This role asks for someone to own product security end to end at an AI company serving law firms. A strong candidate has hands on cloud security experience, especially AWS, and has led incident response. They also need to threat model AI agents and build automated systems that find and fix vulnerabilities.
How it fits the AI era
AI changes the work by making security testing and patching more automated, with agents running continuous checks. The human part stays in judging which risks matter to customers and explaining them clearly. This role sits at the point where AI both creates new risks and offers new tools to manage them.
How it builds AI experience
The job offers direct work securing an AI agent that reads legal documents and runs code, including defences against prompt injection. A candidate can build this experience by studying LLM agent risks and practising threat modelling. Understanding how agents call tools and handle untrusted input is central here.
Worth showing
- AWS security hands on
- Incident response leadership
- Vulnerability management automation
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Orbital
Orbital develops artificial intelligence software that automates commercial real estate legal diligence, lease analysis, and property boundary visualization.
Product Security Engineer employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
