Openai jobs

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

Communications Manager, France & Southern Europe Paris, France, Paris, Île-de-France, France About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Communications team supports this mission by clearly and authentically explaining our technology, products, values, and approach to safely building and deploying powerful AI. We work across corporate, product, policy, research, go-to-market, and consumer communications to help people understand OpenAI's work and its impact. As OpenAI's presence grows in France and across Southern Europe, we are looking for a Communications Manager to help shape and execute high-impact communications programs for the French market. About the Role In this role you will help drive communications across several of OpenAI's most important European markets. You will work across product, B2B, developer, and mainstream communications, helping bring OpenAI's products and priorities to life for French and Southern Europe audiences. This role is designed for someone who can combine strategic judgment with hands-on execution. You will help localize global announcements, develop proactive country-specific stories, manage agency workstreams, build media relationships, and support communications around product launches, customer stories, developer initiatives, and broader public understanding of AI. The role will have a strong business and product communications center of gravity. In practice, many of OpenAI's product moments need to reach multiple audiences at once: business leaders, developers, policymakers and everyday users. You will help connect those narratives so that our communications in the region are clear, locally relevant, and consistent across audiences. This role is based in Paris,

Recruiter, AI/ML Research San Francisco, California, United States About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world's most exceptional talent under one roof to push the boundaries of what's possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI's talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world's leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI's research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: - Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. - Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. - Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. - Serve as a trusted advisor

Software Engineer, API Multicloud San Francisco, California, United States About the Team OpenAI's API Multicloud team is responsible for extending OpenAI's API platform into strategic cloud environments, starting with AWS . The team's mission is to distribute OpenAI's API broadly and safely by enabling key API technologies in cloud-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including cloud-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We're looking for a backend engineer who can quickly understand OpenAI's models, products, and systems, then adapt first-party deployments for other cloud platforms. You'll build backend services, APIs, SDK integrations, authentication flows, and cloud service infrastructure that let developers use OpenAI capabilities in the cloud environments where they already build. This role involves working across teams, sometimes embedded with partner product groups, to ship products quickly and across multiple platforms at the same time. It's a strong fit for engineers who have built developer tools, especially AI-powered tools, communicate clearly across technical boundaries, and can shape architectures that support different deployment models; experience building cloud services is a strong plus. In this role, you will: - Build backend and infrastructure systems that extend OpenAI's API platform into cloud-native environments, like AWS. - Design

Software Engineer, Developer Productivity San Francisco, California, United States, Seattle, New York City About the Team The Applied AI team safely brings OpenAI's technology to the world. We released ChatGPT, Plugins, DALL·E, and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. 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. We serve end-users directly through ChatGPT, and serve developers through our APIs, which power product features that were never before possible. About the Role The Engineering Acceleration team designs, builds and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to increase developer productivity. In this role, you will: - Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output. - Use our latest AI tools to re-think how we can be the most productive team in the industry. - Work closely with various teams within OpenAI to understand their workflows, challenges, and needs, and ensure the tools and systems built by the Engineering Acceleration team address these requirements. - Bring new features and research capabilities to the world by partnering with

Public Sector Partner SA - OpenAI , WWPS Global ISV Partners Arlington, Virginia, USA Amazon Web Services (AWS) is seeking an experienced Applied AI Solutions Architect to serve as the dedicated technical partner lead for OpenAI across the US public sector. In this role, you will work across federal civilian, defense, and intelligence community agencies - partnering with OpenAI, systems integrators, and internal AWS teams to design, prototype, and deploy generative AI solutions in regulated and classified environments. This is not a traditional SA role. We are looking for someone with the hands-on instincts of a forward-deployed AI engineer - someone who can rapidly prototype, evangelize emerging capabilities, publish reference architectures, and speak credibly with both developers writing code and executives making mission decisions. The pace of AI demands a builder who can keep up. This position requires that the candidate selected be a US Citizen and obtain and maintain an active Secret security clearance. Key job responsibilities • Serve as the primary AWS technical interface to OpenAI for all US public sector engagements, covering GovCloud, AWS Dedicated Clouds (ADCs), and commercial regions supporting government workloads. • Rapidly prototype and demonstrate OpenAI-on-AWS solutions for government customers - including RAG architectures, agentic workflows, fine-tuning pipelines, and multi-modal AI deployments on Amazon Bedrock and self-hosted infrastructure. • Architect AI solutions that meet the security, compliance, and data sovereignty requirements of US Government customers (FedRAMP High, IL4/5/6, ITAR, CMMC). • Publish reference architectures, blog posts, code samples, and technical content that accelerate partner

Machine Learning Scientist - Open Source Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You'll design, run, and share new methods and

Strategic Sourcing Leader, Go-to-Market San Francisco, California, United States About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement function plays a critical role in enabling OpenAI to deliver impact across research, product development, technology infrastructure, and services by helping the company scale responsibly, securely, and with strong commercial discipline. Our work sits at the intersection of innovation and execution. We partner closely with teams across OpenAI to translate rapidly evolving business needs into scalable, compliant, and economically sound external partnerships. As OpenAI continues to grow at pace, services sourcing is becoming increasingly strategic across the company. Every business unit relies on external service providers in different ways - to extend capacity, access specialized expertise, support operations, and accelerate execution. Done well, Procurement becomes a source of trust and momentum, helping OpenAI move faster with the right partners, stronger commercial outcomes, and the right level of protection. About the Role We are seeking an experienced Strategic Sourcing (GTM) Leader to lead strategic sourcing and commercial enablement for OpenAI's Go-to-Market organization across B2B and B2C channels. You will manage substantial and rapidly growing spend while shaping sourcing strategies and scalable commercial pathways across Media, Creative, Production, Influencer, Agency, Sponsorships, Analytics, Communications, and Event suppliers in support of high-impact global initiatives. You'll help evolve our GTM procurement function from reactive deal support into a speed-enabling, scalable commercial engine that delivers cost efficiency, launch readiness, and strong governance in a

Software Engineer, Model Inference San Francisco, California, United States About the Team Our Inference team brings OpenAI's most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they've never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: - Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. - Work alongside researchers to enable advanced research through awesome engineering. - Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. - Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. - Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: - Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. - Own problems end-to-end, and are willing to pick up whatever knowledge you're

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 Security 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 Security Software Engineer, you will design and build 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 supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: - Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. -

Data Engineer, People Innovation Labs San Francisco, California, United States About the Team At OpenAI, we're building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we're designing systems that give our People Team a significant edge by infusing OpenAI's models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We're defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We're seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs' internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics. One example of an employee-facing product you'll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs' work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down

Partner Manager, OpenAI for Government Washington, DC, Washington, District of Columbia, United States About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. About the Role We are seeking a Partner Manager to join OpenAI for Government's Partnerships team to help lead and scale OpenAI's most important partner relationships. This role sits at the center of partner management, cross-functional execution, and internal governance. You will help shape how OpenAI works with major platform, cloud, systems integration, and go-to-market partners to unlock durable commercial outcomes, strengthen delivery readiness, and improve coordination across internal and external teams. The right candidate will be able to manage a high-level of activity across a portfolio of high-priority strategic relationships, drive operational rigor, and serve as a connective layer across business, technical, legal, product, policy, and delivery stakeholders. This position is ideal for someone who combines strong partner instincts with exceptionally strong program management discipline and can translate executive alignment into tangible execution across complex, fast-moving relationships. In this role, you'll: - Own day-to-day management of a portfolio of key strategic partners, including Amazon Web Services (AWS) and other high-priority AI ecosystem relationships. - Serve as a central point of coordination for joint planning, governance, escalation management, and cross-functional execution. - Build and run partner operating cadences across leadership reviews, working teams, business development, technical alignment, and delivery stakeholders.

AI Machine Learning Engineer Houston, Texas posted: Posted 30+ Days Ago

Lead AI Engineer Bangalore (India)

Senior AI Agent Developer – Microsoft Copilot, OpenAI New York City Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: - The work we do and the innovation we drive - Our values of share, care a nd dare - Our borderless, global framework, which enables seamless collaboration The role We are seeking a highly skilled AI Agent Developer to design, build, and deploy intelligent AI agents integrated with an existing Microsoft Fabric environment. You will work across Microsoft Copilot technologies, OpenAI APIs to create scalable enterprise-grade AI solutions that automate workflows, surface insights, and enhance business operations. This role requires hands-on experience with LLM orchestration, enterprise data integration, prompt engineering, agentic workflows, and secure cloud-based AI deployments. This is a temporary, full time position onsite in New York City 5 days a week. Role responsibilities - Design and develop AI agents using: - - Microsoft Copilot Studio - - OpenAI APIs and Azure OpenAI - Integrate AI agents with existing Microsoft Fabric infrastructure including: - - OneLake - - Power BI - - Data Factory

AI Engineer Bangalore, India Office (BANGALORE)

AI Deployment Manager - Core Ecosystem, EDU San Francisco, California, United States, New York City 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 and institutions 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. In EDU, this includes enabling AI literacy, enabling campus-wide adoption, and supporting teaching, staff, learning, and research workflows. About the Role The EDU AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services to educational institutions 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 impact 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 faculty, students, and staff to technical practitioners and institutional leadership, 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 institutional readiness

Hardware Tools 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 You will develop and evolve the tooling ecosystem that hardware engineers rely on every day - from hardware compilers and IR transformations to simulation, debugging, and automation infrastructure. The work spans software engineering, compiler concepts, and practical hardware workflows, with direct impact on how quickly and effectively we design next-generation AI systems. You'll collaborate closely with architects, RTL designers, and verification engineers to translate real engineering friction into durable, scalable tooling solutions. In this role you will: - Build and improve the software tooling that makes hardware teams faster: compilation, IR transforms, RTL generation, simulation, debug, and automation. - Extend and integrate hardware compiler stacks (frontends, IR passes, lowering, scheduling, codegen to Verilog/SystemVerilog) and connect them to real design workflows. - Improve developer experience and reliability: reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure. - Work closely with designers and verification engineers to turn real pain points into durable tools. - Dive into RTL when needed:

Software Engineer, Monetization Product & Platform San Francisco, California, United States, Seattle 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 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 research breakthroughs into real-world systems at global scale. About the Role We're looking for an experienced Software Engineer to help build the core monetization and ads systems at OpenAI. This is a foundational role responsible for designing and implementing the infrastructure, APIs, and user-facing experiences that will power OpenAI's next-generation monetization products-including ads. You'll work across the full technical stack to architect, build, and ship 0→1 systems that are robust, safe, and scalable. You will collaborate deeply with Product, Design, and Research to define the future of monetized AI experiences and ensure these systems meet OpenAI's highest standards for safety, privacy, and policy alignment. This role is exclusively

Product Policy, Biosecurity Policy Manager San Francisco, California, United States About the Team The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI's services, including ChatGPT, Codex, GPTs, and the OpenAI API. This biosecurity-focused role will help define how OpenAI enables legitimate life sciences, biomedical, and public health work while reducing the risk that our products are misused to create biological harm. This role sits at the intersection of AI capability, life sciences practice, biosecurity, biosafety, and abuse prevention: helping researchers, institutions, and other legitimate users benefit from OpenAI's tools while setting clear boundaries against activity that could enable catastrophic biological misuse or other harmful bio-related outcomes. About the Role As a Product Policy Manager specializing in Biosecurity, you will combine deep biological, biosecurity, and policy judgment to guide how OpenAI evaluates, launches, and governs capabilities relevant to biology and the life sciences. You will work closely with product, engineering, research, safety, security, legal, operations, global affairs, and go-to-market teams to translate complex biological risk into practical product policy, implementation standards, access criteria, enforcement guidance, and launch decisions. The role requires understanding both sides of the bio equation: how legitimate researchers, clinicians, public health practitioners, and life sciences organizations use AI to advance beneficial work, and how malicious or irresponsible actors may attempt to misuse AI systems to lower barriers to harmful biological activity. Strong candidates may bring depth in one or more relevant domains, such as biosecurity, biosafety, synthetic biology, molecular biology, computational

Engineering Manager, Cooperative Systems Seattle, Washington, United States About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI's state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You'll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support,

Software 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 Software 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 that