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AI Deployment Engineer, Cyber
About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You might thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. 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.
Tech Lead Manager, Education
About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. 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 hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will - Lead and manage a team of three senior full-stack engineers. - Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. - Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. - Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. - Drive execution across product, engineering, research, go-to-market, and partner teams. - Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You - Have several years of direct people-management experience with engineers. - Are still highly technical and comfortable doing IC engineering work. - Have strong product sense and can operate like a GM for a focused product area. - Can lead senior engineers with credibility and clear technical direction. - Are effective at cross-functional influence, communication, and project management. - Are genuinely interested in education, learning science, and how AI can improve learning outcomes. - Have experience operating in a large, complex technology organization. Nice To Have - Experience in education, learning products, learning science, or edtech. - Experience across both larger technology companies and startup-like environments. - Experience building products that connect research, data pipelines, and user-facing product experiences. - Experience with B2B products that can later scale into broader consumer workflows. 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.
Subject Matter Expert, Investment Banking
About the Team OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials. Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use. 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. About the Role We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences. This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look plausible from work that is accurate, traceable, internally consistent, and ready for serious professional use. In This Role, You Will - Define the quality bar for AI-assisted investment banking work across research, financial analysis, valuation, modeling, diligence, transaction execution, and client materials. - Translate real banking workflows into challenging, representative evaluation tasks with realistic inputs, constraints, deliverables, and success criteria. - Create and refine banker-grade reference artifacts, including financial models, valuation analyses, diligence materials, screening outputs, pitch books, committee materials, and transaction documents. - Develop rigorous rubrics and grading methods that assess financial correctness, analytical judgment, source quality, traceability, internal consistency, presentation quality, and practical usefulness. - Evaluate model outputs and end-to-end agent workflows, identify recurring failure modes, and translate findings into actionable feedback for Research, Engineering, and Product. - Partner with researchers and engineers on evals, graders, datasets, human-review processes, tools, and product integrations that improve model performance on financial work. - Work closely with product teams to identify the highest-value opportunities for AI in investment banking, prototype new workflows using OpenAI tools, and assess whether early experiences meet the needs of real users. - Engage with customers, design partners, and domain reviewers to understand real-world standards and constraints, support testing and adoption, codify domain knowledge, and ensure responsible financial-services deployment. You Might Thrive in This Role If You - Have 2+ years of investment banking experience, including live transaction execution and the production of high-quality analyses, financial models, and client materials. Demonstrated ability and judgment matter more than title or tenure. - Have strong command of core banking workflows across M&A, capital raising, strategic advisory, or a closely related product or coverage area. - Can build and review financial analyses in Excel and produce polished PowerPoint materials, with a sharp eye for errors, weak assumptions, unsupported claims, inconsistent numbers, and poor presentation. - Understand how work and judgment evolve from junior analyst through director, and can identify where AI should automate execution, support decision-making, or remain subject to human review. - Exercise excellent analytical judgment and can assess whether an approach is appropriate, evidence is sufficient, and an output would withstand senior review. - Can translate expert intuition into clear standards, actionable feedback, rubrics, and guidance that others and evaluation systems can apply consistently. - Thrive in ambiguous, zero-to-one environments and are willing to create the first version of a task, model, deck, rubric, workflow prototype, or playbook. - Are curious about AI, comfortable collaborating with technical and non-technical stakeholders, and able to apply sound judgment around confidentiality, data entitlements, governance, regulation, and reputational risk. Especially Strong Candidates May Also Have - Experience across multiple banking products, industry coverage groups, geographies, or transaction types, or in adjacent fields such as private equity, corporate development, equity research, private credit, leveraged finance, or restructuring. - A track record of improving financial workflows through automation, templates, knowledge systems, data tools, process redesign, or new technology. - Familiarity with evaluation design, quality assurance, benchmarking, data annotation, prompt design, or testing AI-enabled financial tools. 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.
Network Operations Engineer, AI Networking
About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities - Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. - Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). - Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. - Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. - Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. - Support new AI cluster deployments, data center expansions, and infrastructure migrations in partnership with deployment and engineering teams. - Partner with cloud service providers (CSPs), colocation providers, Smart Hands teams, and hardware vendors to maintain production infrastructure. - Perform root-cause analysis (RCA) for production incidents and drive permanent corrective actions that eliminate recurring issues. - Build and maintain monitoring, telemetry, dashboards, and alerting to improve network observability and proactive issue detection. - Develop and improve operational runbooks, playbooks, troubleshooting documentation, and standard operating procedures. - Automate repetitive operational tasks using Python and infrastructure automation frameworks to reduce toil and improve efficiency. - Continuously identify opportunities to improve service reliability, scalability, operational maturity, and engineering efficiency. Qualifications - Bachelor’s degree in Computer Science, Network Engineering, or a related discipline, or equivalent practical experience. - 5+ years of experience operating large-scale data center, cloud, AI, or HPC network infrastructure. - Experience supporting production network environments with high-availability requirements. - Hands-on experience with one or more of the following platforms: Cisco NX-OS, Arista EOS, NVIDIA Spectrum / Cumulus Linux, or Juniper JunOS. - Strong knowledge of Layer 2 and Layer 3 networking, BGP, OSPF, ECMP, MLAG, LACP, VRFs, and VLANs. - Experience troubleshooting physical infrastructure, including fiber optics, transceivers, DAC/AOC cables, and high-speed Ethernet links. - Experience performing software upgrades, hardware maintenance, and production change management. - Excellent analytical and troubleshooting skills, with the ability to communicate technical risk clearly across teams. Preferred Skills - Experience operating AI or High-Performance Computing (HPC) network environments. - Experience with NVIDIA AI networking technologies and GPU infrastructure. - Experience supporting RoCE v2 or RDMA-based Ethernet fabrics, with a strong understanding of Priority Flow Control (PFC), Explicit Congestion Notification (ECN), Data Center Quantized Congestion Notification (DCQCN), Quality of Service (QoS), and lossless Ethernet networking. - Experience supporting 100G, 200G, 400G, and 800G Ethernet networks. - Experience with GPU platforms including NVIDIA HGX, DGX, GB200, or equivalent AI infrastructure. - Experience supporting distributed storage environments such as VAST, DDN, or similar technologies. - Experience working with cloud service providers such as AWS, Azure, or Google Cloud, and with third-party colocation providers. - Experience with network monitoring and telemetry technologies, including Prometheus, Grafana, gNMI, streaming telemetry, SNMP, or similar tools. - Experience developing automation using Python, Git, REST APIs, Terraform, or similar automation frameworks. Work Environment and On-Call - Participate in a 24x7 on-call rotation supporting mission-critical AI infrastructure. - Support time-sensitive production incidents, maintenance windows, capacity expansions, and network changes with a focus on service availability and minimal customer impact. - This role requires up to 30% travel to data center locations for new turnups and acceptance activities, as needed. 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.
Manager, AI Deployment Engineering - Enterprise
About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. In This Role, You Will - Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. - Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion. - Coach the team through decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost. - Establish an operating model for prioritizing accounts and engagements according to customer needs, strategic value, technical complexity, and potential for repeatable impact. - Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions. - Partner with customer executives and technical leaders to connect implementation decisions to measurable business and operational outcomes. - Help customers progress from experimentation to production systems and sustained adoption across their organizations. - Partner closely with Sales and Solutions Engineering to create continuity throughout the customer lifecycle and maintain shared accountability for customer success. - Translate customer needs and recurring implementation challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams. - Identify scalable market patterns, distinguish them from bespoke requests, and advocate for investments that can benefit multiple customers. - Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio. - Establish mechanisms for measuring production implementations, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work. - Hire thoughtfully, raise the technical and leadership bar, and foster a culture of accountability, curiosity, collaboration, inclusion, and continuous learning. - Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders. You Might Thrive in This Role If You - Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers. - Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments. - Maintain sufficient technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions. - Have experience taking AI, machine learning, or other technically complex systems from prototype to production. - Understand production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness. - Have led teams through ambiguity, competing priorities, escalations, and rapidly evolving products or markets. - Can translate effectively among technical details, customer needs, product strategy, and business outcomes. - Have worked with large organizations involving multiple business units, stakeholder groups, procurement processes, or governance requirements. - Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders. - Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization. - Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability. - Use data and clear principles to allocate limited resources across a large portfolio of opportunities. - Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams. - Are energized by helping organizations adopt frontier AI responsibly and turn emerging capabilities into durable value. Relevant Experience May Include - Leading teams in applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering. - Implementing generative AI, machine learning, developer platforms, cloud infrastructure, data platforms, or other complex enterprise technologies. - Working with customers in semiconductors, media, entertainment, or similarly complex and technology-intensive industries. - Supporting global customers, multi-business-unit implementations, regulated workflows, or large-scale organizational transformations. - Building technical enablement, reusable solution patterns, evaluation frameworks, or customer implementation methodologies. Direct experience in these industries is not required. We value leaders who can recognize common technical and organizational patterns while adapting their approach to different customer 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.
Regional Client Partner, Ads Solutions
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Paris office. 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: - Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. - Own and achieve a defined revenue target within an assigned territory or vertical. - Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. - Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. - Structure and negotiate complex commercial agreements. - Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. - Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. - Partner with Customer Success Managers to ensure seamless post-sale transitions and coordinated expansion strategies. - Maintain rigorous pipeline management and accurate revenue forecasting. You might thrive in this role if you: - Have 10+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles. - Have 3+ years of experience as proven advisor influencing executives and clients. - Have experience owning revenue targets and closing complex deals. - Can build structured business cases and influencing senior stakeholders (internally and externally). - Have strong verbal and written communication skills. - Can operate in ambiguous, fast-changing environments. - Understand the client’s business and priorities to define success metrics and align on partnership goals. - Translate analytical insights into compelling commercial narratives. 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.
Senior Manager, Procurement Operations
About the Team OpenAI is building Procurement of the future: one that uses AI-enabled systems, clean data, and scalable processes to help the business absorb increasing complexity, speed, volume, and throughput while enabling teams across OpenAI to operate more strategically and at greater scale while managing risk responsibly. The Procurement Operations team supports the operational flow of purchasing across OpenAI, helping teams turn business needs into complete, policy-aligned, and executable procurement activity. We partner across Procurement, Finance, Legal, Security, Accounting, Accounts Payable, Systems, and business teams to improve how requests, suppliers, purchase orders, approvals, data, documentation, and downstream handoffs move through our systems. As OpenAI scales, we are building procurement operations that can absorb increasing complexity without adding unnecessary friction. That means using AI thoughtfully, simplifying where we can, strengthening operating discipline where we must, and continuously improving how our stakeholders experience procurement. About the Role We are hiring two Senior Managers, Procurement Operations to manage the operational backbone of how OpenAI turns requests into committed, controlled, and payable spend. One role will focus on Technology categories, and the other will focus on Corporate Services categories. These roles are not removed from the work. You will be expected to review requests in the system, make or guide request and PO updates, resolve operational issues, and use that firsthand view to identify what needs to change. You will push the envelope without losing the thread on risk, staying close enough to the details to understand where friction, ambiguity, and control gaps show up. You will help improve procurement outcomes across intake, purchase requests, PO quality, supplier coordination, approval workflows, documentation, service delivery, and downstream financial handoffs. You will oversee and improve operating effectiveness across existing controls and lifecycle processes, using data, AI-enabled tools, automation, and strong judgment to reduce friction while improving compliance, accountability, and speed. What we’re looking for: We’re looking for someone who can both operate and improve the system. This person will be hands-on in procurement operations while helping build the next version of how the work gets done: clearer standards, stronger operating discipline, cleaner data, smarter workflows, and more AI-enabled ways of working. The right person brings critical thinking, strong relationship management, high attention to detail, and the ability to see patterns across requests, stakeholder friction, system gaps, and risk signals. They can help move Procurement Operations toward a more scalable, exception-based operating model without losing speed or control. You bring: - 7+ years of procurement operations, P2P, sourcing operations, finance operations, supply chain operations, business operations, or related experience in a fast-moving environment. - High AI fluency, with demonstrated ability to use AI tools to improve how work gets done, reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. - Experience leading cross-functional operational programs with measurable improvements in service quality, operating effectiveness, cycle time, compliance, or stakeholder experience. - Advanced procurement operations judgment and the ability to independently resolve complex tasks while knowing when to seek guidance on higher-risk issues. - Strong understanding of how procurement decisions affect downstream financial outcomes, supplier experience, accounting accuracy, invoice readiness, commitment visibility, and business velocity. - Strong systems orientation, with experience using procurement, ERP, intake, ticketing, supplier, or workflow tools such as Zip, Oracle, Coupa, SAP, NetSuite, Jira, ServiceNow, or similar platforms. - High attention to detail and a strong sense of ownership for documentation quality, fiscal controls, audit readiness, and operating discipline. - Ability to identify patterns in operational issues and translate them into better processes, standards, workflows, and system improvements. - Practical judgment around AI adoption: knowing where AI can accelerate work, where human review matters, and how to build trust in new ways of working. - Comfort working across Procurement, Finance, Legal, Security, Accounting, Accounts Payable, Systems, and business stakeholders. - Clear communication skills and the ability to explain tradeoffs between speed, control, policy, and risk in a practical, enablement-focused way. - Ability to operate in ambiguity, bring structure to evolving processes, and raise the bar as the business scales. In this role, you will: - Lead cross-functional procurement operations programs that support business priorities and functional strategy. - Own end-to-end execution of complex procurement operations initiatives across intake, request review, request updates, PO creation, PO maintenance, supplier coordination, approvals, documentation, and downstream handoffs. - Review requests in procurement systems, make or guide request and PO updates, resolve operational issues, and use those patterns to improve how the lifecycle works. - Design scalable processes, metrics, operating cadences, control checkpoints, and AI-enabled workflows that reduce friction while improving compliance, accountability, and operating effectiveness. - Identify recurring operational issues, separate symptoms from root causes, and build systems, playbooks, or process improvements that prevent repeat problems. - Partner with business stakeholders to clarify requirements, resolve blockers, and keep procurement activity moving with the right level of control. - Balance urgent business needs with policy requirements, approval controls, auditability, financial accuracy, and responsible risk management. - Improve service delivery and operating leverage in measurable ways, including cycle time, PO quality, exception rates, documentation completeness, invoice readiness, commitment visibility, and close readiness. - Work closely with Procurement, Finance, Legal, Security, Accounting, AP, and Systems teams to improve handoffs, governance, reporting, and stakeholder experience. - Build practical documentation, SOPs, playbooks, dashboards, templates, self-service guidance, and intake logic that make procurement easier to navigate. - Influence stakeholders without formal authority, driving alignment through clear communication, sound judgment, and strong relationships. - Mentor peers and junior teammates by raising execution quality, sharing context, and modeling thoughtful decision-making in ambiguous situations. You might thrive in this role if you: - Are energized by challenging current ways of working and building better operating models without creating unnecessary process. - Are already using AI tools to improve quality, speed, analysis, documentation, or decision support. - Care about creating clean, scalable foundations that allow teams to move faster with more confidence. - Enjoy turning operational complexity into clear standards, better workflows, stronger operating discipline, and smarter systems. - Are comfortable being hands-on while also improving the system, process, and operating model around the work. - Can balance a high bar for accuracy, risk management, and control with a practical, enablement-focused approach to helping the business move quickly. - Operate with ownership, humility, and a builder mindset. You improve the system, strengthen operating discipline, and make the work easier for others to execute well. 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. 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, Core Models
About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people. Our scope includes model planning and launches as well as building data flywheels, evaluations and measurement systems to ensure our models have strong capabilities and behavior. About the Role As a Product Manager for the Core Models team, you'll be at the forefront of defining and guiding the future of how our AI models work in real-world applications. You will connect user needs to model and systems decisions: how prompts are understood; how information is aggregated and made useful for training and evaluation data; and how capabilities move from research prototypes into the mainline model and launch stack. You will operate comfortably across research, infrastructure, and consumer product surfaces, creating clarity where ownership and technical boundaries are still emerging. 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: - Translate user and product goals into clear model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation. - Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions. - Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost. - Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack. - Create reusable platforms and operating systems for evaluation, experimentation, and signal collection so that new capabilities improve faster over time. - Use concrete product failures and emerging user needs to identify gaps, form hypotheses, and shape the next wave of research and product investment. You might thrive in this role if you: - Have deep expertise in product management or closely related experience, including ownership of technically complex products or platforms. - Bring deep fluency in one or more relevant domains: search and information retrieval, recommendation or personalization systems, ML platforms, large-scale data systems, model evaluation, or AI product infrastructure. - Know how to pair offline evaluation with online experimentation and user signals, and can distinguish a useful metric from a convenient one. - Earn the trust of researchers and engineers through technical depth, crisp judgment, and a willingness to engage directly with the details. - Combine consumer product taste with systems rigor, and care about both the quality people feel and the infrastructure that makes it repeatable. - Move quickly in ambiguous environments, communicate directly, and help teams make sound decisions without waiting for perfect information. - Care deeply about how increasingly capable models affect people, and bring humility, judgment, and a strong sense of responsibility to the work. 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.
Researcher, Alignment CoT Monitorability
About the Team The CoT Monitorability team at OpenAI studies whether and when the chain-of-thought of frontier reasoning models is monitorable enough to support scalable oversight. We study how to measure monitorability , which training mechanisms affect monitorability, and speculative methods to improve monitorability. While we mostly focus on CoT monitorability at the moment, we care more generally about any form of monitorability, auditing methods, and improving alignment. We were the first to show that chain-of-thought monitoring can be a practical additional safety mechanism, and today our monitoring systems are actively used on OpenAI’s largest RL training runs to detect misbehavior. The issues we surface are then used to help improve our reward functions, environments, etc (without directly training against a CoT monitor). Our work sits in Alignment and intersects with model training, alignment evaluations, monitoring, and frontier-risk research.We care most about monitorability where the stakes are high, and about preserving useful oversight signals as models become more capable. About the Role We’re looking for a researcher with strong empirical ML expertise and a deep interest in model behavior, alignment, or interpretability. Direct chain-of-thought interpretability experience is welcome but not required; strong candidates may come from broader interpretability, alignment, model training, or investigative model-behavior work. As a researcher on the Alignment team, you will design and run experiments that improve our understanding of model monitorability. You will investigate how training interventions across the model-development pipeline influence whether reasoning remains legible, build evaluations that make those questions measurable, and help translate findings into practical oversight and training recommendations. You may also help develop new monitoring models or methods and apply them to OpenAI’s largest training runs. This role is especially well suited for someone who can move from an ambiguous model-behavior question to a concrete experimental setup: formulate the hypothesis, build the evaluation or intervention, run the experiment, analyze the result, and decide what the evidence supports. 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 and run empirical studies of chain-of-thought monitorability across frontier reasoning models and training settings. - Build evaluations that measure whether monitors can reliably predict properties of interest, including high-stakes forms of misbehavior. - Investigate how pre-training, synthetic data, mid-training, post-training, reinforcement learning, and other interventions improve or degrade monitorability. - Analyze model behavior and turn observations from monitoring into hypotheses, experiments, and recommendations. - Translate research findings into practical monitoring and oversight approaches that can inform real training runs. - Collaborate with researchers and engineers across model training, alignment evaluations, monitoring, and frontier-risk work. - Produce externally publishable research when results advance the broader science of alignment. You might thrive in this role if you: - Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. - Have deep curiosity, interest in alignment, and high agency. - Bring depth in alignment, interpretability, model behavior, empirical ML, or adjacent research. - Are excited to investigate chain-of-thought monitorability, monitoring methods, and scalable oversight. - Can turn ambiguous research questions into measurable experiments and follow the evidence when results are subtle or noisy. - Move comfortably between research ideation and engineering execution. - Are curious about multiple approaches to understanding model behavior and are not committed to only one methodological lens. - Operate with high independence while collaborating closely across research and engineering teams. - Care about making increasingly capable AI systems more monitorable, trustworthy, and safe. 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.
Founding Full Stack Software Engineer, Legal
About the Team The Legal team is building the next generation of AI-powered products and experiences for the legal industry. We are exploring how advanced AI systems can transform legal workflows, improve access to information, and enable legal professionals and organizations to work more effectively. As a founding member of the Legal engineering team, you will help define the technical foundation for this new product area from the earliest stages. You’ll operate at the intersection of AI, product, and real-world legal workflows—identifying opportunities, building prototypes, and turning emerging ideas into scalable products that can create meaningful impact. We operate with a startup-like mindset inside OpenAI: small teams, rapid iteration cycles, and a willingness to explore bold ideas, learn quickly, and adapt based on user feedback. Our goal is to build products that meaningfully improve how legal professionals work while leveraging OpenAI’s cutting-edge models and infrastructure. About the Role As a Founding Full-Stack Software Engineer on the Legal team, you will help imagine, build, and scale new AI-powered products for the legal industry. You’ll work across the stack to design intuitive user experiences, build robust backend systems, and create the foundations for products used by legal professionals and organizations around the world. You’ll have significant ownership from the earliest stages—working closely with product, design, research, and go-to-market partners to understand customer needs, shape product direction, and deliver high-impact solutions. This includes rapidly prototyping new concepts, building production-quality applications on top of OpenAI’s platforms, and developing new technical approaches when existing systems are not sufficient. We’re looking for engineers who thrive in ambiguity, have strong product instincts, and enjoy building from 0→1. You should be comfortable moving quickly, making thoughtful technical decisions, and taking ownership across the entire product lifecycle—from initial exploration through launch and scale. In this role, you will: - Build and ship full-stack products that leverage OpenAI models to solve complex problems in legal workflows. - Own projects end-to-end, from early prototypes and technical exploration through production deployment and iteration. - Design and develop intuitive user experiences across frontend and backend systems. - Build scalable, reliable systems on top of OpenAI’s internal platforms and APIs while contributing new technical foundations where needed. - Partner closely with product managers, designers, researchers, applied AI teams, and customers to identify opportunities and translate insights into impactful products. - Rapidly prototype and experiment with new AI capabilities, using real-world feedback to guide product decisions. - Develop a deep understanding of legal workflows, customer needs, and industry challenges to inform technical strategy. - Help establish engineering culture, technical standards, and product practices as an early member of the team. - Learn from and contribute alongside deeply experienced engineers while fostering a high-trust, inclusive, and candid team environment. You might thrive in this role if you: - Have 6+ years of professional software engineering experience. - Have built and shipped full-stack applications end-to-end, from early prototypes through production systems. - Are excited by ambiguous, open-ended problems and can turn broad ideas into shipped products. - Have strong frontend and backend engineering skills and enjoy working across the stack. - Are comfortable moving quickly, iterating based on feedback, and making pragmatic technical decisions. - Have strong product instincts and enjoy collaborating directly with users and cross-functional partners. - Are energized by emerging AI capabilities and the opportunity to rethink how software is built. - Learn quickly, pick up new technologies as needed, and choose the right tools to solve problems effectively. - Thrive in small, high-ownership teams where engineers have significant influence over product direction and technical strategy. - Welcome direct, constructive feedback and offer the same to others with clarity and respect. 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 Program Manager, Strategic Initiatives
About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage key risk areas and corresponding stakeholders. - Keep track of a stack of existing and future mitigations for every major product and model deployment. - Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. - Manage pre-launch safety reviews. - Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). - Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. - Help with publishing and open sourcing safety learnings, standards, datasets and benchmarks with the public. You might thrive in this role if you: - Possess an advanced degree in a hard science, with a PhD being advantageous, or a demonstrated track record of engineering expertise. - Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines. - Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber. - Expertise in designing and implementing simple, scalable processes that solve complex problems. - Are relentlessly resourceful and thrive in ambiguous, fast-paced environments. - Strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines. - Exceptional written and verbal communication skills. - Care about AGI safety. 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.
Device Safety & Risk Operations Specialist, User S...
About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will: - Build the end-to-end safety and risk operating model for new consumer hardware, from early requirements through launch and early-life operations. - Define incident taxonomies, severity levels, decision rights, escalation criteria, response pathways, and closure standards. - Develop operational playbooks for product-safety incidents, critical escalations, safety advisories, corrective actions, and other high-risk events. - Design workflows for regulated and privacy-sensitive cases, including restricted handling, evidence requirements, auditability, and partner escalation. - Translate safety and operational needs into requirements for tooling, case management, data access, monitoring, logging, and automation. - Establish clear ownership boundaries across Product, Engineering, Legal, Privacy, Product Policy, Support, Product Quality, and other operational partners. - Build launch-readiness plans, tabletop exercises, training, quality controls, reporting, and post-launch monitoring. - Use operational data, customer signals, product telemetry, and case outcomes to identify patterns and improve upstream products and systems. - Determine where AI and automation can improve triage, evidence assembly, consistency, and response while preserving appropriate human judgment. - Stand up priority workflows, operate them through launch and early-life stabilization, and transition them into durable homes across USRO and partner teams. You Might Thrive in This Role If You: - Have 8+ years of relevant experience in device safety, product safety, consumer hardware operations, technical program management, or a related field. - Have built a complex safety or risk program from an ambiguous starting point through launch and scaled operation. - Understand the realities of handling high-severity incidents, regulated workflows, sensitive customer information, and time-critical escalations. - Can translate product, engineering, legal, privacy, and policy constraints into workflows that operational teams can execute. - Are technically fluent and can reason through data flows, telemetry, access controls, audit logs, case systems, automation, and failure modes. - Use data to assess workflow health, identify emerging patterns, evaluate quality, and make risk-based decisions. - Can establish clear accountability across teams with overlapping responsibilities and different risk tolerances. - Know how to balance launch speed with safety controls, monitoring, rollback criteria, and longer-term system development. - Communicate clearly with operational, technical, legal, and executive audiences when evidence is incomplete or tradeoffs are difficult. - Are highly practical and willing to build the workflow, not only define the strategy. - Experience supporting consumer hardware, connected devices, or other products used in shared environments. - Experience with product-safety investigations, recalls, field failures, safety advisories, or hazardous-product handling. - Experience designing workflows involving privacy-sensitive sensor, diagnostic, media, or household data. - Familiarity with warranty, repair, reverse logistics, identity recovery, fraud, or ownership disputes. - Experience building vendor training, quality-assurance, incident-response, or specialist-review programs. 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.
AI Deployment Manager (Builder) - Tokyo
About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use. This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes. This role is based in our Tokyo Office. 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: - Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments - Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. - Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. - Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale - Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience. - Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. - Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. You’ll thrive in this role if you: - Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments. - Possess exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences. - Strong technical depth across coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, fine-tuning, and key tradeoffs. - Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys, handle live questions, and reason through problems in real time. - Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact. - Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. - Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum. - Are personally committed to fostering the safe and ethical evolution of AI. 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.
BIM Coordinator / BIM Designer
About the Team Industrial Compute is building the world's most advanced AI infrastructure. Working alongside our capital partners, engineering teams, and construction organizations, we design and deliver large-scale, mission-critical compute campuses that power the next generation of AI. Our Design organization brings together engineering, construction, and digital design to ensure facilities are coordinated, constructible, and optimized from the earliest planning phases through deployment. About the Role We are seeking a BIM Designer & Coordinator to support the planning and design of large-scale industrial and mission-critical facilities. In this role, you will develop, coordinate, and maintain multidisciplinary BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines, enabling early design validation, constructability reviews, equipment planning, and cross-functional coordination. You will partner closely with internal engineering teams, external design consultants, contractors, and project stakeholders to produce coordinated BIM deliverables that improve design quality, reduce project risk, and support efficient execution across Industrial Compute's global infrastructure portfolio. Key Responsibilities: - Develop and maintain conceptual and schematic BIM models for large-scale industrial and MEP-intensive facilities. - Coordinate BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines. - Create and maintain federated models used for design reviews, spatial coordination, constructability analysis, and clash detection. - Model major building systems including equipment layouts, utility corridors, electrical rooms, mechanical rooms, structural framing, site infrastructure, and architectural constraints. - Coordinate equipment clearances, maintenance access, routing zones, shafts, risers, utility entrances, and major MEP pathways. - Translate engineering sketches, basis-of-design documents, equipment lists, one-line diagrams, and planning documentation into coordinated BIM models. - Support early design activities including test-fit studies, routing evaluations, phasing plans, utility coordination, and design option analysis. - Maintain BIM standards including model organization, file naming conventions, worksets, shared coordinates, view templates, and model health. - Support multidisciplinary coordination using Navisworks, Autodesk Construction Cloud, BIM 360, Revizto, or similar collaboration platforms. - Prepare model views, coordination packages, exports, and documentation for design reviews and stakeholder meetings. - Support model-based quantity takeoffs, equipment tracking, asset information, room data, and design progress reporting. - Review consultant and contractor BIM deliverables for quality, coordination, completeness, and compliance with project BIM standards. - Help maintain digital design assets that support planning, design development, construction coordination, and operational handoff. Discipline Focus Areas Civil BIM Designer - Develop site models including grading concepts, access roads, utility corridors, stormwater systems, underground duct banks, and civil infrastructure. - Coordinate civil infrastructure with building footprints, substations, generators, cooling equipment, underground utilities, and site constraints. - Experience with Civil 3D, ArcGIS, Revit Site, and utility modeling is preferred. Electrical BIM Designer - Develop conceptual and schematic models for substations, switchgear, transformers, generators, UPS systems, cable tray, busway, duct banks, grounding systems, and major power distribution infrastructure. - Coordinate electrical equipment clearances, cable routing, service entrances, and access requirements with architectural, structural, mechanical, and civil disciplines. - Experience with Revit Electrical, AutoCAD, Navisworks, and interpreting one-line diagrams is preferred. Mechanical BIM Designer - Develop models for mechanical equipment, chilled water systems, hydronic piping, airside systems, ductwork, pumps, chillers, CRAH/CRAC units, heat exchangers, tanks, and central utility plants. - Coordinate mechanical routing, maintenance access, pipe racks, structural supports, overhead zones, and major penetrations. - Experience with Revit Mechanical, Navisworks, and industrial piping and duct coordination is preferred. Architectural / Structural BIM Designer - Develop architectural and structural models including building shells, floor plans, slabs, structural steel, foundations, equipment pads, platforms, stairs, and access areas. - Coordinate architectural and structural constraints with MEP systems, utility entrances, equipment placement, and code-required clearances. - Experience with Revit Architecture, Revit Structure, AutoCAD, and Navisworks is preferred. Qualifications - Bachelor's degree or equivalent experience in Architecture, Engineering, Construction Management, Civil Engineering, Electrical Engineering, Mechanical Engineering, Structural Engineering, or a related technical field. - 3+ years of BIM modeling, BIM coordination, drafting, or design technology experience. - Experience developing 3D models using Revit, AutoCAD, Civil 3D, Navisworks, Inventor, SolidWorks, or comparable BIM/CAD platforms. - Experience supporting multidisciplinary coordination for complex industrial, infrastructure, or building projects. - Ability to read and interpret engineering drawings, equipment layouts, design narratives, diagrams, and consultant deliverables. - Strong understanding of BIM standards, model organization, file management, and coordination workflows. Preferred Skills - Experience supporting large-scale industrial, data center, manufacturing, utility, or other mission-critical infrastructure projects. - Experience developing conceptual and schematic design models in addition to construction documentation. - Strong understanding of multidisciplinary MEP coordination, equipment clearances, routing zones, and constructability considerations. - Experience with Autodesk Construction Cloud, BIM 360, Navisworks, Revizto, Bluebeam, Civil 3D, ArcGIS, Dynamo, Python, or Autodesk Platform Services. - Experience supporting model automation, asset management, data extraction, quantity takeoffs, and design reporting. - Experience coordinating with internal engineering organizations, external consultants, contractors, and owner representatives. - Excellent communication skills with the ability to collaborate effectively across Civil, Electrical, Mechanical, Architectural, and Structural engineering teams. 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 - Singapore (Korean-speaking)
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 This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. 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 identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our large Enterprise and Strategic Accounts teams. In this role, you will: - Partner with Account Directors on account strategy, multi-threading, and deal progression - Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts - 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 You may thrive in this role if you: - Speak fluent business-level Korean. - Have 4+ years of relevant experience in enterprise sales, or in strategic customer-facing roles in the finance or consulting industry - Have a track record of consistently hitting and exceeding ambitious targets in enterprise or strategic sales environments - Experience selling into regulated or complex industries (Financial Services, Life Sciences, Retail) - Strong communication skills and executive presence; be able to build credibility with senior C-Suite stakeholders across an organization, and speak fluently with technical buyers - Strong interest in the AI landscape with the ability to connect OpenAI products to real customer value and business outcomes - You enjoy evangelizing new technology and helping the market understand what’s possible - You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership. 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.
Research Engineer/Research Scientist - Personal AG...
About the Team The Personal AGI team seeks to empower all of humanity to benefit from frontier intelligence in whatever way they choose. We are responsible for training models to deploy to millions of users globally via ChatGPT, the API, and future products. We aim to evolve ChatGPT from a chatbot to an infinitely capable and personalized superassistant supporting human flourishing. We work on defining, measuring, and improving capabilities across the training stack. Our focus areas include but are not limited to model behavior, personalization, safety, factuality, instruction following, personality, interactivity, multilingual fluency, world interaction, and bringing agents to everyone. We chart the course for what to strive towards. We partner closely with research and product teams across the company ensuring that our models are safe, efficient, and reliable. About the Role You’ll work as a Research Engineer / Scientist on the North Stars team within the broader Personal AGI research org. You will work on bringing the next generation of AI-enabled experiences to all of humanity by closing the capability overhang between power users and the average consumer, including areas like tool-use, feature discovery, connectors, and instruction following. You will think deeply about the current bottlenecks in model behavior, translate these insights into robust evals, training data, reward signals, and model and harness improvements. We're looking for individuals with strong ML engineering skills and research experience passionate about creative, product-driven research. 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: - Own and pursue a research agenda to improve model capability and performance. - Collaborate closely with the other research and product teams, allowing customers to optimize their own models. - Build robust evaluations for tracking modeling improvements. - Design, implement, test, and debug code across our research stack. You might thrive in this role if you: - Have a deep understanding of machine learning and machine learning applications. - Have a working knowledge of relevant models, and building evaluations for model capability improvement. - Are comfortable diving into a large ML codebase to debug. - Thrive in a dynamic and technically complex 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.
Senior RTL Engineer, Interconnect Design
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 highly experienced, hands-on RTL engineer with deep packet-networking and interconnect expertise to own critical on- and off-chip communication components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip fabrics connecting high-bandwidth compute, memory, and I/O subsystems, as well as purpose-built off-chip interfaces and protocols that enable custom computing at scale. The ideal candidate has recently owned production RTL for networking or packet-switched datapaths such as Ethernet switches, NICs, SmartNICs, network accelerators, RDMA/RoCE systems, NoCs, or custom scale-up/scale-out fabrics. This is a senior engineering role with broad technical ownership and substantial direct RTL work. You will drive designs from requirements and performance analysis through microarchitecture, SystemVerilog implementation, verification closure, physical design convergence, silicon bring-up, and production readiness. You will also plan and oversee the work of junior engineers and help develop productive engineering relationships with external partners. In this role, you will: - Own the microarchitecture, RTL design, and delivery of major packet-based interconnect and networking components, including NoC fabrics, switches, routers, bridges, protocol adapters, arbiters, queues, schedulers, buffers, and traffic-management logic. - Design mechanisms for routing, arbitration, ordering, flow control, congestion management, quality of service, packet scheduling, buffering, and performance monitoring. - Develop on-chip and off-chip interfaces, protocol bridges, and custom networking protocols or protocol extensions for scale-up and scale-out systems. - Perform substantial direct microarchitecture, SystemVerilog coding, simulation, and debug work. - Collaborate with architecture and performance teams to analyze traffic patterns, identify bottlenecks, and optimize latency, bandwidth, fairness, and utilization under realistic workloads. - Work with verification teams to develop coverage plans, assertions, stress scenarios, and debug strategies for highly concurrent packet and fabric behavior. - Partner with physical design teams on floorplan-aware design, pipeline strategy, timing closure, power, area, and physical congestion. - Collaborate with firmware, software, validation, and post-silicon teams through bring-up and production readiness. - Drive third-party engagements involving networking, interface protocols, and silicon IP while maintaining design quality and execution accountability. - Provide technical leadership through architecture and design reviews, documentation, mentoring, and reusable RTL methodologies. You might thrive in this role if you have: - Extensive industry experience with recent, hands-on ownership of complex networking, packet-processing, or packet-switched interconnect RTL. - Demonstrated networking expertise in one or more of the following: Ethernet switching, NIC/SmartNIC/DPU datapaths, network accelerators, RDMA/RoCE, InfiniBand, traffic management, or custom scale-up/scale-out transports. - Deep expertise in Verilog/SystemVerilog and the development of clean, parameterized, production-quality RTL. - A strong record of owning major RTL blocks or SoC subsystems from requirements and microarchitecture through tape-out and silicon bring-up. - Experience designing queues, arbiters, schedulers, buffers, routing logic, virtual channels, credit-based flow control, congestion management, quality of service, ordering, or deadlock-avoidance mechanisms. - Experience with relevant on-chip, chip-to-chip, or host interfaces such as AXI, CHI, CXL, PCIe, or Ethernet, alongside deeper networking or packet-datapath expertise. - Experience designing custom networking protocols, protocol extensions, or hardware datapaths for large-scale RDMA/RoCE, HPC, or AI systems. - Strong familiarity with RTL development and signoff flows, including lint, CDC/RDC, synthesis, formal verification, static timing analysis, power analysis, and design-for-test considerations. - Experience collaborating with architecture, verification, physical design, firmware, performance, and post-silicon teams to deliver complex silicon. - Strong judgment when balancing performance, power, area, schedule, verification risk, and physical implementation constraints. - The ability to provide technical direction, mentor engineers, and drive alignment while remaining actively involved in RTL design and debugging. - A passion for reducing complexity and improving engineering leverage through automation and pragmatic design. Preferred Qualifications - Experience designing packet-switched interconnect or networking datapaths for AI accelerators, GPUs, CPUs, HPC systems, NICs/SmartNICs, switch ASICs, or large-scale datacenter silicon. - Experience addressing virtualization, isolation, RAS, telemetry, security, or memory-consistency requirements within complex networking or interconnect subsystems. - Experience with network or NoC performance modeling, traffic simulation, emulation, FPGA prototyping, or post-silicon traffic and performance analysis. - Experience leading architecture or RTL delivery for first-generation networking or interconnect IP in rapidly evolving silicon programs. 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.
AI Deployment Engineer, Cyber
About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You might thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. 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, Life Sciences
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 helps customers understand, adopt, and deploy OpenAI's technology across their most important workflows. The team is made up of Sales, Solutions, Support, Marketing, and Partnerships professionals who work together to bring AI to as many people and organizations as possible. About the role As an Account Director focused on Life Sciences, you will own executive-level relationships with organizations across biopharma, medical technology, and life science services. This includes pharmaceutical and biotechnology companies, medical device and diagnostics companies, contract research organizations, contract development and manufacturing organizations, research tools companies, and laboratory or scientific services providers. This is a role for someone who understands how life sciences companies create, validate, manufacture, commercialize, and support scientific and medical products. You will help these customers evaluate and deploy OpenAI's technology to accelerate R&D, improve clinical and regulatory workflows, scale scientific and medical content operations, modernize commercial and field teams, and improve knowledge work across highly regulated environments. The role blends scientific literacy, enterprise sales discipline, technical curiosity, and relationship-driven account leadership. You will partner closely with solutions, research, product, legal, security, and compliance teams to design secure, responsible, and high-impact AI deployments for life sciences customers. This role can be remote but New York or San Francisco office locations are preferred. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage a focused portfolio of strategic life sciences accounts across biopharma, medtech, diagnostics, CROs, CDMOs, and life science services - Develop long-term account plans that map OpenAI capabilities to customer priorities across R&D, clinical development, regulatory, manufacturing, medical affairs, commercial, and enterprise IT - Lead complex, multi-stakeholder sales cycles with executives, technical leaders, scientific stakeholders, procurement, legal, privacy, security, and compliance teams - Identify and shape high-value AI use cases such as drug discovery support, clinical trial operations, regulatory submissions, medical writing, pharmacovigilance, field enablement, customer operations, and enterprise knowledge workflows - Partner with solutions and research engineering to design pilots and deployments that demonstrate measurable business, scientific, and operational impact - Collaborate with privacy, security, legal, and compliance partners to support responsible AI deployment in regulated life sciences environments, including GxP and global data governance considerations - Own revenue, consumption, pipeline, forecast accuracy, and expansion strategy for your accounts - Monitor life sciences industry trends, regulatory shifts, competitive dynamics, and customer buying patterns to inform account strategy and the broader OpenAI go-to-market motion - Represent OpenAI in life sciences industry forums and customer executive conversations, including settings such as JPM, BIO, HLTH, and targeted biopharma or medtech leadership events - Partner cross-functionally with marketing, partnerships, communications, and product teams to build a repeatable life sciences go-to-market motion We're seeking someone with experience including: - 14+ years selling complex enterprise software, cloud, AI, data, or platform solutions to life sciences customers - A track record of building and growing strategic accounts across biopharma, medtech, diagnostics, CROs, CDMOs, life science services, or adjacent scientific industries - Proven success achieving and exceeding multi-million-dollar annual revenue targets in complex, regulated enterprise environments - Experience managing C-suite and senior stakeholder relationships across R&D, clinical, regulatory, manufacturing, medical affairs, commercial, enterprise IT, security, and data organizations - Strong understanding of life sciences workflows such as drug discovery, translational research, clinical development, regulatory submissions, quality, manufacturing, medical affairs, market access, and commercial operations - Familiarity with data privacy, security, compliance, validation, GxP, and responsible AI considerations relevant to life sciences companies - Demonstrated ability to create account strategy, navigate large buying committees, build executive consensus, and close complex platform or transformation deals - Ability to translate technical AI capabilities into concrete business, scientific, and operational outcomes for life sciences customers You might thrive in this role if you: - Are energized by helping life sciences companies use AI to advance scientific discovery, product development, and commercial impact - Can translate complex scientific, technical, regulatory, and business needs into clear AI adoption strategies - Are comfortable selling to both technical and non-technical executives across R&D, commercial, IT, data, security, legal, and compliance functions - Bring curiosity about biology, medicine, devices, diagnostics, research services, and the changing operating model of life sciences companies - Are a builder who enjoys creating repeatable sales motions, customer narratives, and proof points in an emerging market - Are a strategic account leader who can move from executive vision to practical pilot design, adoption planning, expansion strategy, and measurable customer impact - Are comfortable operating with ambiguity and creating clarity across complex, cross-functional engagements 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.
AI Deployment Engineer, Cyber
About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for an Applied AI Engineer, Cyber to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You might thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. 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.
AI Deployment Engineer, Cyber
About the team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You'll thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. 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 - Seoul
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 Seoul. 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.
Staff Security Reliability Engineer
About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: - Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. - Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. - Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching, recovery, and long-term reliability. - Build infrastructure-as-code and configuration management using tools such as Terraform, Chef, and Ansible. - Mature identity adjacent and policy enforced infrastructure, including Microsoft Entra and Azure management patterns. - Build observability, alerting, and incident response mechanisms that improve availability, recoverability, and operational confidence. - Automate high-toil and high-risk workflows with guardrails, progressive rollout patterns, and safe rollback paths. - Translate incidents, design reviews, and operational learnings into durable fixes, reusable patterns, and stronger technical standards. - Influence cross-functional partners across security, identity, network, and platform teams through architecture, implementation, operational data, and clear technical writing You might thrive in this role if you: - Have 10+ years of hands-on experience operating and architecting mission-critical infrastructure in high-reliability environments - Have experience running Security Infrastructure - Have been the senior technical owner for the design and maturation of complex on-prem, hybrid, or cloud-integrated systems, setting durable architectural patterns used by multiple teams - Apply Site Reliability Engineering principles at scale, using observability, automation, and incident learnings to materially reduce risk and operational toil - Operate comfortably in ambiguity, making sound architectural decisions under pressure while staying close to technical detail - Have experience operating infrastructure for R&D or specialized labs, manufacturing, or other safety critical environments where uptime and recoverability are essential - Have experience with fleet, endpoint, or virtual desktop platforms such as FleetDM, Chef, or Azure Virtual Desktop - Have experience partnering closely with identity or security engineering teams on hardened, policy enforced infrastructure at scale 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, Insurance
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 As an Account Director focused on Insurance you will own executive-level relationships with leading Insurance organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement. This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans. - Lead complex, multi-stakeholder sales cycles. - Partner with solutions and research engineering to design pilots that demonstrate measurable business impact. - Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments. - Own a revenue and consumption target; manage forecasts and pipeline reporting. - Monitor industry and regulatory trends to guide customer and product strategy. - Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020). - Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion. You might thrive in this role if you: - 14+ total years selling complex enterprise software or platform-as-a-service solutions. - 4+ years selling to Financial Insurance organizations. - Proven success achieving annual revenue targets >$2M+ in regulated industries. - Experience managing C-suite relationships. - Strong understanding of financial services workflows. - Demonstrated ability to design and execute complex deal and partnership strategies - Are customer-centric and can translate complex business needs into transformative AI solutions. - Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up. - Are a strategist who anticipates industry shifts and guides enterprise customers through them. - Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements. 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.
Deal Lead, Special Situations (Semiconductors)
About the team Special Situations at OpenAI is the company’s commercial engine for its most complex and consequential opportunities. The team operates where new verticals, partnership models, and customer motions must be invented, before a repeatable GTM or delivery playbook exists, by bringing together product, research, engineering, and GTM leaders around a single outcome. Many of these efforts begin as “new bets” (new verticals, new customer motions, new partnership models) and mature into repeatable ways of working that shape how OpenAI operates at scale. The team acts as a force-multiplier for the company by accelerating decision-making, aligning stakeholders, and converting complex opportunities into durable results. About the role We’re hiring a Deal Lead, Special Situations to help stand up new vertical bets, with a particular focus on partnership development in the semiconductor industry. You will identify where AI can create step-change value for semiconductor companies and ecosystem partners, originate and shape multi-project programs with FDEs and applied researchers, package them into compelling commercial proposals, and execute creative, complex partnerships while keeping executives and cross-functional teams tightly aligned. This role is especially focused on building strategic partnerships in semiconductors. You do not need to be a technical engineer, but you do need to be able to speak the language of the semiconductor industry, build credibility quickly with technical and business stakeholders, and come up the learning curve fast on industry dynamics, workflows, and constraints. A key part of the role is crafting deals with semiconductor companies that demonstrate our unique competitive advantages. To do this effectively, you will need to develop a strong point of view on the market, understand the competitive landscape, and clearly articulate OpenAI’s differentiated value and strategic advantage. Special Situations owns the overall success of each program, including commercial outcomes, while functional teams own execution decisions within their domains. You will engage executive sponsors when decisions have org- or company-level implications. You will set direction, build the coalition required to achieve it, structure the partnership, and improve decision quality and velocity. When the work can move without Special Situations, you’ll shift to the next highest-leverage opportunity. In this role, you will: - Identify and size high-value partnership opportunities in the semiconductor industry, translating industry pain points into concrete AI-driven commercial theses - Map the semiconductor partnership and competitive landscape, including internal AI teams and AI automation startups, and design differentiated partnership strategies that OpenAI can win and scale - Learn the language, workflows, and commercial dynamics of the semiconductor ecosystem quickly enough to build trust with both technical and business leaders - Work with FDEs and applied researchers to design multi-project programs that combine models, tooling, data, and services into outcomes partners will pay for - Define use cases, scope, sequencing, and success metrics that turn ambiguous opportunities into executable programs - Create the commercial and strategic narratives (decks, demos, proposals, and deal memos) that align partners, executives, and internal teams around a single plan - Articulate why OpenAI is the right partner versus a build-it-internally approach or external AI automation vendors serving the semiconductor market - Structure and negotiate non-standard partnerships, including revenue share, royalties, and bespoke commercial terms, through contract signature - Drive executive-level alignment and decision-making on tradeoffs, resourcing, and risk You might thrive in this role if you: - Have 10+ years in business development, partnerships, corporate development, private equity, or founding roles where you personally drove and closed complex, high-dollar deals from concept through delivery - Have meaningful experience in semiconductors or closely adjacent industries, including an understanding of how large companies in the sector buy, partner, and deploy technology - Do not need to be an engineer, but can speak credibly with technical teams and learn specialized industry language and concepts very quickly - Can take a vague opportunity and turn it into a clear commercial thesis that customers, executives, and technical teams can buy into and commit budget against - Can develop a sharp view of the competitive market and persuasively explain why OpenAI is better positioned than internal AI automation efforts or semiconductor-focused AI services startups - Excel at building and closing non-standard deals that combine product, services, and long-term strategic value rather than off-the-shelf SKUs - Know how to navigate large, sophisticated buyers, align multiple stakeholders, and keep deals moving when no one has full authority or clarity - Strengthen decisions by framing commercial and technical tradeoffs early so partners and OpenAI leadership can commit with confidence - Maintain momentum as scope, pricing, risk, and partnership structures evolve - Create structure and accountability across cross-functional teams so that deals actually convert into delivered outcomes - Deliver results without waiting for perfect information, adjusting the commercial and execution path as reality changes - Represent OpenAI with credibility and executive presence in customer and partner settings, from first conversation through long-term partnership 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, Large Enterprise | Life Sciences
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. In this role, you will: - Manage a small number of complex accounts, developing and executing strategies for a comprehensive account plan - 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 - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 10+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$2M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of 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 - Native or near native local language ability 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.
Forward Deployed Engineer - UAE
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role Forward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems,You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap. Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution. This role is based in Abu Dhabi. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. 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.
Account Director, Mid-Market
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 This role is part of our ANZ Mid-Market team which will own both named account pursuits and executing programmatic sales via OpenAI partners. You’ll be a key driver of writing the playbook for Mid-Market in APAC as an AI Native Sales team. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Sydney. In this role, you'll: - Manage a portfolio of accounts, developing and executing strategies for a comprehensive regional go to market plan - Win lighthouse accounts through outbound sales outreach - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years of direct selling experience in Data and AI or Cloud - Designing and executing complex go to market strategies - Orchestrating programmatic sales motions with partners - Experience operating in fast paced, high growth environments - Working directly with c-level executives - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Hands on experience with AI tools 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.
Account Director, Mid-Market
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 This role is part of our APAC Mid-Market team which will own both named account pursuits and executing programmatic sales via OpenAI partners. You’ll be a key driver of writing the playbook for Mid-Market in APAC as an AI Native Sales team. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Singapore. In this role, you'll: - Manage a portfolio of accounts, developing and executing strategies for a comprehensive regional go to market plan. - Win lighthouse accounts through outbound sales outreach. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 7+ years of direct selling experience in Data and AI or Cloud. - Designing and executing complex go to market strategies. - Orchestrating programmatic sales motions with partners. - Experience operating in fast paced, high growth environments. - Working directly with c-level executives. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Hands on experience with AI tools. 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.
Advanced Packaging Reliability 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 Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: - Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. - Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. - Develop, validate, and apply package reliability models and lifetime-prediction methodologies for assembly, qualification, and product operating conditions. - Evaluate and recommend package architectures, structural designs, materials, and assembly processes to maximize reliability performance and manufacturing robustness. - Predict electromigration lifetime of package interconnects under product-specific current, temperature, workload, duty-cycle, and PCB boundary conditions. You might thrive in this role if you have: - Enjoy solving complex reliability challenges associated with cutting-edge HPC packages, including very large package form factors, high power, and high-speed chip integration. - Are excited to develop new reliability test methodologies, predictive models, and engineering solutions rather than relying solely on conventional industry practices. - Are motivated by pushing the limits of heterogeneous verfical integration (chip/package/system), high-current power delivery, advanced cooling, and large-scale package architectures. - Want to influence product architecture and design decisions through simulation-driven insights across chip, package, cooling, and system levels. - Enjoy learning broadly across semiconductor technologies, including chip architecture, power delivery, package integration, materials, cooling, and system-level interactions. Minimum Qualifications - 8+ years of industry experience & knowledge of semiconductor package reliability principles and failure mechanisms, including electromigration, solder-joint fatigue, interfacial delamination, dielectric cracking, via failure, warpage, creep, stress relaxation, and material degradation. - In-depth knowledge of advanced packaging architectures, including 2.5D and 3.5D integration, interposers, embedded bridges, chiplets, large package substrates, HBM integration, redistribution layers, and package-level power delivery. - Demonstrated experience leading package failure investigations, performing root-cause analysis, and implementing effective design, material, process, or manufacturing corrective actions. - Strong experience with thermal and mechanical finite-element modeling of packages, including temperature distribution, warpage, stress, strain, fatigue, and interfacial reliability. - Strong understanding of package-material behavior, including coefficient of thermal expansion, elasticity, viscoelasticity, plasticity, creep, adhesion, fracture toughness, thermal conductivity, and temperature-dependent properties. Preferred Qualifications - Experience developing electromigration or interconnect lifetime models for solder joints, vias, redistribution layers, interposers, or package power-delivery structures. - Knowledge of package qualification methods, acceleration models, thermal cycling, power cycling, current-stress testing, and reliability lifetime extrapolation. - Familiarity with package failure-analysis techniques such as acoustic microscopy, X-ray imaging, cross-sectioning, scanning electron microscopy, and material characterization. - Experience supporting package-integrated voltage regulation, high-current power delivery, or high-transient-current AI and HPC products. - MS or PhD in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or a related technical field. - Strong communication, cross-functional collaboration, and technical leadership skills. 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.
Agent Post-Training, Personality
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team builds the data, environments, graders, training methods, and feedback loops that shape what OpenAI’s next agents can do and what they are like to work with, then carries those improvements through major training runs and into products used by people every day. About the Role As a member of the Agent Post-training Personality team, you will help make OpenAI’s agents exceptional collaborators. You will study what makes an agent thoughtful, clear, perceptive, appropriately proactive, and genuinely easy to work with, then translate those insights into evals, training data, reward signals, and model improvements. We use “personality” to mean much more than writing style or general likability. It includes whether an agent understands what the user is trying to accomplish, communicates with good judgment, adapts to context, asks useful questions, handles disagreement honestly and takes initiative at the right moments. The goal is to create a strong, tasteful default that can adapt to different people and situations. This work combines behavioral research, product thinking, research and communication taste. You will collaborate with product teams, human experts, and researchers across post-training and pretraining to ensure that improvements survive the full training stack and reach the models people use every day. In this role, you might - Develop a rigorous understanding of what makes an agent a great collaborator across professional, creative, technical, and everyday work. - Turn qualitative judgments about model behavior into concrete hypotheses, evals, graders, and training interventions. - Study explicit and implicit user signals to understand which behaviors create trust, satisfaction, continued use, and successful outcomes. - Work with human experts and trainers to produce high-quality, tasteful rollouts and preference data that capture excellent collaborative behavior. - Improve reward models and RL objectives for model behaviors. - Work with pretraining and early-training teams on data mixtures, objectives, synthetic data, and other upstream choices that shape downstream personality. - Build sustainable pipelines for updating older training data as our understanding of excellent model behavior evolves. - Partner closely with ChatGPT, Codex, and other product teams to turn consumer insight into model improvements and validate them in real workflows. - Own projects end to end, from observing a subtle behavioral failure through experimentation, training, evaluation, and launch. You might thrive in this role if you - Think instinctively from the user’s perspective and care deeply about how models feel to work with, not only how they perform on benchmarks. - Can translate subjective-seeming product questions into falsifiable hypotheses and rigorous evaluations without losing the nuance that made the question important. - Care about preserving individuality, adaptability, and behavioral diversity rather than optimizing every model toward one narrow style. - Want to shape how frontier agents communicate, collaborate, and build trust with millions of people. - Have strong technical foundations in machine learning, software engineering, statistics, behavioral science, HCI, or a related field, and can quickly learn across unfamiliar parts of the stack. - Have strong taste for model behavior: you can look at user feedback and can explain why one response feels thoughtful, natural, and useful while another does not. - Have experience with LLMs, post-training, RL/RLHF, reward modeling, evals, synthetic data, pretraining data, or production ML systems. - Are excited by ambiguous capability problems where the signal is noisy, the failures are qualitative, and the solution may involve data, training, evals, product changes, or all of the above. - Can work effectively with researchers, engineers, product teams, designers, domain experts, human-data teams and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. 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, Public Sector - Tokyo
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage ~dozen key accounts, developing and executing strategies for a comprehensive account plan. - Lead our enterprise prospects’ journeys from consideration to succesfull deployment. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product 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. - Designing and executing complex deal strategies. - Supporting the growth of 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. - Are proficient in both Japanese and English. This is essential to effectively perform key responsibilities such as partnering with customers, driving the sales cycle, managing accounts, collaborating with cross-functional teams, and communicating with headquarters. - 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.
System Performance Engineer, Consumer Devices
About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology. About the Role OpenAI is seeking a System Performance Engineer to profile, benchmark, and optimize performance across our embedded hardware products. In this role, you will work across operating systems, applications, camera and vision, graphics, and platform teams to define product KPIs, build performance tooling, and drive optimizations from early lab characterization through product launch and real-world usage. You will help establish the performance standards that shape the user experience of our products, ensuring they remain responsive, efficient, and reliable throughout their lifecycle. This role requires deep expertise in embedded or high-performance systems, strong operating systems fundamentals, and hands-on experience debugging under tight latency, power, and memory constraints. This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires. In this role, you will: - Develop system performance benchmarks, methodologies, and policies to evaluate end-to-end product behavior. - Profile and analyze performance across key product use cases and workloads using custom and industry-standard profiling tools. - Partner closely with engineering teams to identify bottlenecks and drive performance optimizations across the software stack. - Define high-level product KPIs and establish measurement frameworks to measure launch readiness and monitor performance throughout the product lifecycle. - Measure, report, and track metrics including system responsiveness, memory utilization, cold boot performance, long-term stability, and behavior under constrained conditions such as thermal limits and low battery states. - Investigate field performance regressions and drive issues to resolution using data-driven analysis. You might thrive in this role if you have: - Deep experience shipping embedded or high-performance systems on Linux, Android, or iOS devices. - Strong proficiency in C/C++, Python, or Rust, with exceptional operating systems fundamentals, including process management, IPC, drivers, interrupts, power management, media frameworks, graphics, filesystems, and networking. - A proven track record shipping real-time systems operating under tight latency, power, and memory constraints. - Expertise with profiling and debugging tools such as Perfetto, GDB, LLDB, perf, ftrace, or Instruments. - Experience building instrumentation, analytics, and performance tuning frameworks. Preferred Qualifications - Familiarity with statistics, experimentation methodologies, or data science concepts. - Experience collaborating cross-functionally with embedded software, systems, camera and vision, audio, graphics, applications, and hardware teams. - Experience defining product KPIs, benchmarking methodologies, and launch readiness metrics for hardware products. - Experience investigating field performance regressions and driving fixes through cross-functional collaboration. 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, ChatGPT Finances
The ChatGPT Finances team builds experiences that help people connect their financial accounts, understand their financial picture, and ask useful questions about their finances through ChatGPT. Our work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences. We collaborate across product, design, research, infrastructure, security, and data integrations to make complex financial information understandable and actionable. This is an early and ambitious product area with a substantial roadmap. We are looking for engineers who want to shape both the first user experiences and the durable systems required to earn and keep users’ trust. About the role We’re looking for full-stack product engineers to build and scale ChatGPT Finances. You will own features across the stack—from polished frontend experiences to the APIs, services, and data models that power them. This role is well suited to engineers who combine strong product judgment with broad technical depth. You should care about how quickly users can understand their financial lives, how reliably data moves through the system, and how AI can answer financial questions in a grounded, transparent, and useful way. You will work closely with product, design, research, infrastructure, security, and data integration teams to take ideas from early prototypes to reliable production experiences. In this role, you will - Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability. - Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows. - Design APIs and backend systems that safely ingest, normalize, and serve financial data. - Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent. - Bring new AI capabilities into production while prioritizing grounding, accuracy, transparency, and user control. - Establish architecture, performance standards, testing practices, and operational safeguards for a fast-growing product area. - Debug and improve complex behavior across client, server, infrastructure, and external integrations. - Use qualitative feedback, product metrics, and experiments to improve user outcomes without compromising clarity or trust. - Collaborate across disciplines to turn ambiguous product opportunities into simple, reliable experiences. You might thrive in this role if you - Have experience building and shipping full-stack consumer products in production. - Are comfortable working in a modern frontend stack and building the APIs and services behind it. - Care deeply about product craftsmanship, performance, accessibility, and details that affect the user experience. - Understand API design, data modeling, system reliability, and the tradeoffs involved in evolving production systems. - Can move effectively between frontend, backend, and product decisions rather than remaining in a narrow implementation area. - Have strong product judgment and can take a feature from a rough idea to a shipped, measurable outcome. - Work well in ambiguous, high-impact areas where the product and technical architecture are still taking shape. - Think carefully about privacy, security, reliability, and user trust when working with sensitive data. - Enjoy diagnosing problems across system boundaries and improving the underlying engineering foundations. - Are interested in AI-native interfaces and new ways to make complex personal information easier to understand. Preferred qualifications - Experience building backend services using languages and frameworks such as Python, Go, Node.js, or comparable technologies. - Experience with frontend development using React / Typescript, or Swift or Kotlin. - Experience operating consumer products or distributed systems at scale. - Experience with fintech, personal finance, banking, payments, investing, or sensitive-data domain. - Familiarity with authentication, identity, permissions, privacy, and secure data flows. - Experience building dashboards, data visualizations, or insight-oriented products. - Familiarity with observability, experimentation, product metrics, and iterative development. - Experience with applied AI, conversational interfaces, or systems that incorporate model-generated output. 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.
Lead, Incidents & Escalations, User Operations
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. 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 We are looking for a hands-on lead to build and run OpenAI's Incidents & Escalations function within User Operations. This is a player-coach role with a meaningful hands-on operating component. You will set the operating model and also step into active incidents and urgent escalations when needed, coordinating with on-call teams, driving clear ownership, supporting communications, and ensuring issues move through resolution and post-incident closure. During active incidents, you will coordinate with the relevant on-call teams and cross-functional responders across Engineering, Infrastructure, Support Delivery, Product, and Go-To-Market. You will help keep teams aligned, maintain timelines, clarify ownership, escalate when needed, and ensure internal, executive, customer-facing, and external communications are accurate and timely, including status page updates when required. For escalations, you will build and run the processes for tracking, triaging, mitigating, and resolving critical customer and user issues. After incidents and escalations, you will own the follow-through: retrospectives, root cause identification, action item tracking, trend analysis, and process improvements that reduce repeat issues over time. You will also help define the long-term operating model for incidents and escalations across Support Delivery, Engineering, Infrastructure, and other cross-functional partners. This role is ideal for someone who can operate calmly under pressure, bring structure to ambiguity, communicate clearly across technical and non-technical audiences, and improve the system while overseeing day to day operations. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will - Participate in an on-call rotation and serve as the active incident lead during live incidents and urgent escalations. - Own alert intake and triage process across support, safety, customer, and service-impacting issues. - Assess severity, determine scope and impact, and initiate the appropriate response path. - Page and coordinate Engineering, Infrastructure, Support Delivery, Product, Legal, Policy, Go-To-Market, and other teams as needed. - Lead incident response calls, manage timelines, clarify roles, and keep responders focused and unblocked. - Set internal guidelines for incident communications to all users, including enterprise customers, and own internal updates, executive briefings, customer-facing updates, and external status page updates where required. - Maintain situational awareness across all customer-facing incidents and parallel workstreams, ensuring the response remains coordinated and customer impact is understood. - Create and operate the process for monitoring, processing, mitigating, and resolving critical escalations, including formal closure and handoff. - Identify root causes behind incidents and escalations, lead retrospectives, and coordinate corrective action with accountable teams. - Track corrective actions to closure and ensure follow-through is focused on the best possible customer outcome. - Identify recurring operational issues, escalation patterns, and product or process gaps. - Partner with Engineering, Infrastructure, Product and Support leaders to stay ahead of customer-facing incidents, reduce repeat issues, and improve readiness. - Improve incident response processes, severity frameworks, playbooks, tooling, reporting, and automation. - Build a durable operating model for incidents and escalations as OpenAI scales globally. You Might Thrive In This Role If You - Have 8+ years of experience in incident management, technical support, escalation management, SRE, technical program management, or production operations. - Have 5+ years of hands-on experience working in production, on-call, or high-urgency operational environments. - Have 4+ years of leadership experience, ideally in a Support, Engineering, or similar environment. - Are comfortable acting as Incident Commander, owning coordination, decision-making, communication, and accountability during live incidents. - Have direct experience with customer-impacting incidents, executive escalations, safety-sensitive escalations, or high-severity technical issues. - Can communicate clearly under pressure with engineers, support teams, executives, customer-facing teams, and external stakeholders. - Have hands-on experience with incident communications, including internal updates, executive briefings, customer updates, and status pages. - Are experienced with incident management, paging, and alerting tools such as incident.io , PagerDuty, Datadog, Jira, Salesforce, Zendesk, or similar systems. - Understand monitoring and observability well enough to reason about alerts, system health, customer impact, and incident scope. - Can lead post-incident retrospectives that produce clear root causes, corrective actions, and durable improvements. - Drive action items to closure and hold teams accountable without creating unnecessary process drag. - Are highly organized, calm, and structured in ambiguous or high-pressure situations. - Can balance hands-on incident execution with longer-term systems building. - Are excited to use AI and automation to improve triage, routing, summarization, reporting, knowledge management, and incident follow-through. 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, Product and Customer Trust
About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but operational in how we do our work, and we partner deeply with Product, Security, Legal, Privacy, GTM, and Field Security to help OpenAI move quickly while maintaining trust with customers, auditors, regulators, and the public. About the Role We are looking for an experienced Product Lifecycle Assurance IC to help scale OpenAI’s GRC function across our product stack to ensure products address customer and regulatory compliance requirements at launch and regressions are detected promptly and corrected. You will partner closely with Product, Security, Legal, and Privacy teams to make sure OpenAI can move quickly while maintaining our security, privacy and compliance claims and giving customers, auditors, and regulators assurance about how OpenAI handles user data. You are responsible for product assurance end-to-end from inception to post-launch (continuous) monitoring. You leverage existing workflows, reviews, and data and enhance, augment and build the components needed to create an end-to-end product assurance program. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply technical operations role to ensure that OAI products meet the compliance bar at launch, regressions are prevented and detected, and our compliance state can be evidenced. This role also helps ensure that our product launch governance program operates effectively across key safety, privacy, legal and security stakeholders and lessons-learned from incidents and regressions are used to improve the program. You or in partnership with engineering teams, build key controls in our infrastructure stack, developer workflows and launch tooling to provide developers with guardrails, perform CI/CD conformance checks, and surface launches that need GRC guidance. You ensure that teams have the information needed to design and launch safety and meet them where they are. You exercise sound judgement in making high-stakes decisions related to product launch risk and controls. You are comfortable working in high velocity, low friction development environments. Your work goes across team boundaries and you assist and enable other teams to realize product assurance objectives. You should be comfortable with complex (Kubernetes) system architectures and dataflows, working with engineering teams to understand what could go wrong and where and how controls should be applied. You should be comfortable working with Privacy engineering and Data Science to understand data maps and database schemas and leverage existing processes and controls to further product assurance goals. We’re looking for people who bring: - Strong technical product lifecycle assurance and security and privacy compliance experience working in high velocity, low friction development environments. - Experience building technical controls, metrics, monitoring tools, CI/CD tooling, high-fidelity risk signals and dashboards to meet product assurance goals - Ability to run an end-to-end, cross-functional, product assurance program applying judgement where what type of process or controls should be in place to meet a high assurance bar - Capacity to shift product assurance to the left in the product development cycle with just-in-time controls, guidance, guardrails and responsible friction for developers - Low ego outcome oriented mindset to achieve the product assurance goal required for OAI’s mission - Strong technical cross-functional leadership and don’t work in a vacuum - they influence, align and direct partner teams to achieve product assurance goals. - Exercise sound judgement in making high-stakes decisions related to product launch risk and controls. You’ll be responsible for: - The end-to-end effective operation of OAI’s product assurance program from product development to post-launch (continuous) monitoring - Owning the GRC product assurance program, providing governance over Safety, Deployment, Security, Legal reviews to ensure we effectively surface product risk and design scalable mitigations - Driving cross-function collaboration and accountability in all aspects of the product assurance program - Building controls and low-friction, scalable processes in our infrastructure stack, developer workflows and launch tooling to ensure effective product assurance - Ensuring that teams have the guidance needed to design and launch safety and meet them where they are - Ensuring compliance, security and privacy claims and maps to verifiable controls - Recognizing how the product lifecycle assurance program fits into the large organizational objectives and when to build and when to influence and maintain strong partnerships with partner teams and influence roadmaps to further assurance goals - Applying sound judgement in launch reviews, technical assurance trade-off and management of OAI risk posture to guide product and engineering teams on the highest 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.
Software Engineer, Private Computing
About the Team The Private Computing team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like confidential computing, trusted execution environments, and end-to-end encryption to ship product features across ChatGPT, the API, and our future consumer devices. About the Role We’re looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT, API, and future consumer devices. In this role, you will: - Ship fast while balancing difficult trade-offs in complex domains - Build core abstractions for trusted execution environments and end-to-end-encryption - Build product features for private inference and storage across ChatGPT, API, and future consumer devices - Update build systems to increase trust and verifiability - Integrate with safety and integrity infrastructure - Operate systems at scale with high reliability, including an on-call rotation - Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal You might thrive in this role if you: - Care deeply about user privacy and security - Have 5+ years of experience in professional software engineering - Have experience building and scaling confidential computing or encryption technologies in production environments - Have experience with Kubernetes and cloud orchestration systems - Take pride in building and operating scalable, reliable, secure systems - Can collaborate well and drive alignment in the face of difficult trade-offs - Are comfortable with ambiguity and rapid change Workplace & Location This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely 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, Codex
About the Team The Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the Role We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will influence how developers around the world write, review, test, and maintain software. In this role, you will: - Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, and developer tooling. - Design AI-powered workflows that generalize across a wide variety of software engineering teams, languages, codebases, and development practices. - Discover and implement novel ways to apply AI to eliminate friction throughout the software development lifecycle. - Partner closely with product, design, and research to understand developer needs and rapidly translate insights into shipped product improvements. - Work directly with users — including developers at OpenAI, open-source contributors, startups, and large enterprises — to understand pain points and validate solutions. - Improve the reliability, observability, scalability, and performance of the systems and workflows you build. You might thrive in this role if you have: - Strong software engineering fundamentals and experience building production systems. - Experience with TypeScript, Rust, or a similar systems or application programming language. - Deep familiarity with modern software development tools, workflows, and engineering practices. - Experience using AI-assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities. - A desire to own products and features end-to-end, from conception through launch and iteration. - Strong product judgment and a bias toward learning from real user feedback. - Creativity in reframing problems, challenging assumptions, and inventing new workflows rather than simply optimizing existing ones. The ideal candidate is someone who loves building developer tools, thinks deeply about how software gets built, and is excited by the opportunity to redefine those workflows from first principles in the age of AI. 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.
Research Program Manager, Human Data Campaigns
About the Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-5, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams. About the Role As a Research Program Manager (RPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team. This role is based in our San Francisco HQ. In this role, you will: - Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks. - Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions. - Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim. - Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights. - Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management. - Scale Your Impact : Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities. You might thrive in this role if you: - Are proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights. - Are proficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows. - Are proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making. - Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch. - Enjoy being part of an ambitious and technically-minded team. - Have experience working at large scale across a portfolio of projects. - Want to get your hands dirty; grit and creative problem solving will be required daily. - Have an action-oriented and deeply curious mind. - Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you. - Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization. - 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.
Software Engineer, Web Layer
About the Team The Codex Web Layer team provides the web-based systems and user experiences for Codex across the entire stack, from the Electron-like application framework that powers the application, to the user-facing in-app browser. About the Role In this role, you will be responsible for designing and implementing infrastructure and features end-to-end for the Codex desktop client application. You will help define what it means to be a hybrid agentic/interactive web browser. The team embodies “full stack” development from the lowest-level OS integration to the highest-level interaction design. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will: - Partner closely with product and design to conceive, design, and build features for Codex web browsing features on macOS and Windows. This role will focus mostly on the backend C++ layer and Chromium, but many features cross the full stack including some TypeScript. - Partner with the wider Codex team to deliver a high-performance, stable, and secure application platform for client development. This includes API design and implementation (mostly in C++) and the infrastructure that supports deploying it (in Python, TypeScript, and agentic skills). - Work with a small, experienced team of engineers on this critical and rapidly growing product. You might thrive in this role if you: - Have significant experience building technically complex features end-to-end. - Are a strong C++ developer, especially with experience in browser environments like Chromium and Electron. Since this role is more backend focused, general knowledge of web development and TypeScript is helpful but not required. - Thrive in a fast-paced, ambiguous environment. - Communicate clearly and concisely across many different roles in the organization. - Are self-directed, identifying important work and executing it end-to-end. 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, FSI - Japan
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage ~dozen key accounts in the Financial Services Industry, developing and executing strategies for a comprehensive account plan. - 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. - Manage consumption revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product 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 in the Financial Services Industry. - Native-level Japanese language proficiency. - Achieving revenue targets >$1M per year for more than 3 years - Designing and executing complex deal strategies. - Supporting the growth of 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.
Agent Post-Training Research
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. This role may be based in San Francisco or London, subject to team needs and location approval. In this role, you might - Design and run experiments that improve agentic model behavior across coding, tool use, function calling, computer use, multi-agent collaboration, long-horizon tasks, factuality, instruction following, and calibrated reasoning. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex, API/platform, and ChatGPT product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. You might thrive in this role if you - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. 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
Full Stack Software Engineer, ChatGPT ImageGen
About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent breakthroughs in multimodal AI have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering. We're building the systems and experiences that turn these research advances into products used daily by creators, professionals, businesses, and consumers around the world. Our team sits at the intersection of research, product, design, and infrastructure. We work closely with model researchers, mobile engineers, frontend engineers, and platform teams to build intuitive experiences and scalable systems that power image generation at global scale. Whether users are creating marketing assets, visualizing ideas, editing photos, designing products, or simply exploring their creativity, our goal is to make visual creation feel as natural as having a conversation. About the Role We are looking for an experienced Full Stack Engineer to join the Image Generation team and help shape the future of AI-powered visual creation. In this role, you'll own features end-to-end across both frontend and backend systems, building the experiences that enable users to generate, edit, organize, and interact with images inside ChatGPT. You'll work across the entire stack—from highly interactive user interfaces and real-time workflows to backend services, APIs, orchestration systems, and data infrastructure. This role is ideal for engineers who enjoy moving fluidly between product development and systems engineering, collaborating closely with design, product, and research teams to rapidly bring new AI capabilities to users. You'll help define entirely new interaction paradigms as multimodal AI continues to evolve. In this role, you will: - Design, build, and launch end-to-end product experiences for image generation and image editing within ChatGPT. - Develop highly interactive frontend experiences that make sophisticated AI capabilities feel intuitive, fast, and delightful. - Build scalable backend services, APIs, and workflows that power image creation, editing, storage, sharing, and retrieval. - Partner closely with researchers to rapidly prototype and productionize new multimodal capabilities. - Collaborate with Product, Design, Data Science, and Engineering teams to identify high-impact opportunities and execute against them. - Own projects from concept through launch, including technical design, implementation, experimentation, measurement, and iteration. - Optimize performance across the stack, from frontend responsiveness and rendering to backend latency, reliability, and scalability. - Design systems that can support millions of users generating and interacting with visual content simultaneously. - Leverage experimentation and user insights to improve engagement, usability, quality, and product outcomes. - Contribute to engineering best practices around architecture, testing, observability, developer productivity, and operational excellence. - Help define the future roadmap for AI-powered creative tools and visual experiences. You might thrive in this role if you: - Have experience building and shipping production-grade applications across both frontend and backend systems. - Are comfortable working with modern web technologies such as React, TypeScript, and contemporary frontend frameworks. - Have experience building scalable backend services, APIs, and distributed systems. - Enjoy owning products end-to-end and can seamlessly move between user experience challenges and infrastructure decisions. - Have strong product instincts and enjoy thinking deeply about how users interact with technology. - Are highly analytical and comfortable using experimentation, metrics, and user feedback to drive decision-making. - Thrive in fast-moving environments where priorities evolve quickly and new opportunities emerge constantly. - Enjoy collaborating with cross-functional partners including researchers, designers, product managers, and data scientists. - Are excited by multimodal AI and motivated by the opportunity to define entirely new ways for people to create and communicate visually. - Have experience with media platforms, creative tools, image processing, content creation products, or AI-powered applications (a plus). Why this role is unique Image Generation sits at the center of some of the most exciting advances happening in AI today. As a Full Stack Engineer on the team, you'll have the opportunity to work across the entire product surface, influence both user experience and technical architecture, and help bring cutting-edge multimodal research to hundreds of millions of users. The problems are highly visible, technically challenging, and deeply impactful—spanning product innovation, distributed systems, AI integration, and large-scale user experiences. 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.
Applied Data Science & Insights Leader - GTM Intel...
About the Team The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. About the Role As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. The Vision - Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback. - Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams. - Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes. - Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention. - Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership. In This Role, You Will: - Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders. - Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics. - Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales. - Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work. - Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment. - Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness. - Design next-best-action systems that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation. - Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time. - Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages. - Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards. - Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership. - Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback. - Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats. You Might Thrive in This Role If You Have: - 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field. - Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems. - Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems. - Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage. - Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams. - Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences. - Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives. - Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering. - A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions. - Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review. - Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture. - An advanced degree in a quantitative field, or equivalent practical experience. 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, Security, First Party H...
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 Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: - Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment. - Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices. - Own device identity, provisioning, enrollment, attestation, certificate lifecycle, and key-management requirements across manufacturing and data center bring-up. - Harden management interfaces and operational access paths across BMCs, hosts, accelerators, switches, and service tooling, including TLS/mTLS, Redfish, gNMI, SSH, syslog, and break-glass workflows. - Drive security requirements for manufacturing, supply chain, firmware/image signing, storage encryption, RMA, repair, and decommissioning processes. - Build and drive validation for security-critical hardware and firmware behavior, including debug lockout, lifecycle transitions, update paths, attestation evidence, and recovery flows. - Partner with vendors and contract manufacturers to turn security requirements into concrete deliverables, test evidence, and launch gates. - Drive end-to-end closure across design, implementation, manufacturing readiness, deployment readiness, fleet operations, and incident response when security issues arise. - Investigate hardware and firmware security issues, assess exploitability and operational risk, and drive durable fixes with engineering owners. You might thrive in this role if you have: - 7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in hardware security, embedded security, firmware security, platform security, or low-level systems security. - Experience shipping or securing real hardware platforms, embedded devices, servers, accelerators, networking systems, BMCs, bootloaders, BIOS/UEFI, RTOS, kernels, or firmware update systems. - Deep familiarity with secure boot, measured boot, TPMs, hardware roots of trust, device attestation, key provisioning, debug interfaces, firmware signing, recovery, or lifecycle-state design. - Strong applied-cryptography judgment for secure boot, attestation, TLS/mTLS, key storage, certificate lifecycle, storage encryption, and long-range transitions such as post-quantum readiness. - Ability to read and write systems code in C, C++, or Rust and to use that skill to review, prototype, test, or debug security-critical behavior. - Comfort with hardware-software interfaces such as SPI, I2C, SMBus, PCIe, UART, JTAG, SWD, GPIOs, TPMs, and board-level debug tools. - Proven track record driving security improvements with hardware, firmware, infrastructure, manufacturing, operations, and partner teams. - Experience owning broad, ambiguous security programs end to end, including translating risk into technical requirements, validation plans, and accountable engineering decisions. - Clear written and verbal communication, with the ability to turn ambiguous security risks into actionable requirements, design reviews, tests, and decisions. 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.
Technical Program Manager, Applied API & Product
Technical Program Manager – Applied Product & Platform About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution. About the Role We’re seeking a Technical Program Manager to drive complex, large-scale product and platform initiatives across ChatGPT, API, and related surfaces. This role sits at the intersection of technical strategy and execution. You’ll be responsible for translating product vision into actionable plans, shaping interfaces and experiences from both consumer and developer perspectives, and ensuring successful delivery across web, mobile, and platform layers. You’ll bring deep technical fluency, product sense, and a strong execution track record. You’re comfortable managing ambiguity, influencing architectural direction, advocating for developers, and leading cross-functional delivery with discipline and empathy. Location: San Francisco, CA (Hybrid – 3 days/week in-office) In this role, you will: - Collaborate with product, engineering, and design to shape roadmaps, technical strategies, and long-term platform direction. - Translate product vision into clear, scalable technical execution plans, balancing short-term delivery with long-term platform evolution. - Lead end-to-end execution of cross-functional product and platform programs—from planning through launch and iteration. - Own timelines, milestones, dependency management, risk mitigation, and accountability across teams. - Partner with engineering teams to influence architectural decisions and interface definitions for public and internal APIs. - Understand full-stack systems across client (web, mobile) and server (API, back-end) surfaces to ensure holistic and performant solutions. - Serve as a central coordination point across product, design, engineering, legal, policy, and go-to-market stakeholders. - Ensure alignment on priorities and unblock teams through structured execution and consistent communication. - Deliver crisp and clear updates to technical and executive stakeholders on program health, risks, and tradeoffs. - Influence product and leadership decisions by representing developer and customer perspectives grounded in deep context. - Identify systemic inefficiencies and propose new tools or processes to improve product delivery and cross-team velocity. - Leverage data and AI-powered internal tooling to track progress, surface gaps, and optimize product and developer experiences. You might thrive in this role if you: - Have 10–15+ years of experience driving high-impact technical programs in product and platform domains. - Have strong technical acumen across front-end/client technologies, API development, and scalable systems architecture. - Have successfully delivered developer-facing tools or platforms and can advocate for the end-user and developer experience. - Bring excellent program management discipline—comfortable managing multiple concurrent efforts, leading complex execution, and bringing clarity to ambiguity. - Demonstrate product intuition and can connect user needs to technical tradeoffs and platform decisions. - Are a highly structured and empathetic communicator who fosters alignment and moves cross-functional teams forward. - Are curious, hands-on, and thrive in a fast-moving environment with high trust and high standards. 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.
AI Deployment Engineer, Enterprise
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. 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.
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