Cybersecurity Analyst in San Francisco

About the Team The Intelligence and Investigations team is dedicated to ensuring the safe, responsible deployment of AI by rapidly detecting and mitigating abuse. Our team leverages the latest testing methodologies to uncover vulnerabilities and emerging threats, helping safeguard OpenAI’s products and users. We work closely with cross-functional partners across product, policy, and engineering to drive a comprehensive defense strategy against evolving adversarial challenges. About the Role As a Red Team Specialist focused on cyber, you will help answer two practical questions: What cyber capabilities can our models provide to real-world attackers, and do our safeguards remain effective when those attackers use increasingly sophisticated techniques? The role combines scaled evaluation with expert-driven testing. You may bring deeper experience in cybersecurity and use that expertise to judge whether a model’s behavior meaningfully changes attacker capability. Alternatively, you may bring deeper experience in model evaluations, automation, or agentic harnesses and apply those skills to building rigorous cyber testing. We do not expect every candidate to be equally deep in both areas, but successful candidates will have a strong foundation in one and enough fluency in the other to work effectively across the boundary. Most of your work will focus on model cyber capabilities and safeguards; you will also spend a portion of your time testing novel abuse risks in agentic systems. This role is located in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and run rigorous evaluations of model cyber capabilities and safeguards, including policy adherence, correct refusal, over refusal, and resilience to jailbreaking and other adversarial techniques. Conduct hands-on testing to understand what models can enable when used by experienced security practiti

About the Team The Product Marketing team shapes how OpenAI brings its research, models, and products to market. We work across Research, Product, Engineering, Sales, Communications, and Marketing to translate technical advances into clear customer value, compelling market narratives, and go-to-market strategies that drive meaningful adoption. About the Role We’re looking for a senior product marketing leader to shape how OpenAI’s models and research are understood and adopted around the world. You’ll work directly with frontier research teams to understand emerging capabilities and translate them into compelling product strategies, market narratives, and customer experiences. Your scope will span frontier models, specialized models for cybersecurity and life sciences, multimodal capabilities, and the API portfolio that makes these systems accessible to developers and businesses. You’ll build and lead the team responsible for helping customers understand what our models can do, how they’re evolving, and how to deploy them responsibly. In this role, you will: Define the product marketing strategy for OpenAI’s models, research advances, and API portfolio. Embed with Research, Product, and Engineering to understand model capabilities, evaluations, limitations, and technical tradeoffs. Shape how OpenAI explains advances in AI to developers, business leaders, and the broader market. Lead positioning, launches, demonstrations, and adoption strategies across frontier, specialized, and multimodal models. Help customers navigate model selection, API access, privacy, security, and responsible deployment. Bring customer and market insights into research and product decisions. Partner with Sales, Solutions, Partnerships, and regional teams to develop customer narratives, use cases, and enablement. Work with Communications, Safety, Policy, and Legal to ensure technical claims are accurate and grounded. Build and lead a high-performing product marketing team and define success ac

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection en

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises legal professionals from diverse fields, including technology, privacy, IP, corporate, cybersecurity, employment, tax, regulatory, and litigation. About the Role We’re growing our world-class Legal team and seek an experienced counsel to lead our global hardware IP portfolio initiatives, including patent, trademark and other intellectual property matters related to our business. This role is highly cross-functional across OpenAI, including work across our Legal, Communications, Global Affairs, Product, Research and Executive teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own global hardware IP initiatives, including setting and executing on the strategic direction and management of our hardware IP portfolio. Create scalable processes internally and externally with outside counsel to build, maintain and protect our hardware IP portfolio. Developing and maintaining internal hardware IP policies and programs. Engaging externally on hardware IP policy issues. Advising on strategic hardware IP deals. Advising on hardware IP issues, ranging from patent, trademark, trade secret to open source. Developing and building internal AI expertise, processes and tools to facilitate legal team work. Experience advising on complex technology transactions and inbound technology licensing. You might thrive in this role if you: Have at least 10+ years of combined hardware IP experience at innovative technology companies and law firms. Have a JD and license or qualification to practice in CA. Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being con

About the team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations. In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation. You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk. Your Responsibilities: Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities. Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations. Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity. Build policy artifacts that support i

About the Role We’re looking for a senior individual contributor to lead GTM Strategy & Operations for Security & Safety, in close partnership with the Policy team. This role will help translate policy, security, and safety considerations into clear GTM strategies, operating models, launch plans, and scalable execution mechanisms. You’ll work across Product, Policy, Safety, Security, Legal, Data, Sales, Customer Success, Marketing, and Revenue Operations to understand customer and field needs, shape business recommendations, and support the successful adoption of security- and safety-critical products and capabilities. This role is ideal for someone who combines strong strategic and operational judgment with the ability to work effectively on complex policy-adjacent topics. You’ll help ensure that GTM plans reflect relevant policy requirements and that recurring customer and field insights inform future policy and product decisions. In this role, you will: Define the GTM operating model for the Security & Safety program, including ownership, decision forums, planning cadences, and escalation paths. Partner with Policy, Product, Security, Safety, Legal, and Data to translate policy considerations into actionable GTM guidance and operating processes. Develop go-to-market strategy for cybersecurity models, including target customers, use cases, commercialization approach, launch readiness, success metrics, and field enablement. Build mechanisms to capture recurring customer and field needs related to security, safety, application security, and policy implementation. Translate customer feedback and field requirements into recommendations for product roadmaps, policy development, enablement, and operational priorities. Support the operationalization of data-retention policies and related customer or deployment requirements across GTM. Track customer demand, implementation blockers, and market signals to refine GTM strategy and inform Policy and Product partne

About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-6 Astra, GPT-Live, and GPT-Image-2.5 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, Cyber, you will create technical content, developer tools, and sample applications that help developers and security teams secure the software they build and depend on. You will turn OpenAI’s cybersecurity capabilities, including Codex Security, into clear, runnable examples and useful learning experiences. You will work directly with developers, security practitioners, and technical founders to understand their needs and show how AI can improve secure development and defensive security workflows. We’re looking for a hands-on engineer who combines strong software skills, creativity, developer empathy, and curiosity about cybersecurity, and who can own projects from the first prototype through release and ongoing improvement. In this role, you will: Build demos, sample applications, and developer tools that demonstrate practical ways to use Codex, OpenAI’s APIs, and Cyber products for secure software development and defensive workflows. Create tutorials, blog posts, videos, and code samples that help developers understand security findings, validate and prioritize vulnerabilities, r

About the Team Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse and misalignment safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the Role We are seeking exceptional researchers who can push the frontier of safety mitigations. You will help derisk frontier models by developing novel safety mitigations, developing and applying new techniques from domains like interpretability, control, and alignment to ensure the safety of OpenAI’s deployed models. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. This role requires strong technical depth and close cross-functional collaboration to ensure our safety mitigations are enforceable, scalable, and effective. We seek researchers who can partner with experts across domains such as misalignment, cybersecurity, and biology in order to develop the best possible end-to-end safety stack. In this role, you will: Work on identifying emerging AI safety risks and new methodologies for exploring and mitigating the impact of such risks Build (and then continuously refine) the evaluations that enable us to assess the extent of these risks; this might include worki

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We are seeking a strategic and technically fluent Lead, IT Audit to join our Finance team reporting to the Head of Internal Audit. This is a broad, high-impact role spanning both IT SOX compliance and operational IT audits. You will help establish and elevate our technology controls program end to end — owning the IT SOX lifecycle, designing the IT general and application controls framework, embedding AI and automation into how we test and monitor controls, and delivering value-added operational IT and cybersecurity audits that strengthen how the company builds and runs its systems. You will partner with leaders across Engineering, Security, IT, Finance, and the business to ensure sound technology controls are built into how the company operates as we scale. This role is ideal for someone who thinks like a builder, not just an auditor — someone who can translate complex control and security requirements into practical, scalable processes in a fast-moving SaaS environment with modern cloud architecture and complex data flows. This role can be based in either San Francisco or New York City. We work from our offices on M