Lead Engineer – AI Security & Attack Simulation

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Lead the Future of AI Security – Build Cutting-Edge Attack Simulation Technology!

This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $200,000 - $300,000 per year

A bit about us:

We are a rapidly growing cybersecurity technology company focused on protecting enterprise AI systems from emerging adversarial threats.

Our technology helps organizations safely adopt and deploy AI by identifying vulnerabilities, simulating real-world attacks, and protecting critical AI assets. Our customers include organizations across financial services, healthcare, government, and the Fortune 500.

We're looking for a Lead Engineer, AI Attack Simulation who can combine deep software engineering expertise with AI, cybersecurity, and product thinking to help build the next generation of AI security technology.

Why join us?

• 100% Remote within the U.S.
• Work at the intersection of AI + cybersecurity
• Lead architecture and technical direction for a cutting-edge security product
• Work directly with Product Management and Security Research
• Build production agentic AI and attack-simulation systems
• Highly visible technical leadership position
• Opportunity to mentor and influence senior engineers
• Venture-backed, high-growth technology environment
• Comprehensive health and wellness benefits
• 401(k)
• Flexible/unlimited PTO
• Dedicated learning and development funding
• Home-office and internet/phone stipends

Job Details

We're seeking a hands-on engineering leader to own the technical direction, architecture, and execution of an AI Attack Simulation platform.
You'll translate adversarial AI research and real-world attack techniques into scalable, repeatable security-testing capabilities while helping determine what gets built, why it matters, and how success is measured.

This is not a ticket-management leadership position. You'll remain hands-on with architecture, prototyping, implementation, and difficult technical problems while mentoring engineers and partnering closely with Product and Security Research.

Responsibilities

• Own architecture and technical direction for AI attack-simulation technology
• Build scalable systems that translate adversarial AI techniques into production security capabilities
• Design agentic workflows, tool integrations, execution systems, guardrails, and evaluation frameworks
• Partner with Product Management and Security Research on strategy and roadmap development
• Develop AI-first engineering workflows across research, prototyping, implementation, testing, and release
• Remain hands-on with critical architecture and complex engineering challenges
• Lead technical reviews and establish engineering best practices
• Improve reliability, security, observability, and overall product quality
• Mentor engineers and help develop senior technical talent
• Help engineers take greater ownership of customer problems and product outcomes

Qualifications

• 10+ years of professional software engineering experience
• Significant technical leadership experience with complex production systems
• Strong backend and distributed systems engineering background
• Deep experience with cloud-native architectures
• Production experience building AI or agentic systems
• Experience with tool use, orchestration, state management, structured outputs, guardrails, and AI evaluation
• Cybersecurity product experience or background in areas such as:

o Offensive security
o Attack simulation
o AI security
o Red teaming
o Penetration testing
o Security/control validation

• Strong Go/Golang development experience
• Experience with another production language such as Python, Rust, Java, or TypeScript
• Strong product mindset and experience working directly with Product Management
• Ability to mentor engineers and lead through ambiguity

Preferred Experience

• AI red teaming or adversarial machine learning
• Breach and attack simulation
• Adversary emulation or continuous security validation
• MITRE ATT&CK and/or ATLAS
• OpenAI Agents SDK, LangGraph, AutoGen, or similar agent orchestration technology
• AI evaluation datasets, graders, traces, and regression frameworks
• Secure sandbox development
• Enterprise, self-hosted, air-gapped, or regulated software environments
• Hiring and developing senior engineers

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

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