GenAI Safety Team Lead

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ActiveFence

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

💰 $400M Series B on 2021-07

Cybersecurity • Artificial Intelligence

ActiveFence is a Trust and Safety provider for online platforms, protecting platforms and their users from malicious behavior and content. Trust and Safety teams of all sizes rely on ActiveFence to keep their users safe from the widest spectrum of online harms, unwanted content, and malicious behavior, including child safety and exploitation, disinformation, hate speech, terror, nudity, fraud, and more. We offer a full stack of capabilities with our deep intelligence research, AI-driven harmful content detection, and online content moderation platform. Protecting over three billion users globally everyday in over 100 languages, ActiveFence lets people interact and thrive online.

📋 Description

• 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. • 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. • Attend client meetings to address broader methodological or operational questions. • Represent the red teaming function in cross-departmental collaboration with other ActiveFence teams.

🎯 Requirements

• 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.