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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Owns billing, monetization, and industry-specific API strategies for Anthropic’s Claude Platform, defining commercial terms and partner programs to expand AI access beyond software.
Front End Engineer on Anthropic's Brand Web team, building and maintaining web properties (interactive pages, data visualizations, internal tools) using Next.js/React, design systems, and headless CMS.
Manages and executes a defined slice of Anthropic’s Global Safety, Intelligence & Security program, maintaining policies, reporting metrics, and supporting cross-functional security projects under close direction.
Build and maintain AI-powered coding tools for developers, integrating LLMs, tool-use, and orchestration patterns across full-stack environments like React UIs and VS Code plugins.
Build and nurture Anthropic’s AI developer community by creating technical content, demos, and events that help developers adopt Claude-powered tools while gathering feedback to shape product development.
Research and prototype AI-driven cybersecurity capabilities, design rigorous evaluations, and turn findings into usable security products for non-experts.
Build privacy-preserving AI systems at scale, designing architectures with techniques like differential privacy and secure multi-party computation while embedding GDPR/CCPA compliance into Claude’s training and inference pipelines.
Owns the end-to-end hardware program for AI accelerator systems, coordinating ODMs, silicon teams, and datacenter ops to turn custom boards and racks into fleet-ready platforms.
Owns programs that accelerate RL research for AI models like Claude, coordinating experiments, reviews, and infrastructure to drive safe, scalable AI development.
Own the end-to-end silicon program for Anthropic’s custom hardware powering Claude, coordinating ASIC design, foundry, and post-silicon bring-up while building lightweight execution systems.
Build and operate the data platform powering AI safety systems, including pipelines, warehouses, and governance controls across AWS, GCP, and Azure to monitor models and prevent misuse.
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