Openai jobs

Safety Response Operations Lead Singapore About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI's products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalation and delivery arm of OpenAI's safety operations, ensuring that our products remain safe and aligned with policy while enabling timely, empathetic, and consistent user support. About the Role The Global Safety Response Operations Lead is a hands-on team lead who both manages a regional Safety Response team and personally handles high-risk safety cases. This role combines frontline safety work with people leadership, operational ownership, and cross-functional coordination. You will lead a team of Safety Response Analysts who handle OpenAI's most sensitive and high-impact cases, while also personally contributing to casework for complex, high-risk, or high-visibility issues. You will own the execution of high severity escalations in your region and ensure proper execution and communication to cross functional stakeholders You will be accountable for ensuring your region consistently meets utilization, quality, and SLA targets while serving as the operational interface with Product,

Staff Computer Vision AI/ML Engineer 2 Locations posted: Posted 2 Days Ago

Engineering Manager, Identity Infrastructure San Francisco, California, United States About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI-held to an exceptionally high bar for availability, security, and latency-and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You'll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. We're looking for people who combine strong infrastructure depth with people leadership-someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems. 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. What You'll Do: - Build, lead, and develop a high-performing engineering team.

Signal Integrity Engineer San Francisco, California, United States About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for signal integrity (SI) system design engineers who have a deep expertise in the SI area, and hold strong system level design knowledge 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: - Lead system signal integrity (SI) design for AI supercomputer product in the data center application. - Collaborate with chip, package, boards, rack and system engineers, design partners to drive system SI design and develop innovative interconnect and high-speed technologies - Identify and evaluate new technologies and methodologies to improve signal and power integrity in product design, and contribute to the development of new products and technology by providing expertise in signal integrity - Perform simulation and modeling to identify and troubleshoot signal integrity issues - Lead system interconnect design, bring up and qualification - As the scope of the role and team

Senior AI/ML Engineer Amsterdam, Netherlands posted: Posted 30+ Days Ago

Solutions Engineer, Private Equity San Francisco, California, United States About the Team The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a solutions engineer to partner with our largest Private Equity 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 Private Equity and Large Enterprise Sales, Security, and Product teams. This role is based in San Francisco, CA or New York, NY. 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: - Deliver an exceptional pre-sales customer experience for large Private Equity prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI's suite of products can meet customers' business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases,

Senior AI Engineer Dublin - Charlotte posted: Posted 10 Days Ago

Global Detection and Response Lead San Francisco, California, United States, Seattle, New York City About the Team OpenAI's Security organization exists to enable safe, responsible innovation at scale. As our systems, infrastructure, and research footprint grow, we invest deeply in world-class security capabilities that protect our people, products, and users without slowing progress. This organization safeguards OpenAI's environments by building advanced detection systems, driving real-time response capabilities, scaling telemetry and logging infrastructure, and delivering actionable threat intelligence to stay ahead of adversaries. About the Role We are seeking a Global Detection and Response Lead to own and scale OpenAI's cybersecurity detection and response operations. In this role, you will set the strategy and drive execution for security monitoring, incident response, recovery, and post-incident improvements across our global infrastructure. You will be a hands-on leader with deep technical credibility and strong operational instincts. You will build and mentor high-performing teams, partner closely with Infrastructure, Research, Product Security, Enterprise Security, IT, and Engineering, and ensure that detection and response capabilities are embedded by design into the systems that power OpenAI. This is a strategic and practical leadership role requiring deep technical credibility, operational rigor, and the ability to build high-performing teams in a fast-moving environment. In this role, you will: - Oversee global detection and response operations, including continuous monitoring, triage, investigation, containment, and remediation of security events across a diverse set of networks and infrastructure. - Lead, mentor, and directly manage several small teams of senior engineers across observability, detection and

Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: - Build, profile and optimize our training and inference framework. - Post-train state of the art models, developed both internally and from the community, to

Researcher, Training - London London, UK, London, Greater London, United Kingdom About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. 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, prototype and scale up new architectures to improve model intelligence - Execute and analyze experiments autonomously and collaboratively -

Solutions Engineer, Core Digital Native San Francisco, California, United States About the Team The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a solutions engineer to partner with our Digital Native 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 Digital Native Sales, Security, and Product teams. This role is based in San Francisco, CA or New York, NY. 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: - Deliver an exceptional pre-sales customer experience for Digital Native prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI's suite of products can meet customers' business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and

Compute & Infrastructure Accounting Manager San Francisco, California, United States About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Compute & Infrastructure team shares financial insights and partners with internal and external business stakeholders to manage the accounting and financial reporting for OpenAI's rapidly evolving infrastructure investments. The team supports a broad and increasingly complex portfolio of compute and infrastructure arrangements, including cloud computing, data centers, servers, equipment, rack financing, colocation arrangements, and other AI infrastructure deployments. We are responsible for ensuring financial accuracy, operational scalability, and informed decision-making as OpenAI continues to invest in advanced technologies and expand its infrastructure footprint. About the Role We are looking for an experienced and technically skilled accounting professional to manage the accounting and financial reporting for OpenAI's compute and infrastructure lease-related activities. In this role, you will own complex lease accounting matters across data centers, servers, equipment, and other infrastructure arrangements, while helping operationalize new programs as the organization continues to scale. You will evaluate unique and highly structured transactions, assess their accounting implications, and translate technical conclusions into clear recommendations for leadership. You will also work cross-functionally to design the processes, systems, controls, and data solutions required to support accurate and scalable accounting operations. This role requires a strong command of US GAAP, particularly lease accounting and consolidation, as well as the ability to operate effectively and fluidly in an evolving environment where new infrastructure programs may not

Senior AI Engineer San Jose (CA) posted:

Sales Development Manager, Enterprise (AMER) San Francisco, California, United States About the team OpenAI's Enterprise Go-To-Market organization helps the world's largest companies adopt and scale our AI platform across their business-from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion-where technical curiosity becomes executive engagement and OpenAI's enterprise relationships begin. About the role We are hiring a Sales Development Manager, AMER to lead a team of SDRs supporting our Large Enterprise business across North America. Reporting into Sales Development leadership, this role will be responsible for coaching and developing a high-performing team focused on generating qualified pipeline and creating strategic enterprise opportunities. This is a foundational front-line leadership role within OpenAI's enterprise GTM organization. You will help define how we engage prospective customers, convert product and developer interest into enterprise conversations, and scale repeatable outbound and inbound motions across some of the world's largest organizations. You will partner closely with Sales, Marketing, Solutions Engineering, Partnerships, and Strategy & Operations to drive pipeline generation and help shape the future of OpenAI's enterprise growth engine. In this role, you will: - Lead, coach, and develop a team of SDRs supporting Large Enterprise,

AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today

Product 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 product mindset software engineers to join the GTM Innovation team. As a product engineer on this 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

Senior AI Data Engineer Sofia, Bulgaria posted: Posted 30+ Days Ago

APAC Strategic Initiatives Lead, Global Affairs Singapore About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. Achieving this goal requires deep engagement with policymakers, regulators, institutions, and communities shaping the future of AI. The Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to ensure that external perspectives inform our work and that policy frameworks support the safe and beneficial development of AI. We work closely with research, product, policy, legal, communications, and go-to-market teams to anticipate emerging issues, shape responsible policy outcomes, and advance OpenAI's mission around the world. About the Role OpenAI is seeking a senior, highly strategic, and execution-oriented APAC Strategic Initiatives Lead to join the Global Affairs team. This is a senior individual contributor role based in Singapore, reporting to the Head of Asia-Pacific, Global Affairs. This role will help advance OpenAI's APAC regional strategy by driving execution of priority regional initiatives, partnerships, and campaigns. You will work closely with country leads, functional partners, and company leadership to turn strategy into clear plans, coordinated execution, and measurable outcomes. The role sits at the intersection of policy, partnerships, campaigns, executive engagement, and cross-functional execution. You will bring structure to ambiguous opportunities, drive accountability across complex workstreams, and help ensure that APAC initiatives are delivered with clarity, speed, and discipline. Key Responsibilities - Own end-to-end execution of select APAC strategic initiatives, ensuring clear strategy, sequencing, stakeholder alignment, delivery, and measurement. - Partner with the

Associate General Counsel, Hardware IP San Francisco, California, United States 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

Machine Learning Architect 5 - GenAI Experiences 2 Locations posted: Posted 30+ Days Ago

AI Emerging Risks Analyst San Francisco, California, United States About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. 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 We are looking for an AI emerging risks analyst to help us understand potential harms and misuse of AI at the frontier in a time of rapid, sustained change. From known threat actors misusing new technologies to new threats enabled by new technologies, we seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. In this role, you will help to provide strategic-level perspective on a range of evolving risk areas, helping to produce actionable understanding of frontier AI risks relevant to OpenAI's platforms, surfaces, and broader business interests. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem scanning, competitive benchmarking, and external narrative/risk sense-making. Your work will help to inform cross-functional partners

Solutions Engineer, Core Digital Natives San Francisco, California, United States About the Team The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a solutions engineer to partner with our Digital Native 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 Digital Native Sales, Security, and Product teams. This role is based in San Francisco, CA or New York, NY. 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: - Deliver an exceptional pre-sales customer experience for Digital Native prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI's suite of products can meet customers' business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and

AI Training - Machine Learning Specialist (EST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and

Data Scientist, FinEng San Francisco, California, United States About the Team OpenAI's Financial Engineering (FinEng) team powers how revenue flows through our products-pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth. About the Role As Manager of Data Science for Financial Engineering, you will lead the measurement, experimentation, and optimization strategy that powers OpenAI's monetization infrastructure. You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally-balancing conversion, risk, cost, reliability, and user experience. You will build and lead a high-leverage team responsible for establishing source-of-truth metrics, scaling experimentation, and driving executive-level revenue insights. This role is both strategic and deeply technical: you'll shape the long-term financial data architecture while guiding day-to-day experimentation that directly impacts revenue and international scale. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Own the FinEng Measurement Strategy - Define the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing. - Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability. - Partner with Finance to ensure alignment between product metrics and financial reporting. Lead and Scale Experimentation - Build and oversee the