About the company
OpenAIās mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team is composed of PR/Media Relations, Events, Design, and other external-facing functions. The teamās ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. The Events team is a dynamic group dedicated to crafting extraordinary experiences that encompass our company's values and mission. Our team is driven by a passion for bringing people together to connect in meaningful ways.
Job Summary
In this role, you will
šMap and prioritize the AI-social risk landscape šBuild and continuously refine a clear picture of how AI is used in social-like products (e.g., Sora-powered clips, group chats, messaging assistants, creator tools). šDesign and maintain harm taxonomies tailored to AI-mediated communication (e.g., synthetic harassment, coordinated AI-assisted brigading, synthetic identity/brand misuse, reputational and intimate harms). šMaintain a risk register and prioritization framework that surfaces the top issues by severity, prevalence, exposure, and trajectory. šDetect and deep dive into emerging abuse patterns šPartner with investigations, operations, and product teams to surface new patterns of misuse across Sora, chats, and partner integrations. šRun structured deep dives on incidents, from synthetic impersonation and scams to targeted harassment or coordinated influence using AI-generated media. šConnect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover. šTurn analysis into actionable risk intelligence
You might thrive in this role if you
šSignificant experience (typically 5+ years) in trust and safety, integrity, security, policy analysis, or intelligence work focused on social media, messaging, online communities, or adjacent environments. šDemonstrated ability to analyze complex online harms (e.g., harassment, coordinated abuse, scams, synthetic media, influence operations, brand safety issues) and convert analysis into concrete, prioritized recommendations. šStrong analytical skills and comfort working with both qualitative and quantitative inputs, including: (1) Casework, incident reports, OSINT, product context, and policy frameworks. (2) Basic metrics and trends in partnership with data science (e.g., harm prevalence, severity profiles, exposure, escalation rates). šStrong adversarial and product intuition, able to foresee how actors might adapt AI-social and creative tools for misuse and evaluate how product mechanics, incentives, and UX decisions influence risk.
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