Das ist der Job
This role sits at the intersection of research, product, and go‑to‑market.
Darum lohnt es sich
The team includes researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As part of your work, you will prototype new ideas, build from the ground up, collaborate with research teams to develop new model capabilities for security applications, iterate quickly to validate ideas, engage directly with customers and partners to inform product direction, and help determine what to build.
Collaborate with research teams to identify and develop new model capabilities for security applications. Comfortable working closely with research and go‑to‑market teams. Overview Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
About the Role We are seeking engineers to join a new effort building AI‑powered products and capabilities for cybersecurity. Responsibilities Prototype and build new AI‑powered products for cybersecurity. Iterate quickly based on customer feedback and learning.
Engage directly with customers and partners to understand workflows and inform product direction. Qualifications 7+ years of experience as a software engineer. Experience developing cybersecurity products. Enjoy fast iteration and are energized by prototyping new ideas.
Strong product instincts and enjoy defining what to build, not just how to build it. Strong communication skills and can work effectively across functions. Additional Qualifications 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 agentic applications. Compensation Annual Salary: $320,000—$405,000USD. Logistics Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Determined by internal job level requirements. Location-based hybrid policy: We expect staff to be in an office at least 25% of the time; some roles may require more time in offices.
Visa sponsorship: We sponsor visas, but we are not able to sponsor visas for all applicants. #J-18808-Ljbffr
