AI Safety Team Lead - Red Teaming Operations

About the Role:

ActiveFence is seeking an experienced and detail-oriented Red Teaming Team Lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data-driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration.

Key Responsibilities

Operational and Quality Leadership

● Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities.

● Review and approve deliverables to ensure they meet quality, methodological, and ethical standards.

● Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities.

● Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement.

Methodology and Research Development

● Design and refine red teaming methodologies for new Responsible AI projects.

● Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems.

● Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications.

Client Engagement and Collaboration

● Attend client meetings to address broader methodological or operational questions.

● Represent the red teaming function in cross-departmental collaboration with other ActiveFence teams.

Requirements:

Must Have

● Proven background in red teaming, AI safety research, or Responsible AI operations.

● Demonstrated experience managing complex projects or teams in a technical or analytical environment.

● Strong understanding of adversarial testing methods and model evaluation.

● Excellent communication skills in English, both written and verbal.

● Exceptional organizational ability and attention to detail, with experience balancing multiple priorities.

● Confidence in client-facing environments, including presenting deliverables and addressing high-level questions.

Nice to Have

● Advanced academic or research background in AI, computational social science, or information integrity.

● Experience authoring or co-authoring publications, white papers, or reports in the fields of AI Safety, Responsible AI, or AI Ethics.

● Engagement in professional or academic communities related to Responsible AI, trust and safety, or machine learning security.

● Participation in industry or academic conferences.

● Familiarity with developing or reviewing evaluation frameworks, benchmarking tools, or adversarial datasets for model safety testing.

● Proven ability to mentor researchers and foster professional development within technical teams.

● A proactive, research-driven mindset and a passion for ensuring safe, transparent, and ethical AI deployment.

Location:

Israel/UK

How to apply:

To apply, please send your CV to yaelb@activefence.com