Ent is the intent-aware AI endpoint — reading human, AI, and app activity in real time to tell normal work from risky action and act at the moment of risk. Backed by Sequoia and Felicis.
About the role
We are seeking an engineer who is passionate about scientific computing, data processing AI systems. This role is focused on solving hard problems in the area of optimization of deployment of heterogeneous set of models (small, medium, LLM), ensuring robustness, long-term maintainability. Innovating around frameworks that enable fast experimentation with large datasets, training/validating models and CI/CDs.
More about this role
Ent is the intent-aware workspace security platform for securing human and AI-driven work. Built to protect productivity, the new attack surface, Ent understands not just what users and agents do but why, and intervenes at the moment of risk before incidents occur. Where existing tools see events, Ent sees intent, so security teams can step in at the moment of risk instead of investigating days later. Founded by Lou Manousos and Brandon Dixon, co-founders of RiskIQ (acquired by Microsoft) and the team behind Microsoft Security Copilot, Ent is in production with Global 2000 customers across hospitality, financial services, and defense, and backed by Decibel, Sequoia, Crosspoint Capital, Craft Ventures, Shield Capital, Felicis, and In-Q-Tel. We’re now hiring the team that will define this category.
Customer first. The product and the business are built around problems we’ve watched real security teams struggle with — not the other way around. Every roadmap conversation starts with what a CISO told us last week.
Humble. No drama. We hire people who share the mission and trust each other to deliver. Teamwork over showmanship. Accountability over politics. The work speaks louder than...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs