing core infrastructure, while collaborating with product and platform teams.

The role involves building and maintaining critical systems for AI inference, optimizing resource efficiency, scaling systems, and deploying new capabilities in a collaborative environment.