Responsibilities
- Develop and implement a long-term offensive security strategy that aligns red and purple team initiatives with business goals and emerging threats.
- Establish and grow a specialized offensive security function dedicated to AI/ML systems, including adversarial testing of large language models, agent workflows, RAG pipelines, and model-serving environments.
- Monitor and apply advancements in AI-specific threat intelligence from sources like OWASP LLM Top 10 and MITRE ATLAS to improve internal red team operations and detection strategies.
- Conduct in-depth adversarial campaigns targeting AI deployments, focusing on prompt injection, tool misuse, data leakage, training data poisoning, and trust boundary exploits.
- Create and deploy AI-powered penetration testing tools and autonomous agents for ongoing security validation across the API ecosystem.
- Shift from manual penetration testing to continuous offensive security by embedding automated breach and attack simulation into CI/CD and AI model deployment processes.
- Lead, mentor, and scale a team of offensive security engineers, including specialists in AI red teaming, with a focus on career growth and leadership development.
- Recruit top-tier talent at the intersection of offensive security and artificial intelligence, while building internal pathways for engineers to transition into AI-focused roles.
- Deliver live demonstrations of exploit techniques to engineering teams, making AI-related vulnerabilities understandable and actionable for non-specialists.
- Convert technical findings into clear, business-relevant risk assessments for executives, boards, and external partners.
- Collaborate with governance, risk, and compliance teams to provide audit evidence and support compliance with AI-specific standards such as ISO 42001.
- Serve as a senior technical advisor across security and engineering functions, ensuring offensive insights lead to measurable improvements in system resilience and detection capabilities.
Compensation
The estimated base salary ranges from $275,000 to $300,000, with an additional competitive equity package. Final compensation is determined by the candidate's skills, experience, and qualifications.
Work Arrangement
Remote (Worldwide) — San Francisco, Boston, New York, Austin, Tokyo, London, Bangalore
