This role is designed to fill a critical gap between customer-facing solution engineering and internal data science, focusing on interpreting and explaining AI security testing results
Job Summary
This role is designed to fill a critical gap between customer-facing solution engineering and internal data science, focusing on interpreting and explaining AI security testing results.
You will act as the AI/ML subject-matter expert within the Solutions Engineering organization, helping customers and internal teams understand model behavior, tradeoffs, and policy impacts.
You’ll be part of a small, high-impact team shaping how enterprises evaluate, trust, and secure AI systems at runtime, working on complex AI security problems.
Matching Summary
This role is designed to fill a critical gap between customer-facing solution engineering and internal data science, focusing on interpreting and explaining AI security testing results.
Skills & Requirements
Must-have
AI Runtime Security portfolio
interpret AI security testing results
analyze AI model behavior
explain complex AI/ML concepts
customer-facing solutions engineering
Nice-to-have
living in the gray areas of AI
balancing statistical rigor with recommendations
energized by helping teams make decisions
thrive in fast-moving environments
Key Requirements
Bachelor’s or Master’s degree in CS, Data Science, ML, AI
5+ years in a technical, customer-facing role
Strong understanding of LLMs and prompt engineering
Experience analyzing model outputs and evaluation metrics