Norm Ai embeds law into AI agents, powering critical legal and compliance workflows, and governing AI agents operating in regulated environments. Backed by Khosla.
About the role
Build defensive automation: Design, build, and improve AI-driven security tooling, with the testing, safeguards, and human oversight you’d expect of production systems. Threat-model: Assess new and existing systems for risk, and use those models to decide where detection and remediation effort goes. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of experience in application security and cloud security fundamentals
- Strong software engineering skills, with production code in at least one modern language (ideally Python)
- Hands-on experience building with LLMs or AI agents
- Experience running threat models
- Calm, structured judgment during incidents
More about this role
About Norm
Norm builds AI-native professional services firms and the technology that powers them. Our mission is to help expert professionals deliver better work at greater scale.
Developing the technology and the firms together lets us rethink how work gets done, how teams operate and what clients can expect. Professional judgment and experience guide what we build, while advances in the technology expand what our firms can deliver. Our shared agentic platform connects that progress across teams and services.
Founded in 2023, Norm brings together experts across engineering, research, product, design and professional practice. Our legal and compliance platform serves institutions representing more than $35 trillion in combined assets under management.
Norm also powers Norm Law, LLP, an affiliated AI-native law firm whose attorneys advise leading institutions on complex corporate matters.
Norm prefers all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.
Candidates...
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