OpenAI

• Serve as the technical owner of OpenAI’s offensive security agents, establishing its architecture, technical direction, operating model, and evaluation strategy. • Design and build a portfolio of specialized agents that continuously test OpenAI’s infrastructure and applications from a variety of authenticated and unauthenticated perspectives. • Translate expert offensive security workflows and intuition into tools, skills, harnesses, policies, and internal knowledge bases. • Build agents that deeply understand OpenAI’s environment by integrating internal context. • Develop capabilities for testing cloud and Kubernetes environments, modern web applications, external attack surface, endpoints, and other high-value systems. • Build complete vulnerability-management loops that move beyond discovery to impact validation, ownership identification, prioritization, remediation support, progress tracking, and fix verification. • Design human-in-the-loop systems that allow offensive security engineers to approve or reject potentially dangerous actions, provide missing context, redirect investigations, and steer agents away from unproductive paths. • Create feedback mechanisms that allow agents to learn from the decisions, corrections, and domain expertise of experienced offensive security practitioners. • Develop rigorous evaluations that measure meaningful security outcomes and improvements in agent capability over time. • Build production-quality infrastructure that allows the system to run continuously, recover from failures, remain observable and debuggable, and operate safely against production systems. • Investigate failures in agent reasoning and behavior, identify where models are capable or unreliable, and improve the surrounding tools, context, workflows, and guardrails accordingly. • Partner closely with offensive security, infrastructure security, product security, codex security, and engineering teams to ensure findings are high signal, understandable, and actionable. • Help define the future of offensive security at OpenAI, with the goal of enabling agents to perform most repeatable security testing while human experts focus on automation and high leverage agent-assisted manual review.

• Drive cross-functional coordination between rack manufacturing, deployment operations, and site readiness programs. • Manage operational execution across rack contract manufacturers including CTB tracking, build planning, and escalations. • Coordinate rack delivery timelines against infrastructure deployment readiness milestones. • Partner with sustaining manufacturing engineering teams on RCCA tracking and operational issue resolution. • Translate strategic planning and deployment inputs into actionable SKU-level manufacturing and delivery schedules. • Drive execution across multiple concurrent deployment programs with shifting priorities and timelines. • Develop operational mechanisms, reporting, and tracking systems to improve manufacturing and deployment visibility. • Partner across Infrastructure Strategy, Deployment, Manufacturing Operations, Supply Chain, and Capacity Planning organizations.

Title: Quantitative Intelligence Analyst Job Description: Location San Francisco Employment Type Full time Location Type Hybrid Department Intelligence & Investigations Compensation - $198K – $320K • Offers Equity The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. More details about our benefits are available to candidates during the hiring process. This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. OverviewApplication 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 OpenAI's overarching goal of developing AI that benefits humanity. 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. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: - Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators - Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time - Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts - Analyze risk trends to assess the underlying drivers and causal factors behind those changes - Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems - Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities - Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams You might thrive in this role if you: - Have 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research - Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas - Familiarity with data mining, statistical modeling, and supervised learning methods - Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes - Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses - Comfortable working with Python and SQL - Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

• Develop and maintain OpenAI’s infrastructure sustainability strategy across power, data center growth, emerging energy technology, and related site-readiness workstreams. • Evaluate emerging energy solutions such as clean firm power, advanced storage, grid flexibility, low-carbon backup power, heat reuse, water-related energy efficiency, and other scalable technologies where relevant. • Identify pilot opportunities and deployment pathways that can move promising energy technologies from concept to commercially and operationally credible execution. • Translate technical options into clear reliability, cost, schedule, carbon, regulatory, and operational implications for infrastructure decision-making. • Partner with energy regulatory, policy, procurement, engineering, deployment, finance, legal, and site-readiness teams to align technology and sustainability choices with project needs. • Coordinate with OpenAI’s central sustainability function as it develops to ensure infrastructure-specific goals, metrics, reporting, and commitments remain consistent. • Track external market, policy, utility, and technology developments that could affect OpenAI’s ability to scale resilient, low-carbon infrastructure. • Build repeatable evaluation frameworks, partner criteria, and execution playbooks for sustainability and emerging energy technology initiatives.

• You will design and deliver community-aligned environmental programs that improve permitting outcomes, strengthen local trust, and provide high-impact, cost-effective benefits to host communities. • You will lead environmental diligence and risk assessment across prospective sites, including wetlands, water supply, floodplains, endangered species, cultural resources, stormwater, air, noise, and construction impacts, translating findings into commercial, schedule, and development decisions. • You will manage site-level environmental investigations and liability review, including Phase I / Phase II ESAs, noise studies, archaeological and cultural-resource reviews, and brownfield or acquired-property environmental liability assessment where relevant. • You will establish and enforce OpenAI’s environmental and community standards across land developers, utilities, EPCs, and joint-venture partners, including auditing third-party studies, mitigation plans, and construction practices to ensure alignment with OpenAI’s long-term operating model. • You will lead environmental and permitting strategies across federal, state, and local agencies, including NEPA, USACE Section 404, state wetlands, stormwater, air, water, and waste, sequencing approvals to support development schedules and operations. • You will oversee environmental compliance during construction and early operations, including stormwater (SWPPP), spill prevention (SPCC), hazardous materials, PFAS, and related field programs. • You will partner closely with internal teams across site selection, power, engineering, and community affairs to integrate environmental and community considerations into every stage of project development.

• Build native security controls for Codex • Partner with engineering, design, security, and safety teams to develop controls for: - Identity, roles, permissions, and tenant isolation. - Access to repositories, files, tools, MCP servers, secrets, networks, and infrastructure. - Read, write, execute, and deployment authority. - Human and policy-based approvals. - Prompt-injection and untrusted-content defenses. - Audit trails, provenance, stop conditions, revocation, and rollback. • Help establish a graduated authority model in which local, read-only, and reversible actions require less friction than actions involving production systems, credentials, sensitive data, or irreversible changes. • Develop common, versioned interfaces that allow customer-selected security products to participate in Codex workflows. • Define requirements for authentication, authorization, customer consent, data minimization, and backwards compatibility. • Work directly with security vendors and enterprise design partners to turn interfaces into production integrations. • Create partner SDKs, reference implementations, technical documentation, test environments, conformance suites, and certification requirements. • Define how enterprise administrators configure and understand Codex security controls, including policies, approved security providers, and audit workflows. • Work with teams to test controls under realistic conditions and evaluate risks such as permission bypass and malicious tools.

Role Description We are seeking an Integrated Marketing Manager that can lead the development and execution of multi-channel marketing campaigns that drive awareness, engagement, and conversion across our key audiences. This role is perfect for a creative thinker and skilled collaborator who thrives bringing together different teams for a common goal in an ever-changing environment. In this role you will... - Guide Integrated Campaign Strategy: Work closely with Business, Product and Marketing Strategy to develop and execute marketing campaign plan that align with business goals and span paid, owned and earned channels. - Campaign Management: Own the end-to-end planning and execution of integrated campaigns - from brief and conceptual development to stakeholder alignment, flawless execution, launch and post-campaign analysis. - Creative Excellence: Partner with Creative Teams - both internal and agencies - to cultivate the right space for creative risk taking in service of iconic work. - Cross-Functional Collaboration: Partner closely with teams across Product, Product Marketing, GTM, Comms, and Global Affairs to bring campaigns to life for maximum impact. Qualifications - 10+ years of experience in marketing and advertising agencies with at least 3 years in an integrated or campaign-focused role. - Proven success managing cross-channel campaigns across digital, social, email, paid media, and events. - Strong understanding of content marketing, customer journey mapping, as well as excellent project management skills. - Proficiency across channels, including TV, OOH, social, content, performance marketing, and events. - Strong ability to communicate and influence at an executive level, with fluency in adapting messaging to different cultural contexts. - Comfortable working in a fast-paced, evolving environment with the ability to pivot strategies based on market dynamics. Requirements - Passion for storytelling and connecting brand with audience. - A test-and-learn mindset with a focus on continuous improvement. - Familiarity with AI and emerging technology marketing trends. - Product launch experience. Company Description OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

• Lead the development and execution of India B2B marketing strategy, aligned with global priorities and India GTM objectives. • Drive full-funnel B2B marketing programs across field marketing, content, customer marketing, events, executive engagement, and partner marketing. • Partner closely with India GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth. • Translate global B2B narratives and launches into India-relevant, market-specific execution across enterprise, startup, developer, and partner motions. • Establish strong India marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting. • Act as the India voice for B2B marketing, bringing market insight, customer perspective, trust signals, and local nuance into global strategy discussions. • Build and scale foundational B2B marketing capabilities in India, with an eye toward future team growth and specialization.

• Manage a small number of key Oil & Gas accounts, developing and executing comprehensive account strategies. • Build trusted relationships with senior executives and business leaders across technology, operations, engineering, data, supply chain, safety, and other functions. • Lead enterprise prospects’ journeys from initial consideration and use-case identification through successful deployment and expansion. • Help customers identify and prioritize high-value applications of AI across upstream, midstream, downstream, and corporate functions. • Partner with solutions and research engineering to build and execute complex customer programs and projects. • Navigate complex enterprise environments involving legacy systems, operational technology, security requirements, data governance, regulatory considerations, and global stakeholders. • Own a consumption revenue target. • Manage consumption revenue forecasts. • Analyze key account metrics to create reports and provide insights to internal and external stakeholders. • Closely monitor the Oil & Gas industry landscape, including customers, competitors, partners, technologies, and emerging AI use cases, to contribute to product roadmap and other corporate strategies. • Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. • Support the recruitment and onboarding of other teammates. • Support the development of company culture.

• Coordinate engineering execution across civil, electrical, mechanical, utility, and construction disciplines. • Develop integrated engineering execution plans supporting self-build campus delivery. • Coordinate utility providers, permitting agencies, consultants, contractors, and EPC partners throughout project execution. • Lead engineering coordination for temporary power, permanent power, water systems, and supporting site infrastructure. • Support project budgeting, engineering schedules, risk management, and technical planning. • Coordinate engineering changes and resolve multidisciplinary design conflicts during construction. • Optimize construction sequencing and engineering workflows to improve project delivery. • Support infrastructure readiness activities leading into commissioning and operational handoff. • Track engineering risks, action items, and technical decisions while communicating project status to leadership. • Serve as the primary engineering interface between OpenAI technical leadership and external delivery partners. • Drive continuous improvement across engineering coordination, construction execution, and project delivery methodologies. • Support optimization of water usage, construction sequencing, and overall infrastructure efficiency across the self-build portfolio.