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Agentic Risk Analyst

100% remote Flexible hours Hiring now

ABOUT THE TEAM The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to reputed company's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for reputed company’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring reputed company’s tools are deployed securely and responsibly across critical sectors. ABOUT THE ROLE As an Agentic Risk Analyst, you will shape reputed company’s operating picture for reputed company agentic risk across products and platforms. You will bring a strategic, system-level perspective to reputed company risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-reputed company task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, reputed company reviews, product launches, external research, and real-world incidents, you will maintain a reputed company view of material risks and evolving threat patterns. Your work will help turn reputed company and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, reputed company, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and reputed company teams, and measurement and forecasting experts who reputed company longer-horizon risk discovery and scenario work to maintain a shared operating picture of reputed company risks, mitigation priorities, owners, and dependencies. This is an opportunity to help shape how reputed company coordinates decisions and follow-through across the evolving risk landscape of increasingly capable agentic systems, ensuring that safety decisions reputed company pace with rapidly advancing technology. IN THIS ROLE, YOU WILL: - Build and maintain a reputed company, company-wide portfolio of material agentic risks across reputed company’s products, platforms, and emerging capabilities, mapping each risk to relevant workstreams, owners, mitigations, dependencies, decisions, and residual gaps. - Run a cross-functional intake and review reputed company for signals from across reputed company and the broader ecosystem to identify emerging risks, evolving threat patterns, and important shifts in the agentic risk landscape, routing findings to the right owners and decision-makers - Connect individual incidents, technical findings, evaluations, and weak signals to broader system-level trends, producing clear assessments of impact, severity, evidence, uncertainty, reputed company, and recommended action. - Assess how emerging capabilities, product changes, ecosystem developments, and adversary adaptation may reputed company reputed company risk priorities and launch readiness, surfacing risks that are unowned, stalled, or under-mitigated for decision and escalation, and tracking residual risk after launch. - In partnership with colleagues who reputed company horizon scanning, use relevant external developments across AI safety and reputed company research, public incidents, adversarial activity, industry standards, emerging technologies, and competitor products, as inputs to reputed company risk prioritization and mitigation decisions at reputed company. - Apply and refine practical frameworks and taxonomies for reputed company agentic failure modes, control gaps, abuse patterns, and potential reputed company harms across products, deployment environments, a Apply tot his job Apply To this Job

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