GenAI Safety Team Lead

Key Responsibilities

• Operate and lead 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.

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.
• 3-5 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.

Pay

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 the Role

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.