Search AI Jobs
16,591 published AI roles — filter by keyword, skill, seniority or contract type.
16,591 results
Updated
Data Scientist, Core Experimentation
About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: - Drive the statistical direction and technical strategy for OpenAI’s experimentation platform - Design and improve experimentation methodologies used across product and research teams - Build pragmatic solutions to real-world experimentation challenges, balancing rigor with operational simplicity - Improve the reliability and trustworthiness of experiment results, including detection and prevention of bias, logging issues, and data quality failures - Developscalable analytical systems and pipelines in Python and distributed compute environments - Partner with engineers and product teams to improve experiment design, metric quality, and decision-making practices - Lead investigations into complex experimentation anomalies and measurement failures - Establish best practices for experimentation governance, interpretation, and statistical correctness - Mentor other data scientists and raising the overall technical bar for experimentation and causal inference You might thrive in this role if you have: - Experience building, scaling, or operating experimentation platforms at a large technology company - Deep expertise in statistics, causal inference, and online experimentation methodology - Strong understanding of practical experimentation challenges in production systems - Experience with areas such as variance reduction, CUPED, sequential testing, SRM detection, metric design, or heterogeneous effects - Strong coding and systems skills in Python and large-scale data processing frameworks (e.g. Spark) - Experience designing analytical data models and scalable experimentation pipelines - Ability to communicate complex statistical concepts clearly to technical and non-technical audiences - Track record of influencing technical strategy through hands-on technical leadership - Experience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valued Workplace & Location This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership. Compensation Range : $293K - $325K USD 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Productivity - Inference Runtim...
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 performance-sensitive inference platforms in the world. In this role, you will: - Improve systems that ensure inference engine releases are correct, performant, and regression-free by evolving tooling and infrastructure for deploy gate validation - Bring rigor to release, validation, branching, and deployment processes across the inference stack - Improve canary, async, and large-scale validation workflows for inference systems - Harden CI, testing, and validation infrastructure so failures are actionable and trustworthy - Reduce noisy or flaky failures caused by infrastructure instability, GPU scheduling, or test environment issues - Build automation for failure triage, ownership detection, debugging, and escalation - Partner closely with inference teams, research developer productivity, engine acceleration, and infrastructure teams to improve release quality and rollout safety - Reduce developer friction in testing, debugging, and release workflows so engineers can move faster with confidence You might thrive in this role if: - You have strong experience with CI/CD systems, testing infrastructure, release tooling, developer productivity, or large-scale build and validation systems - You are excited by high-impact infrastructure where small regressions in correctness, latency, or reliability meaningfully affect production systems - You care about building systems engineers can trust, not just systems that technically function - You have strong developer empathy and enjoy improving workflows, reducing friction, and making engineers more effective - You demonstrate high ownership and proactively identify problems, drive improvements, and follow issues through resolution - You are comfortable working in Python-heavy environments and debugging complex distributed systems - You enjoy building automation that reduces manual triage, improves signal quality, and scales operational effectiveness - You are comfortable operating in ambiguous areas without a fully predefined roadmap - You enjoy partnering closely with engineers to understand workflows, pain points, and operational challenges - You are pragmatic, collaborative, and motivated by helping teams move faster with more confidence - You are excited to learn about large-scale inference systems, even if you have not worked directly on inference before Python experience is highly relevant, as much of the current deploy gate and validation infrastructure is Python-based. C++ experience is helpful, especially for working near inference engine code, CI build issues, or performance-sensitive systems, but it is not required. Prior inference experience is not required. The ideal candidate is someone with strong instincts around developer productivity, testing, release engineering, and automation who is excited to apply those skills in a deeply impactful inference environment. We’re looking for someone who is technically curious, comfortable navigating ambiguous, cross-functional operational problems, and is motivated to improve the reliability, safety, and developer experience of large-scale production infrastructure. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Head of Ads Enterprise Marketing
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We are hiring a Head of Enterprise Ads Marketing to define and scale OpenAI’s global marketing strategy for enterprise advertisers, agencies, and strategic brand partners. This leader will own how advertisers understand, evaluate, adopt, and grow with OpenAI’s advertising solutions. This is a highly strategic and hands-on leadership role where you will shape the narratives that position OpenAI as a premium advertising platform for the world’s marketers while building the content, thought leadership, events, and demand programs that drive pipeline and long-term strategic growth. You will partner closely with Sales, Partnerships, Product, Finance, Legal, Communications, Research, and Data Science to help establish OpenAI as a trusted leader in the future of AI-powered advertising. This role is ideally based in San Francisco, CA, with a hybrid schedule of three days per week in the office. In This Role, You Will: - Define the end-to-end enterprise advertiser marketing strategy across awareness, consideration, pipeline creation, adoption, expansion, and long-term growth. - Develop OpenAI’s enterprise advertising narratives, positioning, and messaging architecture across AI-powered marketing, creativity, measurement, and consumer engagement. - Build compelling brand positioning that establishes OpenAI as a trusted, differentiated platform for enterprise advertisers and agencies. - Lead category thought leadership programs and content strategy that position OpenAI as a leading voice on the future of advertising, AI, creativity, and measurement. - Create executive storytelling frameworks and high-impact communications for senior client engagements, keynote presentations, media moments, and industry conversations. - Develop strategic sales enablement programs, positioning, and materials that help commercial teams articulate differentiated value across industries, customer segments, and buying audiences. - Lead the development of flagship customer stories, case studies, and proof points that demonstrate measurable business outcomes and advertiser success. - Build integrated demand generation and account-based marketing programs targeting priority accounts and industries through owned media, partner channels, executive engagement, and industry activations. - Define industry-specific narratives and go-to-market strategies across key verticals including CPG, Retail, Automotive, Financial Services, Technology, Entertainment, Telecom, and Travel. - Own OpenAI’s presence and narrative strategy at major industry events including Cannes Lions, CES, Advertising Week, Possible, and DMEXCO. - Partner closely with Product Marketing and Product teams to translate roadmap innovations into market-ready launches, customer education, and enterprise sales motions. - Establish measurement frameworks to track brand perception, executive engagement, pipeline contribution, influenced revenue, content performance, and market momentum, while building and leading a high-performing team over time. You Might Thrive in This Role If You: - Have 12+ years of experience in B2B marketing, enterprise marketing, ad sales marketing, product marketing, brand strategy, or strategic go-to-market leadership. - Have built or led enterprise advertising marketing programs at a scaled digital media platforms. - Deeply understand how enterprise advertisers and agencies make buying decisions, including procurement cycles, executive stakeholders, measurement requirements, and long-term partnerships. - Have significant experience developing executive narratives, thought leadership platforms, and enterprise positioning strategies that influence senior marketers and industry decision-makers. - Have experience building sophisticated content marketing ecosystems that support both brand leadership and pipeline generation. - Have led world-class tent-pole event strategies and know how to convert marquee moments into measurable brand and commercial impact. - Have built high-quality sales enablement ecosystems that help commercial teams win complex deals. - Are fluent in advertising concepts including brand building, performance media, measurement, attribution, audience strategy, creative effectiveness, and media planning. - Are highly analytical and comfortable connecting marketing investments to pipeline and revenue outcomes. - Can translate complex technology into clear, credible narratives for CMOs, agency leaders, media executives, and enterprise buyers. - Thrive in ambiguous, fast-moving environments where you are building new functions from scratch. - Are an excellent people leader who can attract top talent and raise the quality bar quickly. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
APAC Sales Development Leader
About the team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, Retail, Manufacturing, Technology, and other key industries across Asia Pacific to build AI-powered customer experiences, transform operations, and accelerate innovation. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin. About the role We are hiring a APAC Sales Development Leader to build and lead OpenAI’s enterprise Sales Development organization across Asia Pacific. Reporting directly to the Head of Global Sales Development, this role is a core part of the Enterprise GTM leadership team. This is a high-impact leadership role focused on scaling pipeline generation and market development across a diverse and rapidly growing region. You will define how OpenAI engages enterprise customers across APAC, build regional SDR leadership and teams, and create the operating model that converts product interest, developer activity, and inbound demand into high-quality pipeline for our Enterprise and Strategic Accounts organizations. In this role, you will - Build and scale OpenAI’s APAC Sales Development organization, including hiring strategy, org design, enablement, and performance management. - Lead and develop front-line SDR managers and SDR teams across key APAC markets. - Own the regional enterprise pipeline generation strategy, ensuring consistent, high-quality opportunity creation across the region. - Translate product usage, pilots, developer engagement, and inbound interest into qualified enterprise opportunities. - Develop localized and vertical-specific SDR motions tailored to APAC markets and buying environments. - Partner closely with Sales, Marketing, Field Engineering, Partnerships, and Strategy & Ops to drive a coordinated regional GTM motion. - Establish scalable outbound, inbound, ABM, partner-led, and product-led pipeline generation playbooks. - Build a data-driven operating cadence focused on pipeline quality, conversion, velocity, and long-term revenue impact. - Help define OpenAI’s market expansion strategy across APAC, including investment prioritization and territory planning. - Serve as a strategic partner to regional sales leadership on how to capture and accelerate enterprise demand. You may thrive in this role if you - Have 10+ years of experience in enterprise sales, revenue, or GTM leadership. - Bring significant experience leading SDR or pipeline generation organizations across APAC. - Have experience managing distributed, multicultural teams across multiple countries and time zones. - Have built or scaled enterprise demand generation engines in fast-growing technology or platform businesses. - Are fluent in product-led and usage-based GTM motions (PQLs, pilots, free-to-paid, expansion). - Understand the complexity and nuance of enterprise selling across APAC markets. - Are highly data-driven, with strong experience in forecasting, pipeline analytics, and operational rigor. - Thrive in matrixed organizations spanning Sales, Product, Marketing, Partnerships, and Operations. - Are an exceptional talent builder with the ability to coach leaders and influence senior stakeholders. - Bring strong executive presence and the ability to engage with enterprise customers and partners across the region. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Core Network Engineering
About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. About the Role We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: - Design, build, and operate networking systems that support large-scale AI training and inference infrastructure - Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems - Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure - Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation - Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects - Define and operationalize networking protocols, readiness criteria, and continuous validation systems - Partner closely with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth - Contribute to architecture decisions around topology design, capacity planning, failure domains, and network reliability - Diagnose complex distributed systems and networking issues across large heterogeneous compute environments You might thrive in this role if you: - Have experience building or operating large-scale networking or distributed systems infrastructure - Are comfortable working close to the hardware/software boundary - Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software - Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics - Have experience with datacenter networking, WAN systems, or host networking stacks - Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack - Are comfortable writing production software in languages such as C++, Python, or Go - Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering - Are motivated by building infrastructure that directly accelerates frontier AI research and deployment 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Systems Software Engineer, Management Plane
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 We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: - Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics. - Own integration and acceptance of partner and vendor software releases, including requirements, code and artifact review, reproducible builds, CI, regression monitoring, version tracking, acceptance criteria, and launch-readiness evidence. - Build and maintain automation and CI infra for testing and managing systems in our lab - Define and debug hardware management protocols across accelerators, host systems, management controllers, firmware, and platform services, including interfaces such as I2C, SMBus, PMBus, PCIe, Ethernet, GPIO, UART, and JTAG. - Build system health monitoring, telemetry, remote diagnostics, and recovery paths that make hardware failures diagnosable in the lab, at manufacturing partners, and in production data centers. - Develop validation and test automation for board bring-up, rack bring-up, qualification, manufacturing readiness, deployment readiness, and long-term reliability. - Convert engineering releases into manufacturing-ready software recipes: images, versions, logs, limits, remediation mapping, provisioning hooks, secure artifact handling, and traceable data export. - Debug complex production issues spanning hardware signals, BMC firmware, BIOS/UEFI, kernel drivers, platform services, network topology, PCIe behavior, power, thermals, boot, provisioning, and manufacturing test. - Partner with hardware, firmware, security, networking, infrastructure, manufacturing, operations, and external engineering teams to define software contracts, unblock bring-up, and drive issues to closure. - Produce durable architecture notes, runbooks, validation records, and decision documents that help OpenAI and partner teams reproduce, operate, and improve the platform. You might thrive in this role if you: - 7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in low-level system software, embedded software, firmware, BMC software, platform software, device drivers, or hardware diagnostics. - Strong programming skills in C, C++, Rust or similar systems languages, with experience building reliable software for real hardware. - Experience with Linux-based hardware platforms, embedded Linux, OpenBMC, Redfish, BMCWeb, IPMI boundaries, BIOS/UEFI, bootloaders, firmware update systems, kernel drivers, RTOS, or fleet management software. - Strong knowledge of hardware/software interfaces such as I2C, SMBus, PMBus, SPI, PCIe, Ethernet, USB, UART, GPIO, JTAG, power controllers, board-level debug tools, or protocol analyzers. - Demonstrated ability to debug live hardware using logs, packet captures, firmware traces, bus captures, lab hosts, BMC journals, Linux tooling, and carefully controlled experiments. - Experience with hardware bring-up, manufacturing or qualification testing, system diagnostics, release validation, or deployment of high-performance compute, accelerator, server, networking, storage, or embedded platforms. - Ability to reason across software, firmware, hardware, manufacturing, and operations boundaries, and to turn ambiguous problems into clear requirements, designs, tests, and decisions. - Proven track record working with external vendors, manufacturing partners, or partner engineering teams to define deliverables, review technical work, and drive issues to closure. - Familiarity with platform security topics such as secure boot, firmware signing, device provisioning, attestation, certificate handling, trusted update flows, or access-control design is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full-Stack Software Engineer, Applied Foundations
About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Full-Stack Software Engineers to design and implement safe services, systems and infrastructure that power our core products. In this role, you will: - Architect, build, and improve frontend and backend systems. - Work across the full stack to build products and systems from initial exploration through launch readiness. - Participate in long-term architectural planning and technical design reviews. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You might thrive in this role if you: - Have built and shipped full-stack apps or systems end-to-end — in fast-moving, startup-like environments. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Enjoy building resilient products and services that handle large scale and complexity. - Are self-directed and enjoy figuring out the best way to solve a particular problem - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Backend Software Engineer, Applied Foundations
About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Backend Software Engineers to design and implement safe services and infrastructure that power our core products. What You’ll Do - Architect, build, and improve scalable backend systems and APIs. - Drive performance, reliability, and safety across distributed services. - Implement data storage, retrieval, compute, and integration solutions. - Participate in long-term architectural planning and technical design reviews. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You Might Thrive Here If You: - Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++). - Have experience setting up and maintaining production backend services and data pipelines. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Enjoy building resilient services that handle large scale and complexity. - Are self-directed and enjoy figuring out the best way to solve a particular problem - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Digital Natives
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 new business 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 Tokyo. 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: - Build and manage a pipeline of new business opportunities - Lead our enterprise 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 - Analyze opportunity metrics to create reports and provide insights to internal 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 management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$1M per year for more than 3 years - Managing and executing complex sales cycles with enterprise customers - Closing deals with fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Networking Operating System Firmware Engineer
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 summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. - Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. - Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, and board-specific platform logic. - Extend and customize NOS services for routing, telemetry, control-plane state, and distributed automation. - Implement and debug route, neighbor, next-hop, and ECMP programming flows from control-plane intent through ASIC hardware state. - Build software mechanisms that distinguish control-plane acceptance, SAI/SDK acceptance, and explicit hardware programming acknowledgement. - Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. - Evaluate switch silicon SDK releases, track vendor deliverables, and validate platform requirements with vendors and ASIC partners. - Debug complex issues spanning kernel drivers, platform monitoring, NOS services, routing agents, orchestration services, hardware signals, ASIC state, and network topology. - Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. - Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. - Support factory bring-up and qualification all the way through mass deployment. - Collaborate on networking protocols and technologies that improve performance and reliability at AI factory scale. You might thrive in this role if you have - Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software. - Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code. - Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software. - Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations. - Understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry. - Experience with platform bring-up and board-level debugging across thermal, fan, power, transceiver, LED, watchdog, CPLD, or OSFP CMIS flows. - Experience with OpenConfig gNMI interfaces, YANG data models, or structured telemetry is helpful. - Familiarity with CI/CD pipelines, distributed config and state management, reproducible builds, and large-scale automation. - Ability to independently drive ambiguous NOS or platform feature development from problem definition through implementation, validation, rollout, and debugging across software, hardware, and vendor boundaries. - Familiarity with Rust or Go is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Associate, Japan
About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role We are looking for a senior, high-agency Account Associate to help build and scale our Japan Strategic & Large Enterprise, DNB and Startup motion. This person should be able to create pipeline through thoughtful outbound, strong discovery, disciplined follow-up, and clear stakeholder mapping. This is not a junior execution role. It is a front-line role for someone who can help shape the motion while working closely with Account Directors, technical teams, and HQ. At the same time, this role is designed as a launchpad for future sellers at OpenAI. It’s a highly strategic position with meaningful exposure to enterprise sales, product, and customer strategy. You’ll build core skills in discovery, stakeholder mapping, deal shaping, and executive communication, while developing a deep understanding of how leading companies adopt AI. Recommended Seniority - 7-10 years of total work experience - 3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AE, or similar GTM roles - Some closing or full-cycle sales experience is strongly preferred We’re looking for individuals with 6+ years of total work experience who are motivated to grow into world-class enterprise sellers over time. Many people in this role go on to become Account Directors or take on broader GTM roles, but progression is based on performance and business needs rather than a fixed timeline. In this role, you’ll identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction opportunities for our Enterprise and Strategic Accounts teams. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will: - Run high-quality outbound motions tailored to Japan Strategic & Large Enterprise, DNB and Startup accounts - Turn product usage, inbound interest, pilot activity, and outbound efforts into qualified pipeline - Partner with Account Directors on account strategy, multi-threading, and deal progression - Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness - Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals - Build and iterate on AI-enabled GTM workflows (GPTs/Agents) to scale prospecting and qualification - Provide local market feedback to HQ and help improve playbooks for Japan Must-Have Qualifications - Native or near-native Japanese, with strong business communication skills - Business-level English, with the ability to work effectively with HQ and cross-functional teams - Strong track record in B2B SaaS, technology sales development, startup sales, or similar roles - Proven ability to generate pipeline through outbound prospecting and inbound qualification - Strong discovery skills, follow-up discipline, and stakeholder mapping ability - Comfortable speaking with technical buyers such as Product, Engineering, IT, Data, or Security stakeholders - High ownership, strong judgment, and comfort operating in an ambiguous and fast-moving environment Preferred Qualifications - 7-10 years of total work experience - 3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AD, or similar GTM roles - Some closing or full-cycle sales experience is strongly preferred - Can build trust quickly with Japanese customers - Experience in startup or high-growth environments selling into regulated or complex industries (Financial Services, Life Sciences, Retail) - Some closing or full-cycle sales experience and a track record of consistently hitting and exceeding ambitious targets - Experience selling API, developer tools, cloud, data, security, or other technical products - Strong hands-on experience using AI, with a deep interest in the landscape and the ability to translate OpenAI products into clear, tangible business value for customers - You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership - Can act as a strong bridge between Japan market needs and HQ 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Manager, Financial Engineering
About the Team Our team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale. OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission. About the Role We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams. This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio - Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers - Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes - Collaborate with other product teams to defining OpenAI’s evolving monetization strategies and the capabilities we need in our core billing infrastructure - Use data to better understand internal and external user needs and guide future product development - Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering. You might thrive in this role if you: - Have 6+ years of product management or related industry experience. - Obtained a bachelor's degree in Accounting, Finance, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. - Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones. - Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders - Showcase strong leadership, organizational, and execution skills, along with proven communication abilities. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Market Research Lead
About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: - Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. - Design, execute, and deliver high-impact research using mixed methods. - Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. - Translate business questions into research plans. - Translate data into clear, compelling narratives. - Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle - Shape go-to-market strategies for technical products including positioning, messaging, and developer segmentation. You might thrive in this role if you have: - 10+ years experience in data analysis, mix-method user or market research. - Experience with independently executing full-cycle research from research design to reporting. - Extensive background in quantitative and qualitative research, including hands-on experience in survey/discussion guide development and data analysis (weighting, data cleaning, regression, etc.). - Experience directing agencies/vendors to deliver results. - Experience using data from various sources, including behavioral and product usage data, to influence executives and stakeholders - Experience conducting research with developers, technical users, or B2B audiences. - Experience with product or GTM strategy research (positioning, messaging development, etc.), brand research, campaign development, and tracking - Experience with statistical analysis tools and survey programming tools. - Experience conducting global research studies - You could be an especially great fit if you have experience with behavioral data. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Owner — AI Reliability Engineering
Basic Qualifications Education Requirements: Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Master's degree, plus a minimum of 3 years of relevant experience. Clearance Requirements : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position ROLE AND POSITION OBJECTIVES: What You'll Own The backlog. Define, prioritize, and maintain the pod's work backlog based on business value, stakeholder input, and technical feasibility. Every item has a clear definition of done. The value case. Articulate why each initiative matters — cost savings, efficiency gains, risk reduction, user impact. You quantify value, not just describe it. Stakeholder alignment. Manage expectations across executive leadership, functional organizations, and the pod team. When priorities conflict, you make the call and own the decision. Risks and milestones. Identify risks early, escalate what you can't resolve, and ensure the pod hits its commitments. You track progress through outcomes delivered, not activities completed. Acceptance and validation. You are the final voice on whether what the pod builds meets the business need. You work with Domain SMEs to validate but the decision is yours. What You Won't Own Technical architecture or engineering decisions — that's the Lead Architect's job Day-to-day task management or sprint mechanics — the team self-organizes People management, performance reviews, or HR administration What Makes This Role Different You are not a proxy or a facilitator. You have real decision authority over what the pod builds and in what order. You are working on enterprise-scale AI modernization — replacing legacy ERP, HRM, CRM, and manufacturing systems with AI-native applications. These are hard, consequential problems. You will work directly with ELT-level stakeholders and have the backing of the CDAIO organization. The pod model is new. You will help define how it works, not just operate within a playbook someone else wrote. Required Qualifications Bachelor’s degree plus 8 years of experience in product ownership, product management, or business analysis in a technology-driven environment Demonstrated experience owning a product backlog and making prioritization decisions — not just writing user stories for someone else to prioritize Experience working directly with engineering teams on software delivery — you understand what it takes to ship software and can have credible conversations with engineers Strong communication skills — you can present to executives and translate between business needs and technical reality without losing fidelity in either direction Experience with enterprise systems (ERP, CRM, HRM, MES, or similar) — you understand the complexity of business processes these systems support U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire. Preferred Qualifications Experience in a product owner or product manager role during a system modernization or legacy replacement effort Familiarity with AI/ML concepts — you don't need to build models, but you should understand what AI can and cannot do so you can make informed trade-off decisions Experience in manufacturing, defense, or complex enterprise environments where process compliance and change management matter Track record of managing stakeholders who have competing priorities — you have made unpopular decisions and stood behind them What Sets You Apart You think in outcomes, not outputs. You measure success by what changed in the business, not what the team delivered. You make decisions. When information is incomplete, you make the best call you can and adjust. You don't wait for consensus. You protect the team's focus. You say no to work that doesn't serve the priority, even when the request comes from someone senior. You can explain a complex technical initiative to a VP in two minutes and have them walk away understanding why it matters. You have been accountable for delivery before — not just involved in it. Details Remote — 100% telework 9/80 schedule Defense industry experience is not required LI-Hybrid Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range USD $124,397.00 - USD $138,003.00 /Yr. Company Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Technical Deployment Lead - Singapore
About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role This is a founding role. As EMEA’s first Deployment Lead (DL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Productivity - Model Performanc...
About the Team We’re hiring software engineers to make OpenAI’s Model Performance teams more productive. These teams work on the systems, tooling, and infrastructure that help improve model performance across OpenAI’s training and inference workloads at frontier scale. About the Role We’re looking for an autonomous, high-ownership developer productivity engineer who cares deeply about helping other engineers move faster, safer, and with more confidence. This role will sit within OpenAI’s Model Performance organization, contributing to developer infrastructure, CI systems, testing workflows, tooling, and broader performance infrastructure efforts. There is also a strong opportunity to contribute to the Triton project and help improve the systems that support performance-critical engineering work across OpenAI. In this role you will: - Improve development workflows for engineers working on model performance infrastructure - Design and improve CI/CD, release, validation, and testing pipelines - Build and maintain tools that improve reliability, iteration speed, and engineering confidence - Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows - Contribute to infrastructure efforts that support performance-critical training and inference systems - Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure - Work in a high-context, ambiguous environment where ownership and good judgment matter You might thrive in this role if: - You are motivated by enabling the people around you and helping engineers do their best work - You have strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows - You are highly collaborative, empathetic, and comfortable partnering deeply with technical teams - You are strong in Python and enjoy building reliable, scalable developer tools and infrastructure - You have experience improving large-scale engineering workflows, especially around CI reliability, test infrastructure, and debugging velocity - You are self-directed and comfortable operating with ambiguity - You do not need direct inference or model performance experience, but you are excited to learn the domain and make the team meaningfully more effective - Experience in the PyTorch ecosystem is highly relevant - Experience with C++ or Rust is a nice-to-have, but not required - When you see repeated friction — slow tests, flaky CI, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system - You are pragmatic and know how to balance high standards with forward progress 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Owner, DevX and AI — Shop Builder
ABOUT YOU We are looking for a Product Owner, DevX and AI who is developer-obsessed, systems-minded, and energized by building platforms that other builders rely on — to join our Shop Builder team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own a roadmap that directly shapes how publishers and developers integrate, extend, and monetize through Xsolla. Strong analytical skills and technical expertise are essential, along with experience in developer-facing products, APIs, SDKs, or platforms where other builders are your customer. The ability to translate developer friction into sequenced roadmap decisions and manage cross-functional dependencies will be key to your success in this role. If you’re passionate about advancing developer experience and love building innovative API surfaces and AI-native tooling that give game developers the power to build and monetize however they want, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Product Owner, DevX and AI — Shop Builder position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data and proprietary platform systems Managing partner and publisher relationships involving sensitive integration data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. What We’re Building Shop Builder is Xsolla’s storefront platform, used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. The platform is built around a core commitment: publishers can run their business how they want, with their brand, their frontend, and their integrations. Delivering on that commitment requires a deep developer layer that enables our partners to monetize their games however they want to. The DevX and AI team owns the public APIs, documentation, and AI features that give developers, and AI agents, the full surface they need to customize and extend the platform. This team enables publishers to build what they need independently, and accelerates our own teams who deliver custom integrations for clients. Responsibilities Own the roadmap. Decide what gets built, in what order, and why. Maintain a clear rationale the team and stakeholders can rely on. Represent developers. Engage directly with partners, agencies, and the teams who build on Shop Builder’s APIs. Surface their friction and translate it into product requirements. Define API shape and scope. Collaborate with engineers to specify what each API surface exposes, what it withholds, and what format developers and agents expect. Coordinate across teams. The APIs this team ships depend on teams across Xsolla, including payments, auth, catalog, and live ops. Own those relationships and keep them moving. Set the definition of done. Documentation, evals, developer experience quality, and partner feedback are part of shipping — not afterthoughts. Qualifications & Skills 4+ years of product experience, with meaningful time spent on developer-facing products, APIs, SDKs, developer tooling, or platforms where other builders are your customer. Software development background, with time writing and shipping code to production systems. You understand what makes a developer experience work, and you hold that standard in specs, reviews, and tradeoff conversations. Genuine interest in the craft of developer experience: reading and debating API contracts, sweating the details of an SDK interface, understanding why a CLI flow breaks down, and finding the friction points developers hit before they say anything. Comfort with a fast-moving domain. AI-native development is changing quickly, and you’ll need to make good prioritization calls without waiting for the picture to fully settle. Systems thinking. You understand second-order consequences and can articulate your reasoning clearly to engineering and business leadership. Experience with AI-native developer workflows (MCP, agents, LLM-integrated tooling) is a meaningful advantage. This team builds for AI as a first-class user of the platform. Why This Team Publishers expect control. They want their storefront to reflect their brand, integrate with their stack, and adapt to how they operate. The developer surface this team owns is what makes that possible at scale. AI is accelerating what’s possible here faster than most platforms are moving. Agents that can build and deploy a working webshop from a prompt are on the near-term roadmap. The team is well-positioned to lead this, and the PO role is central to making it land well. You’ll join a team with real momentum, take on meaningful ownership quickly, and have direct visibility to engineering and business leadership.
Capacity Systems Software Engineer
About the Team OpenAI's Industrial Compute organization is responsible for planning, delivering, operating, and optimizing the compute infrastructure that powers frontier AI. As OpenAI scales toward becoming an intelligence utility, Industrial Compute coordinates a complex lifecycle spanning infrastructure strategy, capacity planning, provider partnerships, fleet operations, product demand, and financial planning. The organization manages one of the largest and fastest-growing compute footprints in the world, where decisions around capacity allocation, deployment readiness, utilization, reliability, and product demand directly impact product availability, customer experience, and business performance. The Capacity Systems team builds the software platforms, data systems, and automation frameworks that connect these functions into a shared operating model. We transform fragmented planning workflows into scalable systems that enable teams to understand what compute was contracted, delivered, healthy, allocated, and ultimately converted into business and research outcomes. About the Role We are seeking a Capacity Systems Software Engineer to build the platforms and services that power Industrial Compute planning, forecasting, optimization, and operational decision-making. In this role, you will design and develop software systems that connect infrastructure delivery, fleet health, capacity allocation, demand forecasting, deployment readiness, financial planning, and product consumption into a unified system of record. Your work will help OpenAI make better decisions about where compute should be deployed, how capacity should be allocated, and how infrastructure investments translate into business value. You will partner closely with Capacity Planning, Fleet Operations, Infrastructure Engineering, Product, Finance, Supply Chain, and Strategic Sourcing teams to replace spreadsheet-driven workflows with scalable software systems that enable visibility, automation, and decision support across OpenAI's global compute footprint. This role is ideal for engineers who enjoy building internal platforms, operational systems, workflow automation, and data-intensive applications that sit at the intersection of software, infrastructure, and business operations. This role is based in San Francisco and follows OpenAI's hybrid work model of 3 days per week in the office. Why This Role Matters Demand for compute is growing faster than traditional planning systems can support. Capacity decisions increasingly require understanding complex tradeoffs across infrastructure delivery, fleet health, model deployment, latency, utilization, cost, revenue impact, and operational risk. The systems built by this team help transform compute from a collection of disconnected operational signals into a measurable, optimizable business capability. Success in this role will help create a world where every major unit of compute can be traced from infrastructure commitment through delivered business value, enabling faster launches, higher utilization, improved operational efficiency, and better decision-making across OpenAI. Key Responsibilities - Design and build software systems that serve as the system of record for Industrial Compute planning and operations. - Develop backend services, APIs, workflows, and data platforms that support capacity forecasting, allocation, deployment readiness, and operational planning. - Build applications that connect infrastructure delivery, fleet health, capacity utilization, product demand, and financial planning into a shared operational view. - Build planning and scenario-modeling systems that help leaders understand tradeoffs across capacity, utilization, cost, reliability, launch timing, and business impact. - Create workflow automation and decision-support tooling that improves planning accuracy and reduces operational overhead. - Partner with Capacity Planning, Fleet Operations, Product, Finance, Infrastructure Engineering, Supply Chain, and Strategic Sourcing teams to understand operational workflows and translate them into software systems. - Drive architecture decisions across planning platforms, operational tooling, and internal infrastructure systems. - Improve data quality, observability, and operational visibility across Industrial Compute programs. - Build extensible software foundations that scale alongside OpenAI's rapidly growing infrastructure footprint. Qualifications - 5+ years of experience in software engineering, platform engineering, infrastructure engineering, or related technical disciplines. - Strong programming experience in Python, Go, Java, TypeScript, or similar languages. - Experience building distributed systems, backend services, internal platforms, workflow systems, or operational tooling. - Experience designing APIs, data pipelines, and integrations across multiple systems. - Strong system design and software architecture skills. - Experience working with large operational datasets and business-critical workflows. - Ability to operate effectively in highly cross-functional environments and translate ambiguous operational challenges into scalable technical solutions. - Strong ownership mindset and ability to independently drive complex projects. Preferred Skills - Experience building planning systems, forecasting platforms, optimization engines, or decision-support tools. - Experience with SQL, data warehouses, orchestration frameworks, analytics platforms, and distributed data systems. - Experience supporting infrastructure, cloud platforms, data centers, hardware deployment programs, or large-scale operational environments. - Familiarity with capacity planning, supply chain systems, financial modeling, or infrastructure operations. - Experience replacing spreadsheet-driven workflows with scalable software platforms. - Experience building systems that support scenario planning, forecasting, optimization, or resource allocation. - Familiarity with AI infrastructure, hyperscale compute environments, or large-scale distributed systems. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Product Owner (AI‑Native Product Lead)
Overview The AI-Native Product Lead is a team-embedded product role responsible for translating business needs into clear, testable, and technically actionable requirements and owning the product backlog for a single AI-Native team. This role serves as the product owner for the team, working closely with the AI-Native Tech Lead and engineers to ensure the team is focused on building valuable, usable, and high-quality software. This role focuses on solution definition through requirements gathering, feature and user-story creation, backlog prioritization, and story acceptance, while operating within a small, focused team and enabling delivery through AI-assisted engineering workflows. A key responsibility of the AI-Native Product Lead is to provide product intent and grounding context that guide both human and AI-assisted development. This includes clearly articulating problem statements, constraints, desired outcomes, and acceptance boundaries so that implementation decisions remain aligned as delivery accelerates. The AI-Native Product Lead also performs high-fidelity epic validation, ensuring epics are sufficiently precise, well-scoped, and grounded before decomposition into features and stories. This validation reduces ambiguity, prevents downstream rework, and enables effective use of AI-assisted development. The AI-Native Product Lead ensures the team builds the right capabilities, with the right scope, at the right time, while maximizing delivery speed and quality. The AI-Native Product Lead does not need to be an AI or ML specialist but must understand how AI-enabled development changes delivery speed, iteration cycles, and product discovery. Responsibilities Principal Responsibilities and Essential Duties: Product Ownership Own the single-team product backlog. Ensure continuous backlog readiness to support fast, iterative delivery. Make day-to-day scope and sequencing decisions to minimize delivery friction and rework. Requirements & Solution Definition Conduct interviews and requirements workshops with business and technical stakeholders to elicit and clarify business needs. Translate business needs into well-structured, testable requirements. Maintain clear, precise documentation that enables efficient and accurate implementation. Product Intent & Grounding Context Provide clear product intent by articulating the problem being solved, desired outcomes, and constraints. Supply grounding context for both engineers and AI-assisted development workflows, including domain assumptions, user behaviors, system invariants, and acceptance boundaries. Ensure intent and context remain current as requirements evolve, preventing misalignment. Act as the primary source of truth for what success looks like at the epic, feature, and story level. High-Fidelity Validation Perform high-fidelity validation of epics before decomposition into features. Ensure epics are sufficiently precise, well-scoped, and grounded to support AI-assisted implementation. Identify & resolve ambiguity, hidden assumptions, and incomplete intent early to reduce downstream rework. Validate that epics are actionable, testable, and aligned with architectural constraints prior to execution. Serve as a quality gate ensuring epics are ready for accelerated delivery within an AI-Native dev model. Continuous Delivery Validation & Outcome Alignment Continuously validate work against product intent, grounding context, and expected outcomes as implementation progresses. Provide in-flight clarification and refinement of requirements to maintain alignment as engineers and AI-assisted workflows iterate rapidly. Perform incremental acceptance of capabilities as they emerge, focusing on correctness, completeness, and behavioral alignment rather than ceremony milestones. Ensure delivered functionality is usable, extensible, and aligned with domain constraints, system boundaries, and quality expectations. Detect gaps between intended and actual outcomes early and drive corrective action before scale or automation amplifies defects. Stakeholder Communication Communicate progress, scope tradeoffs, risks, and delivery outcomes to stakeholders. Act as the primary product point of contact for the AI-Native team, ensuring alignment between business intent and engineering execution. Complete all responsibilities as outlined on annual Performance Plan. Complete all special projects and other duties as assigned. Must be able to perform duties with or without reasonable accommodation. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change. Qualifications Bachelor’s degree in a related field or equivalent practical experience. 6+ years’ experience in product ownership, product management, or business analysis roles within Agile delivery environments. Strong experience translating business problems into clear, testable product and technical requirements. Excellent written and verbal communication skills. Proven analytical and problem‑solving skills, with experience in systems modeling, workflow analysis, or solution design. Ability to learn complex domains quickly; healthcare experience preferred. Experience with systems modeling, user interface design, and prototyping, decision trees, data flow. A wide degree of creativity and latitude is expected. Mental Requirements: Critical Thinking : Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations. Attention to Detail : must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting. Quantitative Aptitude : Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations. Data Interpretation : skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively. Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions. Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices. Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment. Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided. Physical Requirements and Working Conditions: Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands, and/or fingers. Must be able to provide a dedicated, secure work area. be able to provide high-speed internet access/connectivity and office setup and maintenance. No adverse environmental conditions expected. Base compensation ranges from $90,000 to $124,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. This role is based remotely and all interviews will be conducted virtually. Date of posting: 03/16/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 06/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. LI-REMOTE LI-MD1 SENIOR
Software Engineer, Productivity - Networking
About the Team We’re hiring software engineers to make OpenAI’s networking teams more productive. These teams build and operate the high-performance networking systems that support OpenAI’s training and inference infrastructure at frontier scale. About the Role We’re looking for someone who cares deeply about the developer experience of engineers working on complex infrastructure systems — especially around build systems, test architecture, release pipelines, and reliable development workflows. This role will be embedded with OpenAI’s networking team: making it faster, safer, and easier for engineers to build, test, validate, and ship changes across multi-server, networked, and hardware-adjacent environments. In this role you will: - Improve development workflows for engineers building and operating OpenAI’s networking systems - Design and improve continuous deployment, release, and validation pipelines - Build and maintain test harnesses for multi-server, networked, and hardware-backed environments - Improve iteration speed across C++, Python, and build-system-heavy codebases - Partner with engineers to identify friction in CI, testing, debugging, and deployment workflows - Drive testing and reliability strategy for infrastructure components that support large-scale training and inference workloads - Work closely with centralized developer experience teams while staying deeply embedded with the networking engineers closest to the systems You might thrive in this role if: - You are motivated by helping other engineers move faster and with more confidence - You have experience with CI/CD, release pipelines, testing infrastructure, or build systems - You are comfortable moving between C++, Python, and build systems such as CMake, Bazel, or Blaze - You enjoy building test harnesses, automation, and workflow improvements for complex systems - You do not need to be a networking expert, but you are excited to learn enough about the domain to make the team meaningfully more effective - When you see repeated friction — slow builds, flaky tests, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system - You are pragmatic and know how to balance high standards with forward progress - You like going end-to-end: understanding the engineers, the workflows, the codebase, and the operational realities behind the system - You are self-directed and comfortable operating with ambiguity in a high-context infrastructure environment 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Compute Infrastructure
About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams. Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage. About the Role We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may not be the strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you. Depending on your background and interests, you might work close to hardware, close to users, on CaaS and agent infrastructure, or on the control planes and data planes in between. You could help bring new supercomputing capacity online, optimize training workloads from profiler traces and benchmarks, improve NCCL and collective communication behavior, reason about GPUs, NICs, topology, firmware, thermals, and failure modes, or design abstractions that make heterogeneous clusters feel like one coherent platform. We do not expect every candidate to have worked at every layer. Some engineers will go deep on systems performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware behavior, benchmarking, scheduling, or hardware reliability; others will make the platform more usable through APIs, tools, workflows, and developer experience. The common thread is strong engineering judgment and excitement about making enormous compute systems faster, more reliable, and easier to use. This is a general opening for Compute Infrastructure. We will consider candidates for teams across Compute Infrastructure and match you based on your strengths, the problems that motivate you, and where the infrastructure needs are highest. Where you might work - Compute Foundations: Build the low-level platform primitives that make heterogeneous hardware, providers, and data centers repeatable, automatable, and operable at scale. - Fleet / Orchestration: Turn raw capacity into reliable, efficient clusters and scheduling systems that researchers and product teams can use with minimal friction and great experience. - Core Network Engineering: Build and operate the high-performance networking fabrics, protocols, and observability needed for the largest training and serving workloads. - Hardware Health and Observability: Detect, diagnose, remediate, and prevent hardware and fleet-health issues so usable compute stays high across providers and accelerator generations. - Storage: Build scalable, performant, durable storage abstractions that keep data movement and storage access from becoming a bottleneck to research or products. - Agent Infrastructure: Build sandboxed execution infrastructure for agentic workloads across research and production, with strong isolation, reliability, and scale. In this role, you will: - Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads - Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health - Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks - Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone - Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction - Turn operational lessons into better systems, stronger abstractions, and clearer ownership boundaries across teams - Collaborate across research, engineering, security, networking, hardware, and data center teams to make compute capacity more capable and easier to use You might thrive in this role if you: - Have built or operated distributed systems, infrastructure platforms, high-performance computing environments, large-scale networking systems, Kubernetes clusters, developer tools, or production systems with demanding reliability requirements - Enjoy working across layers of the stack and are comfortable moving between software, hardware, networking, systems performance, reliability, and user needs - Care about making complex infrastructure understandable, observable, and usable for the people depending on it - Can diagnose hard problems under real operational pressure while still investing in long-term engineering quality - Like building leverage for others, whether through APIs, automation, debugging tools, CaaS and agent infrastructure primitives, workflow improvements, or better platform abstractions - Are motivated by scale, efficiency, reliability, and disciplined measurement through benchmarks, profiles, and production evidence - Communicate clearly, take ownership, and work well with teams whose constraints and goals differ from your own Qualifications - Strong software engineering skills and experience building, operating, or improving production infrastructure systems - Experience in one or more relevant areas such as distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes, scheduling, observability, reliability engineering, high-performance computing, GPU infrastructure, CaaS, agent infrastructure, hardware-aware performance optimization, benchmarking, developer experience, or infrastructure tooling - Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements - Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions - Interest in working on infrastructure that directly enables frontier AI research and product impact 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Tokens-as-a-Service (Taas) Software Engineer
About the Team The GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities. We enable OpenAI workloads to be qualified and optimized across new accelerator platforms without requiring a one-off port and tuning effort for every hardware target. Our work spans distributed systems, model execution, compilers and runtimes, performance engineering, secure partner integrations, evaluation systems, and developer tooling. We build the infrastructure that makes optimization workflows automated, reproducible, and trustworthy. About the Role We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries. Key Responsibilities - Design, build, and operate APIs and control-plane services for long-running workload qualification and optimization campaigns, including scheduling, retries, checkpointing, resource budgets, and observability. - Build secure partner-side execution and evaluation software that can compile, run, verify, profile, and benchmark candidate artifacts on accelerator hardware. - Integrate model workloads, hardware profiles, compiler toolchains, runtimes, serving engines, and distributed-execution backends into a repeatable platform. - Develop correctness and performance evaluation systems spanning output fidelity, latency, throughput, memory footprint, accelerator utilization, communication efficiency, scaling behavior, and cost efficiency. - Automate the generation, evaluation, and improvement of kernels, runtime configurations, parallelization strategies, and serving-stack changes. - Diagnose performance and correctness issues across model code, kernels, compilers, runtimes, memory systems, networking, collective communication, and hardware. - Build artifact-management, provenance, regression-testing, and qualification workflows for kernels, binaries, configurations, evaluation results, and deployment reports. - Turn experimental research workflows into reliable product surfaces with clear interfaces, actionable failure modes, and strong developer ergonomics. - Collaborate with Research, Inference Engineering, Runtime and Compiler teams, Infrastructure, Security, Product, and Strategic Partnerships to onboard and optimize new compute platforms. - Drive technical architecture and execution across ambiguous initiatives spanning OpenAI systems and partner environments. Qualifications - Strong software engineering experience building distributed systems, infrastructure platforms, production services, developer platforms, or orchestration systems. - Proficiency in one or more systems-oriented languages such as Python, C++, Go, or Rust. - Experience designing and operating APIs, job orchestration systems, durable workflows, or large-scale backend services. - Strong understanding of Linux, networking, storage, containers, distributed execution, and modern infrastructure architectures. - Ability to reason about model execution and diagnose problems across software and hardware boundaries. - Experience using profiling, tracing, benchmarking, and measurement to guide engineering decisions. - Strong ownership and the ability to work effectively across research, engineering, security, product, and external-partner teams. Preferred Skills - Experience with AI infrastructure, model inference, distributed ML systems, or inference-serving platforms. - Familiarity with GPU or accelerator architecture, memory hierarchies, interconnects, collective communication, and distributed model execution. - Experience with compilers, runtimes, kernels, or performance engineering using technologies such as CUDA, ROCm, Triton, LLVM, or MLIR. - Familiarity with inference engines or serving systems such as vLLM, SGLang, Triton Inference Server, or comparable internal systems. - Experience with model partitioning, sharding, tensor or expert parallelism, and compute–communication tradeoffs. - Experience building remote-execution systems, secure partner-facing infrastructure, evaluation harnesses, or artifact pipelines. - Experience with automated optimization, search systems, coding agents, or evaluator-driven systems that iteratively improve kernels or runtime configurations. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Inference - Performance Optimiz...
About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will Build and refine performance models that translate microbenchmark results into cost-to-serve estimates. Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput. Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you: Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency. Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling. Have deep expertise with performance profiling, benchmarking, analysis, and optimization. Enjoy collaborating with engineering and research teams to improve real production systems. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Finance Lead, Corporate Finance and Capi...
About the Role We’re looking for a senior Strategic Finance Lead to help shape and execute OpenAI’s financial strategy across some of the company’s most important long-term investments and growth priorities. This high-impact role sits at the intersection of corporate finance, capital markets, treasury, and cross-functional execution. In this role, you will: - Shape financial strategy for major long-term investments, capital structure decisions, and broader strategic decision-making. - Build rigorous financial models and scalable frameworks to evaluate strategic initiatives, funding options, tradeoffs, and risk. - Structure and help execute complex strategic initiatives in partnership with cross-functional teams. - Translate ambiguous technical and business inputs into clear recommendations and decision-ready materials for executives, the board, and other senior stakeholders. - Lead high-priority cross-functional workstreams from concept through execution, bringing strong judgment, ownership, and communication in fast-moving situations. - Help build an AI-native finance organization by applying AI to improve workflows, decision-making, and execution across finance processes. You might thrive in this role if you have: - 12+ years of experience across strategic finance, corporate finance, capital markets, investment banking, infrastructure finance, or related fields. - A strong understanding of capital structure, financing strategy, debt markets, and large-scale investment evaluation. - Experience operating in high-growth, high-complexity environments with the ability to navigate ambiguity and move quickly. - Exceptional financial modeling, strategic thinking, and problem-solving capabilities. - Strong executive presence with the ability to communicate clearly across investors, executives, and technical stakeholders. - A high-agency operating style that combines strategic perspective with a willingness to build directly. - Excitement around using AI as a core operating advantage, with a mindset toward building AI-native workflows rather than traditional finance processes. - Excellent judgment, low ego, and a collaborative approach to solving hard problems. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full Stack Software Engineer, Agent Enablement
About the Team The Agent Enablement team works across engineering, product, design, and research to bring our technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, and platform barriers. Our commitment is to facilitate the use of AI to enhance lives, supported by rigorous insights into how people use our products. About the Role We are looking for experienced full-stack engineers to join our new Agent Enablement team. Our goal is to design and grow an open ecosystem of agent-enabled sites and services. This is a wide-ranging role: you’ll build new user and agent identity protocols, user experiences to control and observe agents across web, desktop, and mobile, and much more. We will rely on you to drive our technical decisions while also steering our product and partnership direction, optimizing for both short-term impact and long-term success of the ecosystem. We value engineers who are impact-driven, autonomous, and adept at removing barriers to forward progress. In this role, you will: - Design the primitives and protocols for an open agent ecosystem, enabling our users’ agents to make the best use of sites and services across the internet. - Build a next-generation user experience to observe and control agents, across web, desktop, and mobile. - Evolve our approach to token consumption across subscriptions and API customers. - Execute on fast-paced projects in collaboration with research, design, data science and other product engineering teams. - Work closely with our strategic customers and partners to grow the ecosystem. You might thrive in this role if you: - Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production. You’re comfortable working across frontend, backend, APIs, data models, and product design. - Are comfortable with ambiguity and rapidly changing conditions. You view change as an opportunity to bring structure and clarity, and you have a track record of turning high-level ideas into successful outcomes. - Have worked closely with users and customers, and can translate feedback into product improvements. - Are familiar with enterprise software concepts such as identity, permissions, governance, compliance, and billing. - Enjoy fast-moving zero-to-one environments and are excited to pursue an internet-wide vision. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Support Operations Lead
About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from individual customers to early-stage startups and established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role We are seeking a Support Operations Lead who combines operational leadership, systems thinking, vendor management, and hands-on execution. You’ll own service health, automation programs, partner and vendor management. In addition to delivering high-quality service, you’ll identify opportunities to reduce manual work, experiment with tools and help operationalize AI across support at scale. This is not a traditional support operations lead role. We’re looking for someone to help us define the future of support, who thrive at the intersection of team/project management, systems building, data science/engineering, and with deep craft experience in the support operations space. 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. 1-2 weeks of travel per quarter may be required. In this role, you will: - Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains. - Lead multi-site partner management, including commercial ownership, capacity planning and workforce management, QBRs, and performance recovery. - Own end-to-end service governance for partner and vendor teams, including automation rate, cost to serve, first-response time, productivity, and quality. - Set standards for how work gets done at scale, replacing one-off fixes with reusable systems. - Upskill teams and partner with Automation Engineering, Support Engineering, and Fraud & Risk to embed LLM-powered tools into frontline workflows. You might thrive in this role if you: - Have 8+ years of experience leading support operations teams and a strong track record of coaching, driving accountability, and improving performance and automation adoption at scale - Are comfortable managing a team while staying hands-on in solving ambiguous operational problems. - Are fluent in operational data and technical collaboration, able to define metrics, interpret dashboards, design experiments, and partner with engineering and data teams to turn ambiguous support problems into scalable systems. - Think in systems, using process design, data, tooling, and automation to reduce manual work and create durable capacity. - Can partner credibly with technical teams and translate support needs into clear requirements, owning problem definition, adoption, change management, and operational outcomes - Are energized by building structure in a high-growth environment where the support model, tooling, and partner strategy are still evolving. - Have scaled support operations through organizational design and tooling in a high-growth technology company without compromising quality. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Engagement Manager, User Operations
About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role As a Product Engagement Manager on the User Operations team, you will lead a team of Product Engagement Specialists responsible for ensuring smooth, successful product launches across internal and external teams. You’ll be the glue connecting product teams and support operations, equipping teams with the tools and knowledge needed to support new product rollouts. You’ll build scalable feedback loops that capture the voice of the user and translate insights into actionable product improvements, and ensure that frontline teams have the knowledge and skills to deliver accurate, delightful customer interactions at scale. We’re looking for someone who thrives at the intersection of product management, team enablement, and customer advocacy, and who enjoys working cross-functionally in a fast-paced, evolving environment. This person will manage the day-to-day work while also helping architect the systems needed to scale it. The successful candidate will be a leader-coach who can lead a small team while continuing to perform individual contributor work. 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: - Lead a team coordinating product launches across internal and external teams, ensuring seamless execution and support readiness. - Set the team’s strategy and priorities, translate them into clear goals and quality standards, and allocate capacity to deliver against them. - Build a high-performing team through ongoing coaching, feedback, development, and performance management. - Build out a Voice of the User program with scalable feedback loops between support, Product, and Engineering pre and post launch, so customer insights inform product development and strategy. - Advocate for users by representing their needs and pain points in product and engineering discussions. - Partner with Product, Engineering, Marketing, and Operations to align on launch goals and timelines. - Monitor post-launch performance and gather support data to assess product impact and inform improvements. - Document and standardize launch procedures to make them repeatable and scalable. - Identify launch risks and propose solutions that minimize disruption to customers. - Report on feedback-loop performance, including key insights, trends, and recommendations for the product roadmap. You might thrive in this role if you: - Have experience leading product enablement or launch-readiness functions at scale, particularly in a customer support environment. - Have shipped tooling or automations that reduced manual work and scaled beyond a single team (workflows, dashboards, scripted automation, lightweight pipelines)." - Have experience in product management with automation and tool development, using metrics and feedback to improve decisions and processes. - Build strong cross-functional relationships with Product, Engineering, and Operations teams. - Are passionate about customer advocacy and can translate customer feedback into strategic product insights. - Are highly organized and able to manage multiple projects with competing deadlines. - Communicate technical concepts and customer pain points clearly to diverse audiences. - Take ownership of initiatives from ideation through implementation and post-launch analysis. - Thrive in a fast-paced environment with shifting priorities. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
GRC Program Manager, US Government Compliance
About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. We’re excited about building creative solutions to ambiguous security requirements and delivering new technologies to mission critical customers. The GRC team provides security and engineering expertise to ensure our customers’ most critical and stringent requirements are met. We are technical in what we build but are operational in how we do our work, and are committed to obtaining, expanding, and maintaining Authorizations to Operate (ATOs) for critical systems while fostering a collaborative and execution-driven culture. About the Role Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a GRC Program Manager, you’ll play a pivotal role in achieving US government (USG) ATOs and compliance frameworks, including but not limited to FedRAMP and Department of War (DoW),for OpenAI products and support agency-specific ATOs for systems deployed in highly regulated and secure environments. You’ll work closely with engineers, internal stakeholders, and external assessors to design, document, and implement security controls that meet stringent compliance requirements. Your creativity and execution-focused approach will be critical in navigating complex challenges while maintaining the trust of our stakeholders. We’re looking for people who bring: - Proven experience in obtaining and maintaining a FedRAMP ATO and agency specific ATOs in highly restricted environments, within government or regulated sectors. - A deep understanding of USG security frameworks and policies (e.g., NIST, RMF, FedRAMP). - Ability to communicate technical concepts to diverse audiences, including engineers and non-technical stakeholders. - Exceptional technical program management skills, with the ability to multitask and deliver large complex programs under pressure. This role is based in Washington, DC. 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: - Drive the ATO process for FedRAMP and across multiple government clients in restricted environments with minimal oversight. - Collaborate with engineering teams to interpret security requirements and implement controls that balance compliance with operational needs. - Create clear, concise, and technically accurate documentation, including System Security Plans (SSPs), risk assessments, and architecture diagrams. - Act as a subject matter expert during audits and assessments, representing the organization with credibility and expertise. - Continuously refine processes to improve the efficiency and quality of compliance efforts. You might thrive in this role if you: - An active US security clearance. - 5+ years of compliance experience in positions involving information security, data security, or infrastructure or network security. - Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform). - Strong familiarity with core security concepts and technologies, such as authentication, encryption, vulnerability management, and audit logging. - The ability to work collaboratively and effectively in a cross-functional team environment. - Thrive in dynamic environments and can navigate ambiguity with ease. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Tokens-as-a-Service (TaaS) Lead
About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will - Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity. - Convert delivered power, space, and hardware capacity into production-ready token throughput. - Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. - Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. - Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines. - Identify bottlenecks between physical delivery and usable compute output, then lead resolution. - Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs. - Develop repeatable deployment models for future industrial compute expansion. You might thrive in this role if you - Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs. - Understand how power + hardware + networking + software combine into usable compute. - Can operate equally well with engineers, operators, executives, and external partners. - Are highly structured in ambiguous, fast-moving environments. - Know how to escalate intelligently and maintain momentum under pressure. - Can translate technical execution into business outcomes. Preferred Skills - Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs. - Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution. - Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up. - Experience managing multi-billion-dollar infrastructure or capacity programs. - Strong executive communication and stakeholder management skills. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Forward Deployed Engineer - Singapore
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AWS Specialist Seller, Strategic Pursuits
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact. Within OpenAI, the Go-to-Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the role We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co-sell motion. You will partner closely with Account Directors, AWS field teams, and cross-functional stakeholders to identify, shape, advance, and close high-value strategic enterprise engagements. This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive-facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities. This role is based in San Francisco, Seattle, or New York. We operate on a hybrid model of 3 days per week in office and offer relocation support. We are also open to remote candidates based in the United States. In this role, you will: - Lead commercial execution of priority AWS/OpenAI co-sell opportunities across strategic enterprise accounts. - Identify and qualify high-potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise-wide transformation. - Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans. - Develop customer-facing value propositions that connect OpenAI capabilities with business priorities and AWS infrastructure strategies. - Drive executive-level engagement including customer meetings, business case development, negotiations, and account reviews. - Coordinate cross-functionally with Sales, Partnerships, Solutions Architecture, Product, Legal, Finance, and Deal Desk teams to progress complex opportunities. - Build repeatable co-sell playbooks, qualification frameworks, account planning processes, and sales assets to scale the joint motion. - Manage pipeline health, forecasting inputs, deal risks, blockers, and escalation needs across assigned pursuits. - Serve as a trusted advisor to Account Directors by bringing strategic selling expertise and deal-structuring judgment. - Maintain awareness of competitive dynamics across hyperscalers, GenAI platforms, and enterprise AI vendors. You might thrive in this role if you: - Have 15+ years of experience in enterprise sales, strategic business development, cloud partnerships, or complex technology go-to-market roles. - Have a strong track record of shaping and closing large-scale enterprise technology deals. - Bring experience in AI, GenAI, cloud, data, enterprise software, or professional services sales. - Have worked in overlay sales, specialist seller, strategic pursuits, or partner-led co-sell environments. - Understand AWS commercial models, enterprise account planning, cloud commitments, and partner operating rhythms. - Can engage credibly with CIOs, CTOs, CDOs, business leaders, procurement teams, and partner executives. - Demonstrate strong commercial judgment in opportunity qualification, deal strategy, and escalation management. - Thrive in ambiguity and can build new operating motions from the ground up. - Communicate clearly and synthesize technical, customer, and commercial inputs into actionable recommendations. - Have prior experience at AWS, another major cloud provider, a leading enterprise software company, or a high-growth AI company. - Understand partner-led sales motions involving hyperscalers, GSIs, or strategic technology partners. - Bring familiarity with enterprise AI use cases across industries such as financial services, healthcare, retail, manufacturing, technology, energy, or public sector. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Director, Compute & Infrastructure FP&A
About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do - Own compute financial planning & Forecasting. - Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. - Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) - Coordinate closely with Corporate FP&A on timelines and process - Present insights on a monthly basis to senior management. - Drive infrastructure investment decisions. - Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. - Develop frameworks for investment trade-offs to guide executive decision making. - Build scalable tooling & reporting. - Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. - Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). - Drive forecasting accuracy & accountability. - Lead budget vs. actual analysis for compute and infrastructure spend. - Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. - Support close & financial reporting. - Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx). - Translate complex infrastructure costs into clear insights for leadership. - Enable strategic decision-making. - Build scenario models to support leadership decisions on capacity scaling, new model launches, and infrastructure investments. - Lead ad hoc analyses on emerging topics. You Might Thrive in This Role If You Have - 10+ years in strategic finance, with experience in infrastructure, cloud, hardware, or compute-intensive environments - 2+ years in investment banking - Must have experience running an FP&A team at the corporate level or business unit level with significant scale. - Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty. - Experience supporting large-scale infrastructure or cloud spend (e.g., AWS/GCP/Azure, GPUs, data centers). - Ability to translate technical concepts (compute usage, model training/inference, system architecture) into financial insights. - Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus. - Strong cross-functional partnership skills, especially with Engineering, Product, and Supply Chain. - Familiarity with AI/ML infrastructure cost drivers and the economics of training and serving models. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Token-as-a-Service Technical Program Manager
About the Team OpenAI’s Industrial Compute team is responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager for our GPT Infrastructure teams, to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities - Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. - Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. - Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths. - Drive launch execution for new partner regions, clusters, and capacity expansions. - Create operating mechanisms that measure deployed capacity versus usable token output. - Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution. - Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities. - Establish executive-level reporting on delivery status, risks, and token ramp forecasts. - Improve repeatability of partner onboarding, technical integration, and scaling motions. - Manage escalations across internal and external stakeholders during high-severity delivery issues. - Translate ambiguous infrastructure constraints into clear execution plans. - Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems. Qualifications - 8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience. - Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems. - Strong understanding of compute infrastructure, clusters, networking, storage, and production systems. - Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors. - Experience managing executive stakeholders and communicating complex tradeoffs clearly. - Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics. - Comfortable operating in ambiguous, fast-scaling environments. - Strong written and verbal communication skills. - High ownership mentality with bias toward action. - Experience working with external providers, strategic partners, or hyperscalers is highly preferred. Preferred Skills - Experience with GPU clusters, AI infrastructure, or large-scale model serving environments. - Familiarity with token economics, inference capacity planning, or workload scheduling. - Experience scaling global infrastructure through third-party providers. - Background in systems engineering, networking, or hardware deployment programs. - Experience building new operational models in high-growth environments. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Workload Porting & Performance Engineer
About the Team OpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs. Our team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance. About the Role We are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks. In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems. This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries. 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. Key Responsibilities - Port and enable benchmarks and real-world workloads on new hardware platforms. - Evaluate system performance across compute, memory, storage, and networking subsystems. - Identify and analyze performance bottlenecks and inefficiencies. - Adapt and optimize workloads to better utilize hardware capabilities. - Develop and run performance experiments and profiling workflows. - Compare expected vs. observed performance and provide feedback to: - hardware architecture teams - performance modeling teams - system and software engineers. - Debug issues across the stack, including software, runtime, and hardware interactions. - Provide actionable insights to guide platform readiness and deployment decisions. Qualifications - Experience with performance analysis, benchmarking, or workload optimization. - Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems. - Experience porting or adapting workloads across different hardware platforms. - Familiarity with profiling tools and performance debugging techniques. - Ability to identify root causes of performance issues across hardware/software boundaries. - Experience working in large-scale or distributed system environments. Preferred Skills - Experience with AI/ML workloads, including training or inference systems. - Familiarity with GPU or accelerator-based systems. - Experience working with low-level performance tools (profilers, tracing, microbenchmarks). - Background in systems software, compilers, or runtime optimization. - Experience collaborating with hardware and architecture teams on performance validation. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Principal Product Manager, Buying & Optimization
Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards , as well as honors from Digiday ( Best Connected TV Platform) , AdExchanger ( Most Innovative TV Advertising Technology ), and Business Insider ( Hottest AdTech Companies) . Tatari has also been recognized as the Best Place to Work by Inc. Magazine . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. Tatari is looking for multiple Principal Product Managers to join the growing Buying and Execution team. In this role, you will play a pivotal role in redefining CTV advertising in an AI-first world. You will own the development of an AI-powered, self-serve TV platform that turns years of TV and CTV data into actionable intelligence—enabling marketers to plan, launch, and optimize campaigns with the ease of clicking “Go.” Operating at the intersection of product, engineering, data science, and media execution, you will drive requirements, user stories, and delivery for campaign management and execution features across programmatic and direct TV. Your success will be driven by strong product ownership, disciplined execution, and a deep understanding of advertiser workflows, allowing you to prioritize the right problems and deliver differentiated, scalable solutions for marketers at every stage of growth. Responsibilities Own the product vision, strategy, and execution for TV media buying and execution, end-to-end (“soup to nuts”) Define a compelling roadmap that differentiates the platform through automation and AI-driven capabilities Partner closely with Engineering, Data Science, and Media Buying to translate business and customer needs into clear, prioritized product requirements Drive feature prioritization and trade-offs based on customer impact, business value, and scalability of automated TV buying workflows Collaborate cross-functionally with Media Buying, Media Operations, Marketing, and Leadership to ensure alignment and successful launches Continuously monitor industry trends, competitive offerings, and emerging AI technologies to keep the product ahead of the evolving TV and CTV landscape Use data, customer feedback, and experimentation to iterate, optimize performance, and deliver measurable impact Qualifications 8+ years of product management experience in AdTech, with deep expertise in streaming and programmatic CTV advertising (linear TV experience is a strong plus) Proven track record of shipping impactful products, including building new capabilities or platforms from the ground up Strong communicator and influencer, able to articulate a clear product vision and defend roadmap decisions with data and conviction at the executive level Highly customer-centric, with demonstrated skill in uncovering real user needs, writing strong user stories, and solving complex workflow problems Experience partnering closely with Design to address diverse customer needs through user research, prototyping, and thoughtful UX decisions Passion for automation and AI-driven innovation, balanced with a pragmatic, execution-oriented mindset Comfortable operating in ambiguity and fast-moving environments, with a bias toward action and measurable outcomes Nice to haves: experience working with AI/ML-powered products or data-driven optimization systems; familiarity with TV measurement, attribution, or identity challenges Benefits Total compensation $190,000 - $225,000 Equity compensation Health insurance coverage for you and your dependents 401K, FSA, and commuter benefits $150 monthly spending account $1,000 annual continued education benefit $500 Newbie Productivity Perk Unlimited PTO and sick days Monthly Company Wellness Day Off Snacks, drinks, and catered lunches at the office Team building events Hybrid RTO of 2 days per week in office At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. LI-HYBRID
Product Manager, Safety Measurement
About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms. - Define strategic priorities and product roadmaps focused on improving safety measurement approaches will scaling our measurement platform to more use cases, products, and cross-functional team needs. - Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety measurement products. - Develop and continuously refine clear, actionable success criteria that effectively capture our ambitions with safety measurement. - Represent quantitative progress on safety to senior leadership. You might thrive in this role if you: - Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust & safety, integrity, or related domains. - Have a background in data science, statistics, economics, or related fields. - Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas. - Have hands-on experience driving consensus and action in ambiguous spaces. - Excel at identifying and challenging underlying assumptions and constraints through insightful questioning. - Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively. - Enjoy working in a fast-paced, high-growth environment. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Connectivity Software Engineer, Consumer Devices
About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA . We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services - Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) - Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) - Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP - Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) - Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes - Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in this role if you: - Have deep experience shipping wireless features on Linux-based products - Are highly proficient in C/C++ with scripting experience (Python or shell) and systems debugging (gdb, strace, logs, packet traces) - Possess deep knowledge of Bluetooth Classic/BLE (HCI, L2CAP, GATT/GAP, profiles) and Wi-Fi (802.11 a/b/g/n/ac/ax, WPA2/3, nl80211, NAN) - Bring hands-on experience with BlueZ, wpa_supplicant/hostapd, NetworkManager, and driver bring-up on ARM64 or x86 platforms - Have a proven track record of improving real-world performance and reliability under RF constraints Preferred qualifications: - Experience with LE Audio (LC3), BLE Mesh, advanced roaming (802.11k/v/r), QoS/WMM, multicast/IGMP - Coexistence tuning across radios (BT/Wi-Fi/UWB/mmWave) and antenna/RF fundamentals with test equipment workflows - Familiarity with UWB (IEEE 802.15.4z, FiRa) ranging/integration; mmWave/Wi-Gig (802.11ad/ay) - Experience with security and provisioning at scale (EAP-TLS, device identity, secure boot, disk/network hardening) - Background in building factory test, interoperability, and certification test plans; upstream/open-source contributions 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Principal Product Manager, Buying & Optimization
Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards , as well as honors from Digiday ( Best Connected TV Platform) , AdExchanger ( Most Innovative TV Advertising Technology ), and Business Insider ( Hottest AdTech Companies) . Tatari has also been recognized as the Best Place to Work by Inc. Magazine . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. Tatari is looking for multiple Principal Product Managers to join the growing Buying and Execution team. In this role, you will play a pivotal role in redefining CTV advertising in an AI-first world. You will own the development of an AI-powered, self-serve TV platform that turns years of TV and CTV data into actionable intelligence—enabling marketers to plan, launch, and optimize campaigns with the ease of clicking “Go.” Operating at the intersection of product, engineering, data science, and media execution, you will drive requirements, user stories, and delivery for campaign management and execution features across programmatic and direct TV. Your success will be driven by strong product ownership, disciplined execution, and a deep understanding of advertiser workflows, allowing you to prioritize the right problems and deliver differentiated, scalable solutions for marketers at every stage of growth. Responsibilities Own the product vision, strategy, and execution for TV media buying and execution, end-to-end (“soup to nuts”) Define a compelling roadmap that differentiates the platform through automation and AI-driven capabilities Partner closely with Engineering, Data Science, and Media Buying to translate business and customer needs into clear, prioritized product requirements Drive feature prioritization and trade-offs based on customer impact, business value, and scalability of automated TV buying workflows Collaborate cross-functionally with Media Buying, Media Operations, Marketing, and Leadership to ensure alignment and successful launches Continuously monitor industry trends, competitive offerings, and emerging AI technologies to keep the product ahead of the evolving TV and CTV landscape Use data, customer feedback, and experimentation to iterate, optimize performance, and deliver measurable impact Qualifications 8+ years of product management experience in AdTech, with deep expertise in streaming and programmatic CTV advertising (linear TV experience is a strong plus) Proven track record of shipping impactful products, including building new capabilities or platforms from the ground up Strong communicator and influencer, able to articulate a clear product vision and defend roadmap decisions with data and conviction at the executive level Highly customer-centric, with demonstrated skill in uncovering real user needs, writing strong user stories, and solving complex workflow problems Experience partnering closely with Design to address diverse customer needs through user research, prototyping, and thoughtful UX decisions Passion for automation and AI-driven innovation, balanced with a pragmatic, execution-oriented mindset Comfortable operating in ambiguity and fast-moving environments, with a bias toward action and measurable outcomes Nice to haves: experience working with AI/ML-powered products or data-driven optimization systems; familiarity with TV measurement, attribution, or identity challenges Benefits Total compensation $190,000 - $225,000 Equity compensation Health insurance coverage for you and your dependents 401K, FSA, and commuter benefits $150 monthly spending account $1,000 annual continued education benefit $500 Newbie Productivity Perk Unlimited PTO and sick days Monthly Company Wellness Day Off Snacks, drinks, and catered lunches at the office Team building events Hybrid RTO of 2 days per week in office At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. LI-HYBRID
Performance Modeling Engineer ~2
About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. 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. Key Responsibilities - Support the development and maintenance of performance modeling tools and frameworks - Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems - Help analyze distributed system scaling behavior and identify performance bottlenecks - Run simulations and analytical models to support architecture and infrastructure decisions - Partner with senior engineers to evaluate design tradeoffs across hardware and system components - Interpret modeling outputs and help translate findings into clear recommendations - Validate models using benchmarking data and real system performance measurements - Improve modeling workflows, documentation, and usability for broader team adoption - Collaborate cross-functionally with hardware, infrastructure, and architecture teams - Continuously build technical depth across AI infrastructure, system architecture, and performance analysis Qualifications - 1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work - Strong programming skills and experience building technical tools, scripts, or frameworks - Familiarity with system architecture fundamentals such as compute, memory, and networking - Ability to reason about system performance, bottlenecks, and scaling behavior - Strong analytical and problem-solving skills with comfort working in quantitative environments - Ability to learn quickly and work effectively across technical teams Preferred Skills - Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure - Experience with simulation tools, benchmarking, profiling, or performance analysis - Familiarity with data center systems, server architecture, or hardware platforms - Interest in system architecture and hardware/software co-design - Internship or early professional experience in performance engineering, infrastructure, or systems design 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Manager, API Infrastructure
About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. We design and operate the systems that power model serving, API access, billing, developer tooling, and enterprise integrations—forming the connective tissue between OpenAI’s research breakthroughs and real-world products. Our mission is to make it effortless for anyone to build with OpenAI technology. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate GPT models, fine-tune behavior, manage data, and deliver transformative experiences to their users. We collaborate across product, research, and engineering teams to ensure that innovation in model capabilities translates directly into value for customers. The API team spans multiple disciplines, including product management, infrastructure engineering, developer experience, and data systems. We care deeply about reliability, scalability, and simplicity—creating tools that let developers focus on their ideas while we handle the complexity of running world-class AI systems. About the Role: We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance and leadership to deliver high-trust, enterprise-grade systems. 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: - Develop an enterprise data control plane to securely access and manage enterprise data for LLM use - Drive product strategy for safety controls, privacy features, access management, and API usage/cost visibility. - Build and improve data governance capabilities: retention, encryption, audit logs, permissions, and lifecycle management. - Lead development of access control models, identity flows (SSO/SAML, SCIM), and admin tooling. - Oversee usage metering, cost dashboards, alerts, budgeting tools, and predictable API cost experiences. You might thrive in this role if you : - Have experience in security, privacy, data infrastructure, or usage-based platform products. - Strong understanding of data governance, access controls, and enterprise identity. - Experience with usage metering, cost-management tooling, or billing-adjacent systems. - Ability to work across security, legal, engineering, compliance, and finance domains. - Strong systems thinking, analytical skills, and comfort operating in high-risk, high-trust areas. - Proven experience leading large, complex, highly technical cross-functional teams. Mentoring/leading others is a plus. - Excellent communication and ability to drive alignment across complex technical and regulatory environments. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Principal Product Manager, AI Infrastructure
Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces Build strong partnerships with stakeholders across the company, including Science, Engineering, Design, Business Development, and Legal teams Drive technical decisions that balance customer experience, technical feasibility, and business requirements Identify and assess new opportunities for applying emerging AI technologies to enhance Alexa's capabilities What We Look For In You Bachelor's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent 5+ years of industry experience with at least 3+ years in technical product management Strong technical background and proven track record of delivering complex technical products at scale Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences Strong analytical and problem-solving skills with data-driven decision making Experience working with technical teams and managing complex stakeholder relationships Nice to Haves Master's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent Experience with conversational AI or voice-based products Strong technical understanding of ML/AI concepts, particularly in NLP and LLMs Track record of innovation and zero-to-one product development Experience with Deep Learning model training or inference Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: The salary range for this position is $250,444.00 to $375,666.00 . The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .
Engineering Manager, Cooperative Systems
About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational work at scale. What You’ll Do - Lead and grow a small team building applied AI systems for internal operations - Design and build AI-powered automation systems in close proximity to customers - Stay hands-on in architecture and implementation across the full stack - Develop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systems - Deploy systems directly to internal users and close customers to iterate rapidly based on real-world feedback - Engage frequently with scaled workforces to understand needs and validate solutions - Create systems for visibility and learning in hybrid workforces - Partner with product, research, and ops teams daily You Might Thrive in This Role If You - Have 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer - Are a hands-on builder who enjoys operating across the stack - Have deep experience applying AI, and are ready to experiment with frontier approaches - Bring strong technical judgment across systems design, infrastructure, and full-stack development - Have built developer tools, internal platforms, or workflow automation systems - Enjoy frequent interaction with customers and thrive in feedback-driven development loops - Are comfortable with ambiguity and excited to operate in a rapidly evolving space - Have experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation, etc.) 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Kernel Performance & AI Tooling
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 We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The role is ideal for someone who is excited by low-level performance work, but also sees AI and automation as powerful tools for accelerating engineering velocity. You will help define the future of kernel engineering in the era of AI-assisted development. In this role, you may: - Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy. - Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective. - Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production. - Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design. - Improve AI-assisted optimization systems for specialized tasks through better datasets, evaluations, benchmarking, and research infrastructure. - Partner across research and engineering teams to turn new ideas into practical systems spanning production needs and long-term infrastructure strategy. You might thrive in this role if you have: - Strong systems or tooling engineering experience, with a background in low-level software, performance optimization, or infrastructure. - Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design for technical users. - Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains. - Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications. - Strong experimental judgment, comfort with ambiguity, and the ability to move fluidly between research exploration and production execution. - Interest in compilers, DSLs, program synthesis, or AI for systems. Preferred profile The ideal candidate is a strong systems and tooling engineer with real depth in kernels and accelerators. They are comfortable working across software and hardware boundaries, can reason deeply about performance, abstractions, and system design, and have hands-on experience optimizing code for GPUs, high-performance CPUs, or custom accelerators. They view AI not as the end product, but as a force multiplier for engineering productivity and system optimization. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full Stack Software Engineer, Education
About the team OpenAI’s Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes. The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences. Some of our recent work: - New Education Plugins for ChatGPT Work and Codex - New tools for understanding AI and learning outcomes - Education for countries - Advancements in higher education - Early product work - Introducing Study Mode About the role We’re looking for a product-minded Full Stack Engineer to help build OpenAI’s education products from the ground up. You’ll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration. This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter. You’ll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders. In this role, you will: - Build and ship product experiences across the full stack for OpenAI’s education offerings - Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration - Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions - Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences - Help define the engineering foundation for a growing education pod, including patterns, systems, and technical direction - Contribute to products that may inform both consumer and B2B education experiences over time Your background might look something like: - 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Proficiency with TypeScript, React, and other web technologies - Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts - Some experience with relational databases like Postgres/MySQL - Care deeply about reliability, safety, and performance in production environments. - Interest in AI/ML (direct experience not required) - Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines. - Have experience building interactive educational tools or learning products, or are excited to apply your skills in this space - Have a strong interest in improving access to education and expanding opportunities for learners worldwide 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
CPU/Storage/PoP-WAN Program Manager
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, storage readiness, network turn-up, testing, and production handoff - Coordinate BOM readiness, server delivery, racks, optics, cabling, storage hardware, and vendor milestones - Partner with engineering teams to align compute, storage, and networking dependencies before cluster activation - Manage deployment of storage systems supporting training and inference workloads, including readiness, validation, performance checks, and scaling plans - Coordinate backbone capacity expansion, cross-connects, inter-region pathing, and cloud interconnect readiness with Azure and third-party providers - Lead physical deployment execution including rack-and-stack, hardware bring-up, L1 validation, and site acceptance criteria - Build repeatable deployment playbooks, dashboards, governance cadences, and operating mechanisms for scale - Identify risks early across supply chain, site readiness, technical constraints, and vendor execution, then drive mitigation plans - Communicate milestones, escalations, and capacity forecasts to senior leadership Qualifications - 8+ years of experience in technical program management, infrastructure deployment, network deployment, or data center operations - Strong experience delivering programs involving compute, storage, networking, or large-scale infrastructure systems - Working knowledge of servers, clusters, storage arrays, routers, switches, optics, and structured cabling - Experience owning cross-functional programs across engineering, operations, supply chain, and external vendors - Strong understanding of deployment lifecycles from planning and procurement through production handoff - Ability to reason across physical infrastructure execution and logical systems architecture dependencies - Proven ability to build integrated schedules and drive accountability across multiple stakeholders - Strong executive communication skills with experience managing critical escalations and leadership updates - Comfortable operating in fast-moving environments with aggressive timelines and evolving priorities - Highly analytical with strong problem-solving and execution instincts Preferred Skills - Experience at a hyperscaler, cloud provider, AI infrastructure company, or global network operator - Experience deploying GPU clusters, HPC systems, or large training environments - Familiarity with distributed storage systems and high-performance data infrastructure - Experience with PoP deployments, WAN backbone expansion, or global network buildouts - Experience working across first-party, colo, and cloud environments - Experience building repeatable infrastructure deployment systems in high-growth environments 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
3P Systems Architect
About the Team OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure. Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies. About the Role We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs. You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities. This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems. 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. Key Responsibilities - Define rack- and cluster-level reference architectures for AI infrastructure deployments. - Translate workload requirements into clear system design specifications and partner deliverables. - Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors. - Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability). - Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps. - Influence and shape vendor roadmaps to meet future infrastructure needs. - Track emerging technologies and evaluate their applicability to AI systems. - Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies. - Act as a key interface between OpenAI and external partners, ensuring execution against design intent. Qualifications - Have strong experience in system architecture for large-scale infrastructure or data center environments. - Understand AI workload characteristics and how they map to system-level design decisions. - Are comfortable working with performance modeling outputs to inform architectural direction. - Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking). - Can drive alignment across multiple stakeholders with competing constraints. - Have a track record of turning ambiguous requirements into clear, executable system designs. - Are proactive in identifying gaps and driving solutions across organizational boundaries. Preferred Skills - Experience defining rack- or cluster-level systems for hyperscale or AI workloads. - Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures. - Experience influencing vendor roadmaps and reference designs. - Background in infrastructure deployment, hardware engineering, or systems integration. - Experience leading PoCs or early-stage hardware validation efforts. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Performance Modeling Engineer
About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. 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. Key Responsibilities - Develop and maintain performance modeling tools and frameworks. - Build models to evaluate system behavior across: - compute, memory, and interconnect subsystems - distributed system scaling and bottlenecks. - Run simulations and analytical models to support architectural tradeoff analysis. - Collaborate with performance modeling lead and system architects to answer forward-looking design questions. - Analyze and interpret modeling outputs, translating results into actionable insights. - Validate models against real system measurements and workload behavior. - Contribute to improving modeling fidelity, usability, and scalability. Qualifications - Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis). - Familiarity with system architecture fundamentals (compute, memory, networking). - Experience with programming and building technical tools or frameworks. - Ability to reason about performance bottlenecks and scaling behavior. - Strong analytical skills and comfort working with quantitative models. - Ability to collaborate across teams and learn new system domains quickly. Preferred Skills - Exposure to AI/ML workloads or distributed systems. - Experience with simulation tools, performance modeling, or systems analysis. - Familiarity with data center infrastructure or large-scale systems. - Experience working with performance data, benchmarking, or profiling tools. - Interest in system architecture and hardware/software co-design. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Performance Modeling Lead
About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. 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. Key Responsibilities - Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. - Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. - Develop performance models to guide decisions on: - scale-up vs. scale-out architectures - interconnect and network design - memory hierarchy and system balance. - Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. - Influence reference designs and vendor roadmaps through data-driven insights. - Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements. - Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor. - Continuously improve modeling fidelity by validating against real system behavior and measurements. Qualifications - Have experience owning or building performance modeling frameworks used to drive real system design decisions. - Have deep knowledge of AI/ML workloads, including training and/or inference at scale. - Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems. - Are comfortable working across abstraction layers—from workload behavior to hardware implementation. - Have experience using modeling (analytical or simulation) to inform architectural decisions. - Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis. - Communicate clearly and influence both internal teams and external partners. Preferred Skills - Experience working with hardware vendors (ODM/JDM, silicon, networking). - Background in data center infrastructure or hyperscale systems. - Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet). - Experience influencing hardware roadmaps or reference architectures. - Prior experience leading or mentoring engineers. 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 Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.