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As a Data Scientist, you will drive data-informed decisions at Anthropic by analyzing product usage, conducting causal inference, and collaborating across teams to enhance developer platform performance.

As a Technical Specialist at Anthropic, you'll engage with customers to foster adoption of their AI products, drive workshops, support pilots, and create technical content that enhances the customer experience with Claude Code and Cowork.

The Product Marketing Lead manages the go-to-market strategy for the Claude Platform, leading a team in product launches and sales enablement while collaborating on product development and marketing strategies.

The Engineering Manager for Research Tools will lead a team of experts to optimize systems for AI research, support collaboration with various teams, and drive effective processes for system efficiency and team growth.

The Product Manager will drive enterprise API strategy, engage with developers, and lead product development to enhance multi-cloud integrations at Anthropic.

The Customer Success Programs Manager will lead programmatic customer success initiatives, focusing on AI-powered customer engagement and measure impact through data. Responsibilities include building programs, running live engagements, and collaborating across teams to enhance effectiveness and drive customer outcomes.

As a Technical Cyber Threat Investigator, you will detect and counter misuse of AI systems, develop strategies against cyber threats, and collaborate across teams to improve safety measures.

As a Technical CBRN-E Threat Investigator, you will detect, investigate, and disrupt misuse of AI systems related to CBRN-E threats, analyzing data and developing detection techniques.

Build and own claude.ai's serving and agent execution platform: sandboxed compute for safe code execution, state management for long-running agent tasks, delegated auth, observability for agent actions, and partner with product and research teams to design and ship scalable, secure infrastructure.

The Performance Engineer will analyze system performance, evaluate model outputs, build observability tools, and partner with teams to optimize throughput, latency, and correctness in AI systems.