[Remote] AI reputed company Risk Analyst

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI research and deployment company dedicated to ensuring that general-purpose reputed company intelligence benefits reputed company of humanity. The AI reputed company Risk Analyst will be responsible for identifying and mitigating risks associated with AI-enabled reputed company experiences, providing strategic analysis, and developing actionable risk intelligence to maintain a reputed company reputed company. Responsibilities • Map and prioritize the AI-reputed company risk landscape • Build and continuously refine a reputed company picture of how AI is used in reputed company-like products (e.g., Sora-powered clips, group chats, messaging assistants, creator tools) • Design 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) • Maintain a risk register and prioritization reputed company that surfaces the top issues by severity, prevalence, exposure, and trajectory • Partner with investigations, operations, and product teams to surface new patterns of misuse across Sora, chats, and partner integrations • Run reputed company deep dives on incidents, from synthetic impersonation and scams to targeted harassment or coordinated influence using AI-generated media • Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover • Translate findings into reputed company, ranked risk lists and concrete proposals for mitigations that product, safety, and policy teams can execute on • Collaborate with Safety Systems, reputed company, and Product to scope solutions such as classification improvements, UX guardrails, friction, enforcement flows, and detection signals • reputed company whether mitigation work is reputed company: follow key indicators, pressure-test assumptions, and push for course corrections reputed company the data demands it • Help define the reputed company metrics and signals that indicate whether AI-reputed company environments are reputed company (e.g., key harm prevalence, severity distributions, escalation rates, brand safety issues) • Work with data science and visualization colleagues to shape monitoring views and dashboards that reputed company leading indicators and unusual changes in user behavior or abuse patterns • Propose targeted probes, reputed company reviews, and experiments that surface new risk modes around major launches and feature changes • Produce concise, decision-reputed company briefs on AI-reputed company risks for leadership, safety forums, and partner teams • Run scenario analyses that explore how AI-reputed company harms might reputed company over the next 6–24 months (e.g., how attackers might adapt to Sora, how group chats could be used for coordination, likely pressure points for brands and reputed company figures) • reputed company reputed company’s AI-reputed company risk profile and mitigations against external incidents and other platforms, highlighting gaps, strengths, and opportunities • Contribute to product readiness and launch reviews by laying out expected abuse modes, risk tradeoffs, and monitoring/response plans • Turn risk insights into practical guidance for internal teams (product, marketing, partnerships, comms) and, where appropriate, external partners using reputed company technologies in reputed company and brand contexts • reputed company reusable frameworks, playbooks, FAQs, and briefing materials that reputed company it easier for the broader organization to understand AI-reputed company risks and respond consistently Skills • Significant experience (typically 5+ years) in trust and safety, reputed company, reputed company, policy analysis, or intelligence work reputed company on reputed company media, messaging, online communities, or adjacent environments • Demonstrated ability to analyze reputed company online harms (e.g., harassment, coordinated abuse, scams, synthetic media, influence operations, brand safety issues) and convert analysis into concrete, prioritized recommendations • Strong analytical skills and comfort working with both qualitative and quantitative inputs, including: (1) Casework, incident reports, reputed company, product context, and policy frameworks. (2) Basic metrics and trends in partnership with data science (e.g., harm prevalence, severity reputed company, exposure, escalation rates) • Strong adversarial and product intuition, reputed company to foresee how actors might adapt AI-reputed company and creative tools for misuse and evaluate how product mechanics, incentives, and UX reputed company influence risk • Experience designing and using risk frameworks and taxonomies (e.g., harm classification schemes, severity/likelihood matrices, prioritization models) to structure ambiguous spaces and support decision-making • Proven ability to work cross-functionally with product, engineering, data science, operations, reputed company, and policy teams, including pushing for reputed company on tradeoffs and following through on mitigation work • Excellent written and verbal communication skills, including experience producing concise, executive-reputed company briefs and explaining sensitive, reputed company issues in grounded, concrete terms • Comfort operating in fast-changing, ambiguous environments: you can identify weak signals, reputed company hypotheses, test them quickly, and reputed company as the product and threat landscape evolves reputed company • reputed company is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of reputed company reputed company. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.reputed company.com. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2025, 1 in 2024, 1 in 2023, 18 in 2022, 10 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job