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Software Engineer, Cybersecurity Products

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC

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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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up. This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Responsibilities Prototype and build new AI-powered products for cybersecurity Iterate quickly based on customer feedback and what you learn Collaborate with research teams to identify and develop new model capabilities for security applications Engage directly with customers and partners to understand workflows and inform product direction You may be a good fit if you: Have 7+ years of experience as a software engineer Experience developing cybersecurity products Enjoy fast iteration and are energized by prototyping new ideas Have strong product instincts and enjoy defining what to build, not just how to build it Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Strong candidates may also have: Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience working with AI/ML models and building products on top of them Experience building

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