Agentic Risk Analyst

About the Role

The role requires a strategic, system-level perspective, with a focus on both adversarial misuse and unintended system behavior. You will be responsible for building and maintaining a current, company-wide portfolio of material agentic risks across OpenAI's products, platforms, and emerging capabilities. This will involve mapping each risk to relevant workstreams, owners, mitigations, dependencies, decisions, and residual gaps. Your work will inform safety mitigations, product decisions, and partnerships, ensuring OpenAI's tools are deployed securely and responsibly across critical sectors.

As a member of the Strategic Intelligence & Analysis team, you will be part of a dynamic group that provides safety intelligence for OpenAI's products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Your expertise will help shape OpenAI's operating picture for current agentic risk across products and platforms, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps.

What You Will Do

• Build and maintain a current, company-wide portfolio of material agentic risks across OpenAI's products, platforms, and emerging capabilities
• Run a cross-functional intake and review cadence for signals from across OpenAI and the broader ecosystem to identify emerging risks, evolving threat patterns, and important shifts in the agentic risk landscape
• Connect individual incidents, technical findings, evaluations, and weak signals to broader system-level trends, producing clear assessments of impact, severity, evidence, uncertainty, priority, and recommended action
• Assess how emerging capabilities, product changes, ecosystem developments, and adversary adaptation may affect current risk priorities and launch readiness
• Partner with colleagues who lead horizon scanning to use relevant external developments across AI safety and security research, public incidents, adversarial activity, industry standards, emerging technologies, and competitor products as inputs to current risk prioritization and mitigation decisions
• Apply and refine practical frameworks and taxonomies for current agentic failure modes, control gaps, abuse patterns, and potential downstream harms across products, deployment environments, and user workflows
• Maintain a shared operating picture of current risks, mitigation priorities, owners, and dependencies across product, safety, security, policy, and governance teams
• Work closely with investigators, engineers, product, policy, safety, and security teams to ensure that safety decisions keep pace with rapidly advancing technology

What We Are Looking For

• 5+ years of experience in risk analysis, threat intelligence, or a related field
• Strong understanding of AI systems, machine learning, and deep learning
• Experience with risk assessment and mitigation strategies
• Excellent analytical and problem-solving skills
• Ability to communicate complex technical information to non-technical stakeholders
• Strong collaboration and teamwork skills
• Experience with agile development methodologies and version control systems
• Strong understanding of security principles and threat modeling
• Familiarity with industry standards and best practices for AI safety and security

Nice to Have

• Experience with red teaming, security reviews, and vulnerability assessments
• Familiarity with AI safety and security research, including current topics and trends
• Experience with machine learning and deep learning frameworks
• Strong programming skills in languages such as Python, Java, or C++
• Experience with cloud-based infrastructure and containerization

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a cutting-edge AI company
• Collaborative and dynamic work environment
• Professional development opportunities, including training and conference attendance
• Flexible work arrangements, including remote work options
• Access to state-of-the-art technology and tools
• Recognition and reward for outstanding performance
• Comprehensive health insurance and wellness programs
• Generous PTO and holiday schedule
• Access to a diverse and inclusive community of professionals

• Tip: Develop a strong understanding of AI systems, machine learning, and deep learning to succeed in this role.
• To stand out, highlight your experience with risk assessment and mitigation strategies, as well as your ability to communicate complex technical information to non-technical stakeholders.
• Be prepared to discuss your experience with agile development methodologies and version control systems.
• Consider taking courses or attending conferences to stay up-to-date with the latest developments in AI safety and security research.
• When negotiating salary, be sure to research the market average for similar positions and highlight your unique skills and experience.
• Be cautious of companies that do not prioritize AI safety and security, as this can be a red flag for the company's values and priorities.