GenAI Safety Team Lead

Description Alice is seeking an experienced and detail-oriented GenAI Safety 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 and teams in a technical or analytical environment. - 5+ years of experience - 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. The salary range for this role is $127K - $140K OTE - Range may vary based on experience. Salary at the time of offer will be commensurate with experience. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Originally posted on Himalayas