Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 1
SQL @ 1
Hiring @ 4
Communication @ 6
Prioritization @ 4
Fraud @ 6
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Intelligence & Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. As an Agentic Risk Analyst you will shape OpenAI’s operating picture for current agentic risk across products and platforms, synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents to maintain a current view of material risks and evolving threat patterns.
Responsibilities
- Build and maintain a current, company-wide portfolio of material agentic risks across OpenAI’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 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, 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, priority, and recommended action.
- Assess how emerging capabilities, product changes, ecosystem developments, and adversary adaptation may affect current risk priorities and launch readiness; surface risks that are unowned, stalled, or under-mitigated and track residual risk after launch.
- Use external developments across AI safety and security research, public incidents, adversarial activity, industry standards, and competitor products as inputs to current risk prioritization and mitigation decisions.
- Apply and refine practical frameworks and taxonomies for agentic failure modes, control gaps, abuse patterns, and potential downstream harms across products, deployment environments, and user workflows.
- Produce concise, decision-ready assessments that communicate key findings, assumptions, confidence levels, competing hypotheses, and prioritized recommendations with accountable owners and next review points.
- Define and track operating metrics for the agentic-risk program, including coverage, ownership, decision latency, mitigation status, and closure; partner with measurement experts on risk indicators and monitoring capabilities.
- Partner with colleagues who lead evaluations, scenario analyses, tabletop exercises, red-team campaigns, and investigations focused on agentic systems, using their findings to drive actionable mitigations and measurable follow-through.
Requirements
- Significant experience (typically 7+ years) in trust and safety, integrity, security, cyber threat intelligence, AI safety, product risk, strategic intelligence, abuse investigations, or a related field.
- Strong understanding of modern AI systems and agentic architectures, including hands-on experience using, evaluating, or building agentic systems; familiarity with AI safety concepts, agentic failure modes, and misalignment risks.
- Demonstrated experience analyzing how harmful outcomes emerge from interactions between users, products, and technical systems, and assessing how agentic systems may amplify or transform abuse vectors (fraud, scams, social engineering, coordinated influence operations, cyber abuse, etc.).
- Experience operating cross-functional risk, safety, security, or integrity programs: clarifying ownership, resolving dependencies, escalating gaps, and driving follow-through without direct authority.
- Exceptional analytical judgment and experience producing assessments under uncertainty; ability to identify weak signals, develop and test hypotheses, and communicate assumptions and confidence levels clearly.
- Strong technical fluency and comfort engaging with engineers, researchers, and security practitioners; ability to translate technical findings into clear risk assessments.
- Comfortable synthesizing data and evidence from multiple sources (investigations, telemetry, evaluations, experiments, dashboards, and external research). Experience using SQL, Python, and analytical tools is a plus.
- Experience applying risk frameworks, threat models, severity assessments, taxonomies, or prioritization frameworks to structure operational ambiguity and support decision-making.
- Excellent communication skills: produce concise, executive-ready analysis and influence stakeholders across technical and non-technical teams.
- Ability to thrive in fast-moving environments while building lightweight operating processes and tools that improve coordination and follow-through on material risks.
Benefits & Compensation
- Compensation range: $288,000 - $425,000 per year; offers equity.
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental leave, paid medical and caregiver leave.
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees; 13+ paid company holidays and periodic company office closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees and additional taxable fringe benefits (charitable donation matching, wellness stipends).
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diverse perspectives, and inclusive hiring practices, and conducts background checks in accordance with applicable law. Reasonable accommodations for applicants with disabilities are available through the provided application links.