Responsable Production Jobs

The Enablement Delivery Specialist is a pivotal execution-focused role within the GTM Enablement organization, responsible for the end-to-end orchestration of world-class training experiences. Reporting to the Manager of Delivery, this role ensures that every training event, from foundational bootcamps to advanced skill-building workshops, is delivered with the logistical precision and professional excellence required to drive field performance. You will act as the "Producer" and "Emcee" for our regular and ad-hoc in-person and virtual events, serving as the connective tissue between strategic program design and field-facing execution. Based in Chicago, USA, you will thrive in a high-growth environment that values intellectual honesty, radical accountability, and a "team first" mindset. Success in this role means moving beyond simple event planning and facilitation to become a trusted partner who enhances the learner experience and provides critical insights for continuous enablement improvement. We are looking to speak to candidates who are based in Chicago for our hybrid working model. Responsibilities Training Event Orchestration and Logistics End-to-End Management: Own the full logistical lifecycle for in-person training events, including venue selection, meeting room configuration, catering, and on-site technology Operational Precision: Ensure flawless accuracy in scheduling, invitations, reminders, and learner communications across all assigned sessions Execution Reliability: Execute assigned tasks within scope and on time using project management tools, maintaining high delivery reliability Stakeholder Coordination: Partner with Workplace and TRO teams to orchestrate seamless delivery, owning handoffs and vendor coordination with "radical follow-through" Data Integrity: Maintain accurate program data (attendance, survey results) with zero critical errors, ensuring visibility for stakeholders Event Production and Emceeing Producer Role: Serve

The Enablement Delivery Specialist is a pivotal execution-focused role within the GTM Enablement organization, responsible for the end-to-end orchestration of world-class training experiences. Reporting to the Manager of Delivery, this role ensures that every training event, from foundational bootcamps to advanced skill-building workshops, is delivered with the logistical precision and professional excellence required to drive field performance. You will act as the "Producer" and "Emcee" for our regular and ad-hoc in-person and virtual events, serving as the connective tissue between strategic program design and field-facing execution. Based in our Dublin International Headquarters, you will thrive in a high-growth environment that values intellectual honesty, radical accountability, and a "team first" mindset. Success in this role means moving beyond simple event planning and facilitation to become a trusted partner who enhances the learner experience and provides critical insights for continuous enablement improvement. We are looking to speak to candidates who are based in Singapore for our hybrid working model. Responsibilities Training Event Orchestration and Logistics End-to-End Management: Own the full logistical lifecycle for in-person training events, including venue selection, meeting room configuration, catering, and on-site technology Operational Precision: Ensure flawless accuracy in scheduling, invitations, reminders, and learner communications across all assigned sessions Execution Reliability: Execute assigned tasks within scope and on time using project management tools, maintaining high delivery reliability Stakeholder Coordination: Partner with Workplace and TRO teams to orchestrate seamless delivery, owning handoffs and vendor coordination with "radical follow-through Data Integrity: Maintain accurate program data (attendance, survey results) with zero critical errors, ensuring visibility for stakeholders Event Production and Emc

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale APIs for image generation, speech transcription, speech generation, and low-latency voice interactions. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: Design, build, and ship developer-facing APIs and backend services that serve frontier models. Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. Own the availability, latency, scalability, and cost efficiency of the services you build. Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed syste

About the Team OpenAI's Professional Services team helps organizations move from AI ambition to durable production outcomes. We partner with customers on complex deployments and build the strategy, commercial models, operating mechanisms, and delivery capacity needed to realize value from OpenAI's models and products. The team works across Go-to-Market, Forward Deployed Engineering, Technical Success, Finance, Product, Legal, Data, Systems, and delivery partners. We are building a services motion that is customer-centered, commercially rigorous, operationally scalable, and deliberately connected to product adoption. About the Role We are seeking a senior GTM Strategy & Operations professional to build and scale the operating system for OpenAI's Professional Services business. This is a foundational, hands-on individual contributor role at the intersection of business strategy, finance, go-to-market, and delivery. You will turn ambiguous questions—what we offer, how we price and package it, how we plan capacity, and how we measure performance—into clear decisions and repeatable mechanisms. You will own business planning, pricing and packaging, forecasting and modeling, management reporting, and cross-functional strategic initiatives. You will build integrated views of demand, staffing, revenue, margin, and delivery performance; replace one-off analyses with durable processes; and create operating cadences that help leaders act early. You will be a trusted partner to Professional Services, GTM, FDE, Technical Success, Finance, Product, Legal, Revenue Operations, and Data leaders. The right person combines direct Professional Services judgment with rigorous analytics, executive communication, and the willingness to build the model, process, or dashboard themselves. You’ll be responsible for: Define and drive the business and GTM strategy for Professional Services, including target customer needs, offer portfolio, positioning, pricing and packaging, partner motions,

About the Team We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliably, efficiently, and safely across Codex, ChatGPT, API, and internal research workloads. We’re hiring a Developer Productivity Engineer to help scale the engineering systems, safeguards, and developer workflows that enable our teams to move quickly without compromising reliability or performance. This role sits at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. You’ll work on the tooling and operational foundations that support model launches, inference optimizations, cloud provider integrations, and large-scale deployments across a rapidly evolving inference stack. About the Role We’re looking for an autonomous, high-ownership engineer who cares deeply about making other engineers faster, safer, and more confident. A major focus of this role will be improving the tooling and infrastructure around deploy gates for inference engine images. These systems help ensure that every image released to production and research is correct, numerically sound, free of regressions, and performant across key metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You’ll help harden the systems that catch issues before they reach production, reduce noise from flaky or infrastructure-related test failures, and improve automation around triage, ownership, debugging, and escalation when failures occur. You’ll also work on improving observability, rollout safety, release automation, and developer self-service tooling across a rapidly evolving inference stack. This is not generic internal tools work. The systems you build directly impact OpenAI’s ability to support new model launches, safely ship inference optimizations to the world, onboard new infrastructure providers, and operate one of the largest and most p

About the Team The Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. In this role, you will: Design and build the development and production platforms that power our products, enabling reliability and security at scale Ensure our infrastructure can scale to the next order of magnitude Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scale Have experience building abstractions over cloud platforms Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change 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

About the Team The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. This role is based in San Francisco, CA. In this role, you will: Design and build the development and production platforms that power our products, enabling reliability and security at scale Ensure our infrastructure can scale to the next order of magnitude Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scale Have experience building abstractions over cloud platforms Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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 depl

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 As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! 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. Key Responsibilities Co-design future hardware for programmability and performance with our hardware vendors Assist hardware vendors in developing optimal kernels and add support for it in our compiler Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory h

About the Team OpenAI’s Infrastructure organization builds the systems that power frontier AI workloads at global scale. As compute demand accelerates, our ability to rapidly convert infrastructure investments into usable production capacity has become mission critical. The CPU / Storage / PoP / WAN team is responsible for the end-to-end infrastructure layers required to bring compute online: server and cluster activation, storage platforms, Points of Presence (PoPs), backbone connectivity, and global network expansion. We operate across first-party facilities, colocation environments, and strategic cloud partners to ensure OpenAI can scale reliably and quickly. About the Role We are seeking a highly technical Program Manager to lead execution across CPU, Storage, PoP, and WAN infrastructure programs that directly unlock OpenAI’s next generation compute capacity. In this role, you will own complex cross-functional programs spanning compute cluster activation, storage deployment, PoP bring-up, and backbone expansion. You will coordinate hardware readiness, site readiness, network pathing, storage availability, vendor execution, and engineering dependencies required to turn contracted infrastructure into live training and inference capacity. This role requires strong technical fluency across hardware systems, network infrastructure, storage architecture, and deployment execution. You should be comfortable operating from rack-level implementation details through executive-level capacity planning discussions. This role is based in San Francisco, CA, with travel as needed. Key Responsibilities Lead end-to-end execution of CPU / GPU cluster activation programs across OpenAI’s global infrastructure footprint Drive readiness to convert contracted compute capacity into schedulable production clusters Own deployment programs for new PoPs, backbone nodes, WAN expansion, and interconnection initiatives Build integrated schedules spanning procurement, logistics, installation, st

The Best Players Need the Best People. The Graphics Operator is responsible for the live execution and creative development of insert graphics across all studio and remote productions at PGA TOUR Studios. This role requires technical expertise in broadcast graphics systems, precision under pressure, and a strong understanding of live sports workflows. The Graphics Operator ensures that all visual elements—from real-time scoring to branded content—are delivered with accuracy, consistency, and creative impact. QUALIFICATIONS Bachelor’s Degree or related technical education required. Minimum 3 years broadcast television or related experience at the regional to large market or network level. Experience with Chyron and Ross XPression, or similar platforms, including data integration and real-time graphics workflows. Strong understanding of live production timing, control room operations, and cue execution under pressure. Ability to build, edit, and manage graphic templates, lower thirds, and sponsor elements with editorial accuracy. Skilled in troubleshooting technical issues with graphics systems during live broadcasts. Excellent communication and collaboration skills with producers,

Manufacturing Engineer (Associate or Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Laser and Electro-Optical Systems (LEOS) site is seeking an Experienced Manufacturing Engineer for our advanced development and production manufacturing team located in Albuquerque, NM. The Boeing Laser and Electro-Optical systems (LEOS) group works to develop and implement next-generation technologies and products serving a variety of commercial and military customers. Our team focuses on rapid prototyping and precision production of advanced laser and electro-optical systems that satisfy challenging product performance requirements built in accordance with aerospace (AS9100) quality standards. Position Responsibilities: Design, develop and optimize manufacturing processes and tooling approaches for complex electro-optical aerospace parts and assemblies Collaborate with design engineers to ensure manufacturability and cost-effective production Review engineering drawings and provide comments to responsible engineer Participate in Integrated Product Teams (IPTs) to integrate technical solutions across multiple disciplines Participate in supplier selection and evaluation to ensure adherence to quality and delivery standards Write content for work instructions, travelers, and standard shop procedures Utilize electronic work instruction, material control and non-conformance management systems as needed to support production Ensure compliance with aerospace industry quality standards (e.g., AS9100, J-STD) Ensure the manufacturing work instructions and special processes follow safety and environmental regulations Assist in shop layout and

Work Flexibility: Onsite Resumen de Puesto Realizar tareas sencillas para reprocesar los productos, que pueden incluir, entre otras, la limpieza, las pruebas, el plegado, la inspección visual y el enrollado. Seguir los procedimientos y directrices establecidos para limpiar el producto. Operar el equipo de limpieza y utilizar los productos químicos y otros productos de limpieza de forma segura y de acuerdo con las instrucciones. Responsable de las órdenes de trabajo de producción específicas de su línea de productos y/o asignación de célula de trabajo. Responsable de conocer, seguir y no desviarse de los procedimientos adecuados asignados a su línea de producto y/o célula de trabajo. 2. Responsabilidades y Funciones • Completa las tareas repetitivas y sigue los procedimientos junto con las instrucciones escritas y verbales • Inspecciona y limpia los dispositivos con productos químicos de limpieza, alcohol y suministros designados, utilizando herramientas finas o pequeñas, como cepillos o rodillos • Realizar pruebas sencillas de funcionamiento de los productos utilizando un probador automático sencillo o una pequeña máquina de pruebas • Doblar y colocar manualmente los dispositivos/productos en bolsas • Puede sellar las bolsas con una máquina de sellado y colocar las etiquetas adecuadas utilizando una impresora de etiquetas • Validar los componentes de sustitución como equivalentes a los nuevos cuando sea necesario • Cumplir con los objetivos definidos dentro de los factores clave de éxito de Stryker: Calidad Primero, Experiencia del Cliente, Innovación, Desarrollo de las Personas y Resultados Financieros • Responsable de participar en la mejora continua, las 5S, la limpieza diaria/semanal y de aportar sugerencias o ideas • Respon

Work Flexibility: Onsite Resumen de Puesto Realizar tareas sencillas para reprocesar los productos, que pueden incluir, entre otras, la limpieza, las pruebas, el plegado, la inspección visual y el enrollado. Seguir los procedimientos y directrices establecidos para limpiar el producto. Operar el equipo de limpieza y utilizar los productos químicos y otros productos de limpieza de forma segura y de acuerdo con las instrucciones. Responsable de las órdenes de trabajo de producción específicas de su línea de productos y/o asignación de célula de trabajo. Responsable de conocer, seguir y no desviarse de los procedimientos adecuados asignados a su línea de producto y/o célula de trabajo. 2. Responsabilidades y Funciones • Completa las tareas repetitivas y sigue los procedimientos junto con las instrucciones escritas y verbales • Inspecciona y limpia los dispositivos con productos químicos de limpieza, alcohol y suministros designados, utilizando herramientas finas o pequeñas, como cepillos o rodillos • Realizar pruebas sencillas de funcionamiento de los productos utilizando un probador automático sencillo o una pequeña máquina de pruebas • Doblar y colocar manualmente los dispositivos/productos en bolsas • Puede sellar las bolsas con una máquina de sellado y colocar las etiquetas adecuadas utilizando una impresora de etiquetas • Validar los componentes de sustitución como equivalentes a los nuevos cuando sea necesario • Cumplir con los objetivos definidos dentro de los factores clave de éxito de Stryker: Calidad Primero, Experiencia del Cliente, Innovación, Desarrollo de las Personas y Resultados Financieros • Responsable de participar en la mejora continua, las 5S, la limpieza diaria/semanal y de aportar sugerencias o ideas • Respon

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Senior Security Incident Responder is a lead technical authority for incident response execution, responsible for handling the most complex, high-impact, and business-critical security incidents across WPP. The role does not have line management responsibility; people management remains with the Security Incident Management Lead. What you'll be doing: KEY RESPONSIBILITIES Advanced Incident Detection, Analysis & Response - Lead investigations for high-severity and complex security incidents. - Perform deep technical analysis using SIEM, SOAR, EDR/XDR, identity, email, and cloud telemetry. - Execute and oversee containment, eradication, and recovery actions. - Act as technical incident commander when delegated. Escalation Handling & Stakeholder Coordination - Serve as the primary escalation point for complex incidents. - Coordinate with Legal, Privacy, Risk, Technology Operations, and agency teams. - Provide clear technical updates to senior stakeholders. Forensics, Evidence Handling & Assurance - Lead forensic evidence collection, preservation, and analysis. - Ensure d