Staff+ Software Engineer, Cybersecurity Products

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.

We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production.

This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue.

The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more.

• Build and ship user-facing and/or backend features for Claude Security
• Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products
• Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build
• Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis
• Collaborate with research teams to identify and develop new model capabilities for security applications

• Contribute across the stack, from front-end UI to back-end infrastructure
• Are proficient in Type Script, Python, and/or Go and have experience building distributed systems
• Enjoy fast iteration and are energized by prototyping new ideas
• Are comfortable working closely with research and go-to-market teams
• Have strong communication skills and can work effectively across functions
• Have 7+ years of experience as a software engineer

• Experience building client-side terminal applications
• Experience developing cybersecurity products
• Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields
• Experience building skills, plugins, or hooks in Claude Code or similar tools
• Experience building with Claude Managed Agents or similar frameworks

Annual Salary: $405,000 — $485,000 USD

Minimum education: Bachelor’s degree or an 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: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

We're an extremely…