Own end-to-end delivery of AI red teaming engagements, from scoping through final report delivery.
Act as the primary customer point of contact during active engagements, ensuring clarity, momentum, and trust.
Partner with customers to define AI-specific testing objectives, threat models, and success criteria.
Structure red team assignments based on AI system architecture, model types, agent complexity, and engineer skillsets.
Attend and support engineers during customer kickoffs, technical deep dives, and executive report readouts.
QA all assessment reports before customer delivery, ensuring technical accuracy, clarity, and actionable findings.
Establish and maintain quality standards across deliverables, methodologies, and reporting templates.
Mentor and develop engineers on the red team, identifying skill gaps and creating structured development plans. Drive the evolution of AI red teaming methodologies based on real-world engagement learnings and emerging attack techniques.
Build scalable delivery processes that support growth, utilization tracking, and capacity planning.
Coordinate with Sales and Customer Success on pipeline visibility, forecasting, and engagement readiness.

7+ years of experience in penetration testing, red teaming, or offensive security delivered in a consulting, professional services, or security services environment.
3+ years of experience managing or leading security teams serving enterprise-scale organizations.
A proven track record managing client relationships with large, complex organizations through the full engagement lifecycle.
Experience scaling a services team or practice, including capacity planning, resource allocation, and quality control.
Strong written and verbal communication and interpersonal skills, with comfort presenting in customer scoping calls, technical deep dives, and executive readouts.
Experience conducting AI/ML security assessments (e.g., prompt injection, jailbreaking, model security, or agentic systems) is strongly preferred.
Familiarity with AI security frameworks such as OWASP LLM Top 10, NIST AI RMF, or similar standards is strongly preferred.
An organized, self-starter approach with an eye for finding creative ways to improve processes and deliver excellence at scale.
A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way.
Comfortable in a small and fast moving startup environment.

AI Red Team Delivery Manager

Key skills