Lead Engineer (Breach & Attack Simulation)

Jobot; Austin (TX); On-site; USD 250,000 - 400,000; Full time

Job summary

Jobot is seeking a Lead Engineer for our AI Attack Simulation platform in Austin, TX. This is a staff/principal‑level, hands‑on engineering role that blends deep software engineering with an attacker’s mindset to reproduce and study attacks in production.

You will work in a fast‑growing AI cybersecurity company with small, empowered pods, focusing on protecting AI systems, simulating adversarial scenarios, and delivering measurable security outcomes for customers.

Job description

Job details

This Jobot Job is hosted by: Craig Rosecrans

Salary: $250,000 - $400,000 per year

A bit about us

We are partnering with a rapidly growing, well-funded AI cybersecurity company that is building technology designed to protect the AI systems, applications, models, and autonomous agents increasingly being deployed across the enterprise and government.

Following a major new round of funding, the company is expanding its approximately 30-person engineering organization and rethinking how products are built. Rather than large teams executing against predefined tickets, engineering is moving toward small, highly empowered three-person pods that own problems from customer discovery through architecture, development, validation, and production delivery.

We are searching for an exceptional Lead Engineer for the company's AI Attack Simulation platform.

Don't let the 'Lead' title undersell the opportunity. This is essentially a Staff/Principal-level hands‑on engineering role for someone who can combine deep software engineering ability with an attacker's mindset.

The central question behind the product is simple:

How would an attacker compromise this AI system—and how can we safely, repeatedly, and measurably reproduce those attacks before a real adversary does?

You'll help answer that question in production.

Why join us

The company operates at the convergence of two of the most consequential technology categories today: artificial intelligence and cybersecurity.

Its broader platform helps organizations discover and understand the AI systems operating throughout their environments, protect AI applications at runtime, secure LLM/chatbot and agent workflows, simulate attacks against AI systems, monitor emerging coding‑agent