Strategic Leader in United States

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role Responsible for validating that proposed sites are buildable, compliant, and cost-effective. You will lead diligence across civil, geotechnical, environmental, and entitlement dimensions, identifying risks and driving mitigation strategies. Key Responsibilities Lead all technical diligence: geotech, soils, title/ALTA surveys, mineral rights, and access. Oversee permitting/entitlement path and schedule governance with agencies. Evaluate generator air permits, wetlands, floodplain, and stormwater constraints. Manage consultants performing feasibility studies and environmental assessments. Deliver go/no-go recommendations with risk and mitigation options. Build diligence templates and playbooks to scale future site reviews. Qualifications 8+ years in land development, civil/environmental engineering, or data center diligence. Knowledge of permitting, entitlements, and AHJ engagement. Strong project management and technical review skills. Experience managing consultants and interpreting complex studies. Regularly communicate site readiness updates, risks, and milestones to executive stakeholders Establish and track key performance indicators to assess the effectiveness of the site selection program and the contributions of external vendors and partners. 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 is evaluating multiple infrastructure pathways, including powered land, colo/BTS, and NeoCloud opportunities. The Site Readiness & Development team provides the diligence layer needed to compare opportunities, identify risk, and support credible deployment decisions across those pathways. About the Role The NeoCloud & Colo Due Diligence Lead will evaluate third-party infrastructure opportunities where OpenAI is considering deployment through NeoCloud, colo, or BTS structures. This role will focus on facility and deployment readiness, including MEP readiness, rack strategy, developer capability, facility design, power deliverability, schedule credibility, and operating assumptions. Unlike the land diligence team, this role is centered on technical and operational readiness of third-party infrastructure rather than greenfield site master planning, civil development, and entitlement strategy. This is an individual contributor lead role and does not have direct reports initially. The role determines whether each opportunity is fit-for-use and fit-for-service against OpenAI facility, rack, power, network, reliability, and operational standards; identifies material deficiencies and tracks remediation with developers/operators; and evaluates commissioning, validation, AHJ/code, and deployment interfaces such as structured cabling, network readiness, and high-density rack support where relevant. Key Responsibilities Lead diligence on NeoCloud, colo, and BTS opportunities across technical and operational readiness dimensions. Assess each opportunity against OpenAI facility, rack, power, network, reliability, and operational standards to determine deployment fit. Validate MEP readiness, rack deployment strategy, facility design assumptions, power deliverability, and schedule credibility. Identify material deficiencies and work with developers/operators to define remediation plans, owners, timing, and residual risk. Review reliability, availabilit

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Clean Energy and New Technology Lead will own infrastructure clean energy and emerging energy technology strategy and execution, identifying and deploying scalable solutions that enable resilient, low-carbon compute and data center growth. The role will work closely with regulatory and policy teams to align infrastructure expansion with OpenAI’s long-term environmental and operational objectives. This is an individual contributor lead role and does not have direct reports initially. The role will evaluate where emerging energy technologies can materially improve reliability, cost, carbon, speed, or resilience; translate those options into practical deployment pathways; and help ensure OpenAI’s infrastructure growth remains aligned with sustainability considerations. Key Responsibilities Evaluate emerging energy solutions such as clean firm power, advanced storage, grid flexibility, low-carbon backup power, heat reuse, water-related energy efficiency, and other scalable technologies where relevant. Identify pilot opportunities and deployment pathways that can move promising energy technologies from concept to commercially and operationally credible execution. Translate technical options into clear reliability, cost, schedule, carbon, regulatory, and operational implications for infrastructure decision-making. Partner with energy regulatory, policy, procurement, engineering, deployment, finance, legal, and site-readiness teams to align technology and sustainability choices with

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. Develop, validate, and apply package reliability models and lifetime-prediction

About the Team The Corporate Security team is responsible for safeguarding all OpenAI employees and executives. Our mission is to create a secure, resilient environment that allows our teams to focus on their work without risk or disruption. We manage physical security operations across offices, events, and global initiatives, partnering closely with internal teams and external agencies to stay ahead of emerging threats. About the Role As a Corporate Security Manager , based in our San Francisco office, you will lead day-to-day security operations while supporting the development of global physical security strategies, policies, and procedures. You will work cross-functionally to maintain a strong and adaptive security posture, manage vendor security teams, and serve as a key liaison with law enforcement and security partners. This position requires hands-on experience in corporate security operations. This role typically involves 4–5 days in the office each week . In this role, you will: Office Security: Develop, implement, and manage physical security measures, including policies, systems, and vendor relationships, to protect employees and visitors in the San Francisco offices. International Offices: Support the International Director to safeguard OpenAI’s global footprint by assisting with security policy writing, consistent with US and main office policy and procedures, including ongoing mitigation strategies. Events: Support local events when needed and work with the resilience team on updating policy and procedures that involve the GSOC’s support. Partnerships & Stakeholder Engagement: Establish and strengthen relationships with local law enforcement agencies, peer security organizations, and other external partners to stay current on emerging risks. Policy Development & Compliance: Be the primary point of contact for the Corporate Security Operations team for global policy and procedures. Support and contribute to all the Corp Sec pillars as needed, f

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. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. 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'll: Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan Support your customer accounts from initial engagement to successful deployment, expansion, and through to renewal Develop new and existing accounts through pipeline generation, discovery, evaluation, and successful adoption Partner with solutions and research engineering to build and execute complex customer programs and projects Own a revenue target Manage revenue forecasts Analyze key account metrics to create reports and provide insights to internal and external stakeholders Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Facilities Operations Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. Oversee installation, commissioning, and operational readiness of large-scale data center campuses. Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems. Develop on-site operations staffing strategy. Develop and enforce procedures for planed and unplanned downtime and SLAs for critical

About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. About the Role As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. Proactively surface insights and opportunities to drive engagement and growth. Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them. Partner with other data scientists across the company to share knowledge and continually

About the Team Equity Administration at OpenAI is responsible for the operational foundation of our equity programs. Our team ensures equity data and reporting are reliable, our systems and integrations are resilient, and our processes and controls are built to scale globally. We work cross-functionally with Legal, Finance/Accounting, Payroll, Tax, People, and key vendors to uphold compliance requirements and enable equity strategy as the company evolves. About the Role We’re looking for an experienced Manager, Global Equity Administration to help run our global equity programs with a focus on high-quality execution, scalable processes, auditable controls, and reliable equity systems. You will be hands-on in day-to-day equity administration and help improve how we operate as we scale. You will report to the Head of Equity Administration and partner closely with Legal, Equity Programs, Compensation, Tax, Payroll, and Finance to ensure equity operations are accurate, timely, and employee-friendly. Location: 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: Execute end-to-end employee equity administration across key lifecycle events (new grants, vesting/RSU releases, option exercises, and related transactions). Run recurring operational cycles by managing timelines, checklists, stakeholder inputs, and issue resolution. Produce audit-ready equity reporting and support accounting, compliance, and reporting needs with accurate, well-documented data. Build and maintain automated reporting (scheduled reports, dashboards, reconciliations) to reduce manual effort and improve speed and accuracy. Support equity system operations (Shareworks or comparable) including troubleshooting, configuration updates, permissions, report builds, and workflow maintenance. Partner with Internal Controls to keep process documentation, narratives, and flowcharts current,

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference. Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads. You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling. You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale. In this role, you will: Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms. Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments. Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators. Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware. Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization. Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures. Contribute to runtime improvements, compute/communication over

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. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. 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'll: Manage a portfolio of accounts, developing and executing strategies for a comprehensive account plan Lead our prospects’ journeys from consideration to successful deployment Partner with solutions and research engineering to build and execute complex customer programs and projects Own a consumption revenue target Manage consumption revenue forecasts Analyze key account metrics to create reports and provide insights to internal and external stakeholders Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies Collaborate with solutions, marketing, communications, business operations, people operations, finance, product m

About the Team We’re hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI’s training and inference frameworks and helps execute frontier experiments. About the Role We’re looking for someone who cares about the developer experience of working in and around OpenAI’s core training and inference frameworks. In this role you will: Be responsible for optimizing the development workflows of the engineers around you Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience Optimize iteration speed, both broadly, and in particular by optimizing specific teams’ CI Improve reliability, for instance, by driving testing strategy for particular components Work through the long tail of things that it takes to build libraries and systems that will delight researchers You might thrive in this role if: You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you’ve already written to make it so. You are pragmatic. You have the ability to see the world through a perfectionist’s eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. You like going end-to-end on things. You love co-design — that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

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. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role can be based in our San Francisco or Seattle offices. We are also considering applications to work remotely from within the U.S. 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'll: Manage ~five key accounts, developing and executing strategies for a comprehensive account plan Lead our enterprise customers’ journeys from ideation to successful deployment Partner with solutions and research engineering to build and execute complex customer programs and projects Own a consumption revenue target Manage consumption revenue forecasts Analyze key account metrics to create reports and provide insights to internal and external stakeholders Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies Collaborat

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform