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About the Team The SMB Sales team is focused on scaling efficient, high-quality sales execution across a range of commercial motions, including Inbound, Outbound, API Sales, Channel, and SDR. We partner closely with Sales Leadership, Revenue Operations, Finance, Enablement, Program Management, and external vendor partners to build scalable operating models that support growth while maintaining a high bar for performance and customer experience. About the Role As a Senior Vendor Manager, SMB Sales, you will own performance across our outsourced SMB Sales vendor network. This is not a traditional vendor management role. We’re looking for a performance-focused operator who can drive large-scale sales execution through vendor partners, rather than someone primarily focused on vendor relationship management. You will own regional and site-level performance across Tier 1 partners, with responsibility for sales performance, quality, forecasting, governance, operational readiness, and vendor leadership accountability across multiple sales motions. You’ll work at the intersection of Sales Leadership, Revenue Operations, Finance, Enablement, Program Management, and external vendor executives. You will help ensure the machine performs: surfacing issues early, creating accountability, and driving the operating rigor needed to deliver consistently strong outcomes at scale. In this role, you will: Own regional and site-level performance across revenue, pipeline, conversion, productivity, quality, and other key sales metrics. Inspect sales funnel health and diagnose whether performance gaps are driven by quality, execution, routing, enablement, staffing, or process issues. Surface underperformance early, diagnose the underlying drivers, and drive urgency around corrective action. Build clear corrective action plans with vendor leadership, establish measurable outcomes, and ensure strong follow-through. Lead Weekly Business Reviews, Monthly Business Reviews, and Quarterly Business

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. 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: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the physical infrastructure needed to deliver compute at unprecedented scale. The Commissioning organization is responsible for ensuring this infrastructure is safely tested, validated, integrated, and transitioned into reliable operations. As the portfolio grows, the team is building common standards, processes, tools, and reporting systems that allow commissioning programs to operate consistently across projects while giving teams and leadership clear visibility into readiness, risk, and execution. About the Role We are seeking a Commissioning Program Manager to build and scale the operating systems behind OpenAI’s infrastructure commissioning programs. You will own the development and continuous improvement of commissioning standards, processes, tools, dashboards, and KPIs across the infrastructure portfolio. You will work closely with commissioning and construction teams to translate field execution needs into practical playbooks, workflows, templates, metrics, and reporting mechanisms that teams can use from construction readiness through testing and turnover. This role sits at the intersection of infrastructure delivery, program management, process design, and data. The ideal candidate understands how complex construction projects operate and can turn fragmented workflows and project data into repeatable systems that improve execution without creating unnecessary administrative burden. Key Responsibilities Develop and maintain commissioning program standards, playbooks, process maps, templates, checklists, stage gates, and acceptance criteria across infrastructure projects. Establish consistent workflows for commissioning planning, construction readiness, QA/QC, issue management, document control, testing evidence

About the Role OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads Marketing team and your insights will be the primary catalyst for high-stakes decisions across marketing, product, and sales engineering. What You'll Do Full-Funnel Analytics Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention. Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations. Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders. Targeting, Segmentation & Propensity Modeling Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers. Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking. Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels. Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth. Campaign Analytics & Measurement Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy. Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership. Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews. Forecasting & Planning Build high-fidelity revenue and advertiser growth models to project perfor

About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-fac

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, 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 OpenAI is seeking a Real Estate Lead to own land acquisition strategy and site-control execution for our next-generation data center portfolio across the U.S. This role sits at the front end of infrastructure delivery, translating market intelligence, broker/developer relationships, and commercial judgment into credible shovel-ready positions that meet OpenAI’s power, land, permitting, and expansion requirements. The Real Estate Lead will not operate as a traditional transactional real estate function. The scope is to help shape where OpenAI can build, secure the right land positions early, structure defensible commercial terms, and coordinate the legal, technical, and development work required to move opportunities from sourced lead to controlled site and ultimately to readiness handoff. This is an individual contributor lead role and does not have direct reports initially. The role also owns market prioritization and portfolio-level acquisition strategy across target geographies, and is expected to run multiple negotiations in parallel while translating site-control work into executive-ready acquisition recommendations. Key Responsibilities Own market prioritization and portfolio acquisition strategy across target geographies, including scenario analysis for speed, scale, expansion potential, and risk-adjusted economics. Proactively source and evaluate land parcels at scale to support long-term data center growth across priority markets. Build and manage a national pipeline of

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 company OpenAI’s mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals to accomplish this. About the role We are looking for a Sales Engineering leader to be responsible for overseeing all technical aspects of the OpenAI sales process ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models and technology. We are looking for a technical leader who represents the voice of the customer, aligning our customer-facing technical teams around a unified and exceptional experience across the customer lifecycle. You will be crucial to the success of our GTM strategy and will have a significant influence in shaping the direction of our technology and those who adopt it. Your responsibilities will encompass overseeing all technical aspects of the sales process for our Digital Natives segment. This includes not only the pre-sales activities but also at times the post-sales technical support ensuring a cohesive and outstanding experience for our clients. Your teams of Solutions Engineers will rely on your leadership to guide them in delivering exceptional service and technical expertise. You will work closely with Sales, Customer Engagement, Security, and Product teams. In this role, you will: Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele. Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability. Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies. Act as the escalation technical contact for key clients

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Power & Land team owns the energy strategy required to secure reliable, scalable, and economically resilient power for OpenAI’s global data center portfolio. About the Role The Power Trading Lead will own commodity hedging strategy and execution across OpenAI’s data center power portfolio. This role will translate large, dynamic electricity and fuel exposures into practical hedging, procurement, and risk-management strategies that protect infrastructure economics while preserving flexibility for growth. This is an individual contributor lead role and does not have direct reports initially. The role will work across power markets, utility tariffs, retail and wholesale supply structures, natural gas and power hedges, renewable and clean firm products, and portfolio risk analytics to support long-term compute growth. Key Responsibilities Develop and maintain OpenAI’s commodity hedging strategy across electricity, natural gas, and related energy exposures for data center operations and growth. Quantify portfolio exposure by market, site, load shape, tenor, tariff, and supply structure, and translate that exposure into clear hedging recommendations. Evaluate and execute hedging structures including fixed-price supply, forwards, swaps, options, retail supply products, congestion and basis risk mitigation, and related instruments where appropriate. Partner with utilities, suppliers, traders, banks, consultants, and market counterparties to source competitive products and improve risk-adjusted energy economics. Build decision frameworks for when to hedge, how much to hedge, and which risks to retain across different stages of site development, construction, and operations. Coordinate with finance, treasury, legal, procurement, energy regulatory, sustainability, and site-readiness teams to ensure hedging strategy aligns with broa

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. 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

About the Team The Industrial Compute team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation compute infrastructure across a rapidly expanding global footprint, combining OpenAI-owned infrastructure with strategic cloud and infrastructure partners to support frontier AI workloads. As our infrastructure footprint grows, operational excellence across third-party providers becomes increasingly critical. Our team ensures external infrastructure partners consistently deliver the reliability, performance, and operational maturity required to support OpenAI’s rapidly expanding compute environment. About the Role We are seeking a Hardware Technical Program Manager, Infrastructure Partner Operations to lead operational delivery across OpenAI’s third-party infrastructure partners, including major cloud service providers and strategic compute vendors. In this role, you will serve as the primary operational program manager for external infrastructure partners, driving accountability for service delivery, operational readiness, incident management, performance reporting, and continuous operational improvement. You will work closely with partner engineering and operations teams while coordinating internally across Hardware Engineering, Infrastructure Operations, Capacity Planning, Networking, Supply Chain, Deployment, Reliability Engineering, and executive leadership. Success in this role requires someone who understands how hyperscale infrastructure organizations operate, can establish strong operational governance with external partners, and is comfortable driving complex technical programs without direct ownership of the underlying infrastructure. Key Responsibilities Own operational engagement with third-party infrastructure providers, ensuring consistent execution against operational commitments, service-level agreements (SLAs), and performance expectations. Develop operationa

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 Stargate 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 New Geography and International Growth Lead will own the strategy for infrastructure expansion into new geographies, including market assessment, stakeholder engagement, and coordination across energy, policy, commercial, and other infrastructure workstreams. This role identifies and enables priority international growth opportunities while ensuring alignment with regional regulatory, operational, sustainability, and long-term infrastructure objectives. This is an individual contributor lead role and does not have direct reports initially. The role will translate ambiguous market-entry questions into clear recommendations, identify the conditions required for OpenAI to advance in new regions, and coordinate the cross-functional work needed to turn priority geographies into executable infrastructure options. Key Responsibilities Build market-entry frameworks for international infrastructure geographies, including power availability, land readiness, regulatory posture, commercial fit, and execution risk. Assess priority regions and countries against OpenAI’s long-term compute, energy, sustainability, policy, and operational objectives. Coordinate cross-functional geographic diligence with energy, policy, commercial, legal, finance, procurement, engineering, and site-readiness stakeholders. Lead early stakeholder mapping and engagement strategy with utilities, regulators, government entities, developers, capital partners, and other market participants. Translate regional findings into exe

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team supports OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. The Internal Communications team aims to create clarity, trust, and shared understanding that inspires our employees to do their best work. About the Role We are looking for an Internal Communications professional to support our Enterprise and & Growth portfolio, specifically B2B, Revenue, Partnerships, Marketing, Enterprise Engineering, Ads, and Commerce teams. This role is well suited for a highly organized communicator who writes clearly, learns quickly, brings calm execution to a fast-moving environment, and enjoys finding creative ways to keep employees informed and connected. In this role, you will: Support day-to-day internal communications for the Enterprise & Growth portfolio, including product, partnership, leadership, and organizational announcements. Help plan and execute internal events for supported executives and teams, including org-wide All Hands, managers meetings, Q&As, leadership AMAs, employee engagement moments, and launch-related gatherings. Support logistics and execution for company-wide customer storytelling programs, bringing customer insights, examples, and impact stories to employees. Monitor high-traffic Slack channels and other employee feedback signals across supported teams to identify emerging questions, information gaps, and opportunities to improve clarity or connection. Maintain intake and calendar, tracking key moments, milestones, dependencies, audiences, and review timelines. Contribute to broader Internal Communications priorities as needed, bringing flexibility, curiosity, and strong follow-through across the team. You might thrive in this role if you have: 3+ years of experience in internal communications, event coordination, market

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A