Openai jobs

RE/RS, Data Understanding - Foundations San Francisco, California, United States About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact. - Be excited by OpenAI's empirical, collaborative approach to research. Nice To Have - Thoughtfulness about AI's impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. 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

Head of APAC Growth Markets, 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, 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 an exceptional leader to serve as Head of APAC Growth Markets, Global Affairs . This role will lead OpenAI's policy engagement, strategic partnerships, and regional campaigns across a portfolio of high-priority growth markets in Asia Pacific, including Southeast Asia and other markets selected based on strategic opportunity, regulatory developments, and company priorities. Based in Singapore and reporting to the Head of Asia-Pacific, Global Affairs, you will build trusted relationships with governments, regulators, and influential institutions; shape regional market strategies; and help create the policy and operating conditions for OpenAI's long-term success. This is a senior leadership role at the intersection of technology, geopolitics, regulation, and economic transformation. You will represent OpenAI externally, help shape AI policy debates and outcomes, and partner with governments and ecosystem leaders to advance responsible AI adoption across APAC growth markets. Key Responsibilities - Lead OpenAI's

Research Engineer - Speech & Realtime Models San Francisco, California, United States About the Team OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Speech & Realtime Models Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems. About the Role As a Research Engineer in OpenAI's Speech & Realtime Models Team, you will have the opportunity to work with some of the brightest minds in AI. You'll design and build state-of-the-art speech models (speech-to-speech, transcribing, text to speech, etc.) and help turn research breakthroughs into tangible into tangible OpenAI speech products. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. Some of our recent work: - Introducing gpt-realtime - Demo - gpt-realtime-1.5 - ASR, TTS - May 2026 - Advancing voice intelligence with new models in the API In this role, you will: - Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. - Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a

Head of GTM Partnerships, EMEA London, UK, London, Greater London, United Kingdom About the Team OpenAI's GTM Partnerships team builds and scales a strategic global ecosystem of partners that accelerates customer success, enables responsible AI adoption, and drives sustainable growth in support of OpenAI's mission. We work closely with Sales, Customer Success, Product, Marketing, Operations, Legal, and Executive Leadership to ensure our partners are aligned, enabled, and accountable for delivering meaningful customer outcomes. Our ecosystem spans global systems integrators, consulting firms, cloud providers, regional partners, managed service providers, and industry specialists that help organizations successfully deploy AI at scale. As OpenAI's enterprise business continues to grow, partnerships are becoming an increasingly important lever for customer adoption, implementation, and long-term value creation. About the Role Europe represents one of OpenAI's largest and fastest-growing enterprise markets. Organizations across the region are moving rapidly from experimentation to enterprise-wide AI transformation, creating significant demand for trusted partners who can help customers deploy, scale, and realize value from AI. We are seeking an experienced EMEA GTM Partnerships Lead to build and scale OpenAI's partner ecosystem across Europe. This leader will own OpenAI's regional partnerships strategy and execution, overseeing relationships with Global Systems Integrators (GSIs), consulting firms, regional systems integrators, advisory organizations, cloud ecosystem partners, and strategic services providers. This role will serve as the executive owner of OpenAI's EMEA GTM partner ecosystem and will be responsible for transforming partnerships into a force multiplier for OpenAI's sales, deployment, and customer success motions. Success in this role

Partner Director - AWS Alliance Partnership, APAC Singapore About the Team OpenAI's GTM Partnerships team builds a strategic global partner ecosystem designed to accelerate customer success, support secure AI adoption, and drive growth in support of OpenAI's mission. We collaborate closely across Sales, Technical Success, Product, Marketing, Operations, and leadership teams to turn strategic partnerships into durable commercial outcomes. Within that ecosystem, AWS is one of OpenAI's most strategic partners. Our opportunity extends beyond the direct alliance relationship: we aim to enable AWS teams and the surrounding services-partner ecosystem to build, deliver, and scale OpenAI-powered solutions on AWS infrastructure. Success requires close collaboration across AWS regional and country teams, AWS-focused SI practices, cloud architects, field sellers, delivery leaders, local OpenAI Partner Directors, and OpenAI GTM teams. It requires strong operating discipline, scalable co-sell execution, and the ability to translate a strategic alliance into measurable customer outcomes. About the Role We are hiring a Partner Director to shape and execute OpenAI's AWS alliance partnership across APAC. This person will own the direct regional relationship with AWS while mobilising AWS country teams and the broader services-partner ecosystem around high-value customer opportunities. This is a hands-on individual-contributor role operating through influence across APAC. You will work alongside local OpenAI Partner Directors to develop country-level strategies, drive joint account planning, coordinate AWS-related opportunities, and operationally manage selected cross-market initiatives. You will build and own the regional GTM strategy with AWS, translating the alliance into repeatable OpenAI and AWS solutions, field playbooks, governance structures, and

Machine Learning Engineer, Distributed Data Systems - Robotics San Francisco, California, United States About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You'll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We're looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. 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: - Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. - Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. - Partner with researchers to deeply understand requirements and translate them into production-ready systems. - Harden, optimize, and maintain critical data infrastructure systems

Researcher, Training San Francisco, California, United States 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, datasets 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. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini. About the Role As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. 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 San Francisco. 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 - Study, debug, and optimize both model

Principal Software Engineer, Infrastructure Security Remote - US, United States, San Francisco, Seattle, New York City 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 operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI's research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI's customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: - Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management),

Senior Software Engineer, Infrastructure Seattle, Washington, United States About the Team The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure that sits on the launch path for OpenAI products. Our systems help teams ship safely, evaluate product and model changes in production, and make high-confidence decisions from real-world usage. Statsig began as an independent company built around experimentation, feature management, and product analytics at scale. After Statsig joined OpenAI, the team began the next chapter: bringing that platform expertise and infrastructure into OpenAI as the experimentation and rollout foundation for every product we ship. This is infrastructure with a very direct product consequence. Teams working on ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and shared platform systems depend on Statsig to evaluate configurations, move traffic safely, ingest experiment data, serve analytics, and roll changes forward or back when production reality demands it. We are at a critical point in the platform journey. Adoption is accelerating quickly across OpenAI, and the systems that were already important are becoming load-bearing for how the company launches. The infrastructure needs to stay fast under sharply increasing evaluation volume, reliable when more services depend on it, observable enough to debug quickly, and efficient enough to support OpenAI-wide scale. Recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency across important services. The next phase is to make those gains systematic: a platform that can absorb rapidly

Research Engineer/Research Scientist, RL/Reasoning San Francisco, California, United States About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. About the Role As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models. We're looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding. 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. You might thrive in this role if: - You love being on the cutting edge of RL and language model research. - You're a self-starter who takes initiative and ownership of ideas, driving them to completion. - You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. - You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. - You're comfortable diving into a large ML codebase to debug and improve it. - You have a deep understanding of machine learning and machine learning applications. About OpenAI OpenAI is

AI Support Engineer - San Francisco (Weekend Shift) San Francisco, California, United States About the Team OpenAI's User Operations team shepherds our customers' adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You'll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI

Head of Growth GSIs - Cognizant Infosys & Wipro San Francisco, California, United States About the Team OpenAI's GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI's mission toward AGI. We work cross-functionally across Product, Engineering, Security, Legal, and GTM to deliver strong partner outcomes through disciplined strategy and execution. This role sits within Partnerships/GTM and will lead OpenAI's strategy and execution with Global Systems Integrators such as Cognizant, Infosys and Wipro. These partnerships are critical to helping enterprise customers adopt, implement, and scale OpenAI's products through trusted advisory, transformation, and delivery channels. This role will be hybrid based in our San Francisco office. About the Role We are hiring a Head of Growth GSIs - Cognizant Infosys & Wipro to lead and scale OpenAI's partnerships with Global Systems Integrators. You will be responsible for building strategic relationships with leading GSI partners, translating shared priorities into scalable partnership motions, and driving customer adoption through joint go-to-market, solution development, and delivery enablement. This leader will operate as the single accountable owner for a portfolio of high-impact GSI partnerships, setting direction, establishing operating cadence, and aligning internal and partner stakeholders to deliver measurable business outcomes. Success in this role requires strong executive presence, sound judgment, and the ability to navigate complex, global, cross-functional partnerships across GTM, product, solutions, legal, security, and partner organizations. In this role, you will: - Own and grow OpenAI's strategic partnerships with

AI Support Engineer - Singapore Singapore About the Team OpenAI's User Operations team shepherds our customers' adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You'll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the

Backend Software Engineer (Evals) San Francisco, California, United States, Seattle About the Team The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI. TLDR: this team leverages OpenAI technology to improve OpenAI, and you'll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the Role We're looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI's support automation. This is a deeply technical and highly cross-functional role where you'll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will: - Design eval pipelines that are reliable, reproducible, and extendable - Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation - Design,

Senior Technical Advisor, National Security Policy, Global Affairs Washington, DC, Washington, District of Columbia, United States, San Francisco, Remote - US, New York City, Seattle About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. We believe that achieving this goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials, technical experts, civil society, and the broader AI policymaking community. We ensure that insights from policymakers and external stakeholders inform our work and, in collaboration with colleagues across OpenAI, seek to shape policy so that it aligns with and supports our mission. About the Role This position reports to OpenAI's Head of National Security Policy and will serve as a senior individual contributor at the intersection of national security policy, AI safety, and technical AI governance. This person will help OpenAI anticipate and navigate high-stakes policy questions related to increasingly capable AI systems, especially where technical, safety, national security, and societal considerations intersect. A core requirement for this role is established trust and credibility within the AI safety, research, and governance communities. Technical fluency and national security experience are also a significant plus. (Washington, DC or San Francisco preferred; other U.S. locations considered) Key responsibilities include: - Serve as a senior technical-policy advisor to the National Security Policy team on frontier AI safety and governance issues, including CBRN, cyber, autonomous agents, automated AI R&D, evaluations, risk thresholds,

AI Deployment Manager - San Francisco San Francisco, California, United States About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI's technology into durable capability - through structured training, technical enablement, and services. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI's product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI's product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI's products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes

Program Manager, Human Data San Francisco, California, United States About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world This role is based in our San Francisco HQ. In this role, you will: - Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world - Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data - Gather requirements, write instructions, define success criteria, and calibrate the AI trainers - Use internal tooling to assess labeled data and provide feedback to AI trainers - Think

Senior Software Engineer, Product Seattle, Washington, United States About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI's Bellevue office, we are

AI Deployment Manager Singapore About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI's technology into durable capability - through structured training, technical enablement, and services. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI's product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI's product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI's products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by

Software Engineer, Research - Human Data San Francisco, California, United States About the Team OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences - the Human Data team is at the heart of that effort. The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life - from experimental ideas to production-ready feedback loops. About the Role We're looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You'll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world. We're looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment. 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: - Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security. -

Head of Ads Enterprise Marketing San Francisco, California, United States About the Team OpenAI's mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI's products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We are hiring a Head of Enterprise Ads Marketing to define and scale OpenAI's global marketing strategy for enterprise advertisers, agencies, and strategic brand partners. This leader will own how advertisers understand, evaluate, adopt, and grow with OpenAI's advertising solutions. This is a highly strategic and hands-on leadership role where you will shape the narratives that position OpenAI as a premium advertising platform for the world's marketers while building the content, thought leadership, events, and demand programs that drive pipeline and long-term strategic growth. You will partner closely with Sales, Partnerships, Product, Finance, Legal, Communications, Research, and Data Science to help establish OpenAI as a trusted leader in the future of AI-powered advertising. This role is ideally based in San Francisco, CA, with a hybrid schedule of three days per week

AI Deployment Engineer - Tokyo Tokyo, Japan, Tokyo, Japan About the Team The Technical Success team is responsible for ensuring developers and enterprises are successful in building scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying 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 looking for a technically savvy and business-minded AI Deployment Engineer to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. This role is based in Tokyo, Japan. 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: - Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. - Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. - Experiment and prototype solutions with and for your customers. - Forge and manage relationships with our customers'

State Government Affairs Lead (Northeast Region) New York City, New York, United States, Washington, DC About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Achieving that goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Our Global Affairs team builds authentic, collaborative relationships with public officials and the policymaking community to inform and support our shared work. We ensure that insights from policymakers inform our efforts and - in collaboration with colleagues and external stakeholders - advance regulation, industry standards, and the safe, beneficial development of AI tools. About the Role As a State Government Affairs Lead, Northeast Region , you will be part of a team leading OpenAI's engagement with state and local governments across the Northeast, including New York, Pennsylvania, and other key states throughout the region. Reporting to the Head of U.S. State Policy and Partnerships, you will develop and maintain relationships with elected officials, agency leaders, local government representatives, and other key stakeholders across your assigned states. You will serve as a primary representative of OpenAI's policy interests in the Northeast and help shape regional strategies that advance OpenAI's broader policy goals and mission. OpenAI releases industry-leading research and tools, and you will face new challenges as the impact of cutting-edge generative AI technologies continues to be explored and as the needs of the organization evolve. Day-to-day work may include shaping strategic initiatives and policy documents, preparing OpenAI leaders for engagements with government

AI Success Engineer - Tokyo Tokyo, Japan, Tokyo, Japan About the Team OpenAI's AI Success Engineer team partners with the world's most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI's most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI's ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact. In this role, you will: - Lead the technical relationship for post-sale