Product And Privacy Counsel in United States

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

By applying to this role, you will be considered for Research Engineer roles across all teams at OpenAI. About the Role As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future. We expect you to: Have strong programming skills Have experience working in large distributed systems Be excited about OpenAI’s approach to research Nice to have: Interested in and thoughtful about the impacts of AI technology Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training and eval environments: fi

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role Snowflake is seeking a seasoned U.S. Public Sector attorney to support Snowflake’s U.S. State, Local and Higher Education business (“SLED”). This role will serve as a key legal partner to our rapidly growing SLED organization negotiating complex transactional arrangements and advising on regulatory and compliance matters. This is a high-impact, high-visibility position on a world-class legal team, reporting to the Senior Director, Associate General Counsel. The ideal candidate brings sold expertise in SLED contracting and compliance, have a background negotiating SaaS transactions and the ability to operate effectively in a fast-paced, scaling environment. This is a hybrid role based in McLean, VA or Atlanta, GA. Key Responsibilities Lead negotiation, drafting, and management of U.S. State, Local and High Education (“SLED”) agreements, including listing and management of State framework agreements, SaaS agreements, professional services agreements (PSAs), statements of work (SOWs) and partner agreements, Advise on U.S. State and Local government procurement laws and regulations, Support the full government sales lifecycle, including reviewing RFPs/RFIs, identifying risk, and ensuring compliant proposal submissions Partner cross-functionally with sales, produc

Senior Product Dev Rel Engineer - DSX — US, CA, Santa Clara. Apply via Workday.

Technical Program Manager, Silicon Product Definition — US, CA, Santa Clara. Apply via Workday.

Work Flexibility: Onsite Como Plastic Processing Operator III , serás responsable de operar, configurar y monitorear maquinaria de producción, asegurando el cumplimiento de los estándares de calidad, seguridad y productividad establecidos. ¿Qué harás? Opera equipos de procesamiento de plásticos, incluyendo máquinas automáticas y semiautomáticas, para cumplir con los objetivos de producción y calidad. Configura, inicia y monitorea equipos de manufactura siguiendo hojas de proceso, procedimientos establecidos e instrucciones operativas. Realiza cambios de herramientas, moldes y ajustes de configuración para garantizar las dimensiones y especificaciones requeridas del producto. Controla parámetros del proceso, como temperatura, presión y velocidad, y ejecuta ajustes rutinarios para mantener una producción consistente. Inspecciona piezas mediante controles visuales e instrumentos de medición para verificar el cumplimiento de estándares dimensionales y de calidad. Registra con precisión datos de producción, desperdicio, ajustes de proceso y actividades básicas de mantenimiento. Ejecuta mantenimiento preventivo básico y reparaciones menores, escalando incidencias complejas al equipo de mantenimiento correspondiente. Manipula y empaqueta componentes terminados, manteniendo el cumplimiento de los procedimientos de seguridad, calidad y uso de equipos de protección personal. ¿Qué necesitas? Requerido: Diploma de cuarto año completo o equivalente. Experiencia mínima de 2 años en operación de maquinaria de manufactura

Work Flexibility: Onsite Como Plastic Processing Operator III , serás responsable de operar, configurar y monitorear maquinaria de producción, asegurando el cumplimiento de los estándares de calidad, seguridad y productividad establecidos. ¿Qué harás? Opera equipos de procesamiento de plásticos, incluyendo máquinas automáticas y semiautomáticas, para cumplir con los objetivos de producción y calidad. Configura, inicia y monitorea equipos de manufactura siguiendo hojas de proceso, procedimientos establecidos e instrucciones operativas. Realiza cambios de herramientas, moldes y ajustes de configuración para garantizar las dimensiones y especificaciones requeridas del producto. Controla parámetros del proceso, como temperatura, presión y velocidad, y ejecuta ajustes rutinarios para mantener una producción consistente. Inspecciona piezas mediante controles visuales e instrumentos de medición para verificar el cumplimiento de estándares dimensionales y de calidad. Registra con precisión datos de producción, desperdicio, ajustes de proceso y actividades básicas de mantenimiento. Ejecuta mantenimiento preventivo básico y reparaciones menores, escalando incidencias complejas al equipo de mantenimiento correspondiente. Manipula y empaqueta componentes terminados, manteniendo el cumplimiento de los procedimientos de seguridad, calidad y uso de equipos de protección personal. ¿Qué necesitas? Requerido: Diploma de cuarto año completo o equivalente. Experiencia mínima de 2 años en operación de maquinaria de manufactura o procesamiento industrial. Conocimiento básico de interpretación de planos, diagramas o esquemas técnicos. Capacidad para utilizar herrami