Openai jobs

Industrial Security CSSO/CPSO, Washington DC Washington, DC, Washington, District of Columbia, United States About the Team The Corporate Security team is responsible for the security and protection of all OpenAI employees and executives. We are committed to creating and maintaining a secure environment that allows our team members to focus on their work without fear of harm or disruption. About the Role OpenAI is seeking an Industrial Security CSSO/CPSO to help develop and scale a world-class industrial security program across multiple locations, including Washington DC and San Francisco. In this role, you will be responsible for building and managing secure facilities that enable work with Government partners , overseeing government-required personnel security programs, and ensuring strict compliance with U.S. government regulations. You will collaborate closely with government partners, contractors, and internal teams to safeguard sensitive projects and R&D initiatives. This role is ideal for someone who combines deep expertise in US Government industrial security programs with hands-on program execution and experience. In this role, you will: - Support tactical operations of the OpenAI's industrial security program, partnering closely with GRC, facilities, and leadership to ensure compliance with NISPOM, ICD 705, DoD/IC regulations, and other federal requirements to enable rapid execution on OpenAI for Government's strategic programs. - Support multi-year security roadmaps to support OpenAI Public Sector projects, accredited facilities, and sensitive R&D initiatives, balancing the agile nature of our business with the timelines and requirements associated with US Government contracts. - Be on the team supporting classified facilities, SOPs, Fixed

Strategic Sourcing Lead, Technology (Ads and Consumer Verticals) San Francisco, California, United States About the Team OpenAI Finance ensures the organization is commercially, operationally, and structurally set up to deliver on OpenAI's mission at global scale. The Strategic Sourcing team partners with Product, Engineering, Security, Legal, and Finance to ensure OpenAI acquires the critical external technology, platforms, and services needed to launch new products, operate safely, and monetize globally with speed, resilience, and commercial discipline. This role is based in San Francisco (hybrid, 3 days/week in office). About the Role We are hiring a Strategic Sourcing Lead (Ads & Consumer Verticals) to manage the commercial execution and vendor strategy across this expanding footprint. This role will serve as the day-to-day commercial owner for a growing portfolio of vendors across brand safety, measurement and attribution, fraud prevention and invalid traffic detection technologies, health and finance applications, enabling OpenAI to launch new capabilities, enter new markets, and scale monetization without accumulating excessive cost, risk, or operational fragility. You will report to the Technology Strategic Sourcing Lead (Product Ecosystem & Monetization) and work closely with Product, Engineering, Security, Legal, Growth, and Finance leaders to translate product roadmaps into scalable, defensible vendor strategies. In this role, you will: - Own sourcing and commercial strategy across OpenAI's ads technology stack and consumer verticals with a focus on health and finance. - Run high-velocity, high-complexity deals end-to-end: from vendor strategy and RFPs through negotiation, security review, contracting, and go-live. - Partner with Product and Engineering to

AI Trainer CHN - SHANGHAI posted: Posted 30+ Days Ago

Researcher, Computer Use - Agent Post-Training San Francisco, California, United States About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, Computer Use, you will teach models to operate computers. You will help train models that can navigate browsers and desktops, use tools and applications, reason through complex workflows, collaborate with users and other agents, and complete long-horizon tasks with reliability and judgment. This work sits at the intersection of frontier model training, product behavior, evaluation, and systems engineering, and will directly shape the computer-use capabilities shipped in OpenAI's next generation of agents. Currently, our models are the best in the world at this

Business Intelligence Engineer Europe (remote) | Remote ABOUT US Oh is building the OpenAI of the spicy content industry. We're a company at the forefront of the generative AI revolution, combining cutting-edge models developed in-house, with proprietary data sources and distribution via our consumer platform, OhChat, and market-leading API. OhChat now has over 250,000 users and hosts Digital Twins of household names, and our API is integrated into some of the biggest platforms in the adult content space, distributing those Digital Twins across the internet. Backed by $10M in venture funding, we're quickly establishing ourselves as the dominant, essential layer for adult creators and platforms to adopt AI. Our aim is for OhChat to be the leading “AI OnlyFans” platform and our API to be the go-to for all adult platforms wanting the technology and our Digital Twins' IP, in a combined package - ultimately we aim to be the most dominant AI player in the entire adult industry, ahead of expansion to adjacent industries such as companionship and more general creator industry. Websites: oh.xyz https://oh.xyz & ohchat.com http://www.ohchat.com We're a fast-moving team building next-generation products powered by data and visual AI. We're looking for a Business Intelligence Developer who can own our data stack end to end, from pipelines to dashboards to actionable insight. You'll join a small, sharp, and ambitious team that delivers. No red tape. No politics. Just clear ownership, collaboration, and a shared focus on using data to drive the business forward. What you'll do: 1️⃣

Software Engineer, Data Infrastructure - Research San Francisco, California, United States About the Team The Workload team is responsible for designing and running OpenAI's LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life. About the Role We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI's next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume. In this role, you will: - Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory. - Build proactive testing and scale validation pipelines for dataset loading at GPU scale. - Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience. - Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt. - Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized. - Debug and resolve

Software Engineer, Youth Well-Being San Francisco, California, United States About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways-especially for youth and families. We work across OpenAI's entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI's mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We're looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You'll help define how teens and guardians engage with OpenAI products-ensuring those experiences are safe, compliant, and empowering. You'll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You'll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact, 0→1 opportunity to set the standard for how families interact with generative AI. In this role, you will: - Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT. - Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs. - Design and

AI Deployment Engineer - Startups Munich, Germany, Munich, Germany About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI's technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require proficiency in German for this role. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI's research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should

Security Engineer, Detection and Response San Francisco, California, United States, Seattle, New York City, Remote - US About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI's technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer on Detection & Response, you'll help protect OpenAI's most sensitive assets- including our intellectual property, customer data, and the infrastructure that supports them- by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You'll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. In this role, you will: - Build and evolve Detection & Response capabilities across OpenAI's infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. - Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. - Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture)

Product Manager, Financial Engineering San Francisco, California, United States About the Team Our team turns OpenAI's latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale. OpenAI's Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI's mission. About the Role We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams. This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI's growing product portfolio

Software Engineer, Ad Formats San Francisco, California, United States About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring new ad experiences into real-world systems across OpenAI surfaces at global scale, including thoughtfully integrating them into the core ChatGPT experience. About the Role We're looking for an experienced Software Engineer to help build the creative rendering and presentation layer of OpenAI's ads ecosystem. This is a foundational role responsible for defining how ads are structured, rendered, and delivered across different surfaces, platforms, and media types. You'll work across the full technical stack to build infrastructure and tooling for new ad formats, including text, image, video, native, conversational, and interactive experiences. You will help ensure these formats render reliably, perform efficiently, and feel natural within the core ChatGPT

Developer Experience Engineer (Mandarin-Speaking) Singapore 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-5.5 and GPT-Image-2 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, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI's APIs and products for developers. You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex. We're looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers. In this role, you will: - Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents. - Create high-quality technical content, including tutorials, blog posts, videos, and code samples, to educate and

Android Engineer, Applied Foundations San Francisco, California, United States About the Team OpenAI's Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible - from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior Android engineer on OpenAI's Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI's products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You'll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI's mobile ecosystem at global scale. You might thrive in this role if you: - Have 4+ years of professional software engineering experience. - Have a proven track record of building high-quality Android applications in production. - Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. -

AI Engineer Toronto, ON, Canada AI Engineer

Senior Data Engineer, Core Experimentation Seattle, Washington, United States About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: - Design, build and

Strategic Deals San Francisco, California, United States About the Team The Industrial Compute team is responsible for building and scaling the infrastructure foundation that powers OpenAI's research and products. The team works across compute strategy, infrastructure planning, hardware partnerships, and capacity management to ensure OpenAI can meet rapidly growing training and inference demands with resilient, efficient, and future-looking infrastructure systems. About the Role As a Strategic Deals Leader , you will help shape OpenAI's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. Operating at the intersection of infrastructure strategy, technology evaluation, commercial partnerships, and market development, you will identify and execute opportunities that expand OpenAI's access to the compute, infrastructure, and technologies required to support frontier AI systems. You will work closely with engineering, infrastructure, finance, and executive leadership teams to evaluate emerging technologies, develop ecosystem strategies, assess build-versus-buy decisions, and cultivate strategic relationships across hardware vendors, cloud providers, data center operators, and the broader AI infrastructure ecosystem. We're looking for people who combine deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, technical curiosity, and the ability to build partnerships across a rapidly evolving industry landscape. In this Role, You Will - Develop and execute strategies that expand OpenAI's access to compute, infrastructure, and emerging AI technologies. - Evaluate strategic opportunities across hardware platforms, cloud providers, infrastructure partners, and ecosystem participants. - Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term compute and ecosystem strategies.

Software Engineer, Caching Infrastructure San Francisco, California, United States About the Team At OpenAI, we're building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We're looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: - Design, build, and operate OpenAI's multi-tenant caching platform used across inference, identity, quota, and product experiences. - Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost. - Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs. You Might Thrive In This Role If You: - Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems. - Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning. - Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems. -

ChatGPT Performance Engineer San Francisco, California, United States, Seattle, Remote - US, New York City About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You'll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: - Analyze and optimize performance across application, middleware, runtime, and infrastructure layers-networking, storage, Python runtime, GPU utilization, and beyond. - Develop tooling and metrics that provide deep observability into system performance. - Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements. - Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale. - Lead

Backend Software Engineer, GTM Innovation San Francisco, California, United States About the Team The GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions - reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the Role We're looking for backend software engineers with a product mindset to join the GTM Innovation team. You'll help OpenAI meet the world at scale. You'll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI's API platform. You'll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: - Build high-impact applications and tools that accelerate OpenAI's go-to-market efforts - Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain - Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them - Apply OpenAI's models in novel ways to solve real-world customer and internal workflow problems - Translate learnings into feedback for Applied and Research teams to inform

Industry Product Marketing Manager San Francisco, California, United States About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As an Industry PMM, you will help define how OpenAI brings frontier AI to priority industries. This role sits at the center of OpenAI's industry marketing motion, helping customers understand where AI can create practical value, improve workflows, and support responsible adoption. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior industry leaders understand how OpenAI models, products, and workflows can support meaningful work in either Gov & Edu, CPG & Retail, or Healthcare & Life Science. We're looking for a product marketer who can combine strategic narrative, technical curiosity, enterprise GTM judgment, and program leadership. The right person can turn fast-moving capability into clear positioning, credible assets, and practical field execution. 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

AI Lab - Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

Product Marketing Manager, Cybersecurity San Francisco, California, United States About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As Product Marketing Manager, Cybersecurity, you will help define how OpenAI brings frontier AI to cyber defenders. This role sits at the center of Daybreak, OpenAI's cybersecurity initiative to help defenders see risk earlier, act sooner, and build software that is resilient by design. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior security leaders understand how OpenAI models, Trusted Access for Cyber, Codex Security, and related workflows can support real defensive work. We're looking for a product marketer who can combine strategic narrative, technical curiosity, enterprise GTM judgment, and program leadership. The right person can turn fast-moving capability into clear positioning, credible assets, and practical field execution. 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.

Senior AI Machine Learning Scientist 3 Locations posted: Posted Yesterday

Fraud & Risk Analyst Dublin, Ireland, Dublin, Leinster, Ireland About the Team - Account & Platform Integrity The Account & Platform Integrity team protects OpenAI's ecosystem from fraud, impersonation, abuse, scams and account-level threats. We help ensure that the people and organizations using OpenAI are legitimate, that access is used appropriately, and that bad actors are prevented from exploiting our platform. We operate at the intersection of fraud prevention, identity, access, compliance, and abuse detection. Our team partners closely with Product, Engineering, Legal, Go-To-Market, Support, and Security to identify emerging threats, investigate suspicious behavior, and build durable controls that protect OpenAI's users, revenue, and reputation across all of Open. About the Role - Risk and Fraud Analyst We're hiring a Risk and Fraud Analyst to help safeguard OpenAI by investigating, validating, and monitoring customer accounts and organizations. You will focus on identity, legitimacy, and risk, ensuring accounts are properly verified, access is appropriate, and emerging threats are detected early. You'll handle sensitive and high-stakes investigations involving fraud and scams, impersonation, sanctions, misuse of access, and coordinated abuse. Your work will directly influence who can use OpenAI's products and how safely we can scale. Note: This role may involve reviewing sensitive, confidential, or disturbing content. Location: London, UK or Dublin Ireland (Hybrid - 3 days in office) What You'll Do Protect the Platform - Review and verify customer identities, organizations, and ownership structures - Investigate suspicious or high-risk accounts (e.g., fraud, impersonation, shell companies, abuse of API or ChatGPT access) -