Full Stack Product Engineer at OpenAI | San Francisco

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with the most forward-thinking organizations to convert groundbreaking AI advancements into tangible business outcomes. We support our clients from their initial deployment through to extensive enterprise integration. Our contributions encompass technical integration and enablement, workflow innovation, and ongoing program and product execution.Our clientele includes dynamic digital startups as well as major global corporations, government entities, and educational institutions. Each engagement provides a chance to influence how AI transforms work, enhances productivity, and drives innovation. This position is pivotal to our mission.Role OverviewAs an AI Success Engineer, you will be the primary point of contact for OpenAI's key customers post-sale. Your responsibilities will include enhancing account health and adoption, ensuring technical readiness, identifying new applications, and delivering measurable value using OpenAI's rapidly evolving platform.This position requires a blend of technical expertise, program management, customer advisory, and product influence. You will closely collaborate with customer teams to map workflows, lead configuration efforts, supervise deployment strategies, and guide customers toward impactful use cases that demonstrate the full potential of our platform.Collaboration with Sales, Solutions Architecture, Product, and Research teams will be essential to provide a seamless and successful experience for customers at every interaction. Success in this role entails accelerating adoption rates, deepening customer activation, guiding strategic use cases into production, and helping customers achieve measurable business results.Your Responsibilities Include:Overseeing post-sale technical success, adoption, and value realization across a diverse customer portfolio, leveraging customer insights, product signals, and business impact to determine priority engagement areas.Serving as a trusted advisor regarding deployment health, adoption strategies, and value realization for ChatGPT, API, Codex, and related capabilities.Analyzing logs, telemetry, usage patterns, and customer feedback to diagnose issues, form hypotheses, and provide actionable recommendations on latency, reliability, model selection, prompting, cost efficiency, and rollout preparedness.Leading targeted interventions for critical moments such as launches, risk signals, escalations, renewal preparation, and high-potential expansion opportunities.Translating customer objectives into practical, effective strategies.

About Our TeamJoin the innovative AI Success Engineer team at OpenAI, where we collaborate with forward-thinking organizations to harness the transformative power of artificial intelligence. Our mission is to ensure that cutting-edge AI technologies translate into tangible business outcomes, guiding clients from initial deployment to extensive enterprise adoption. Our expertise encompasses technical integration, workflow transformation, and ongoing program and product delivery.We work with a diverse clientele, including rapidly growing digital companies, established global enterprises, government bodies, and educational institutions. Each engagement offers a chance to influence the impact of AI on work processes, productivity, and innovation. This role is pivotal to our vision.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for OpenAI’s key clients. Your role involves ensuring account health, promoting user adoption, ensuring technical readiness, uncovering new use cases, and delivering significant value through our rapidly expanding platform.This position combines technical expertise, program management, customer advisory, and product influence. You will engage deeply with customer teams, analyze workflows, lead configurations, manage deployment plans, and guide clients to impactful use cases that highlight the full potential of our solutions.Collaboration is key; you will work closely with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience at every interaction. Success in this position means accelerating adoption rates, enhancing customer engagement, facilitating strategic use cases from concept to production, and enabling clients to demonstrate measurable business results.This position is based in San Francisco (in-office three times a week), and we provide relocation assistance for new hires.Key Responsibilities:Develop and maintain strong technical relationships with post-sale clients, serving as their trusted advisor on deployment, adoption, and value realization.Oversee account health, user adoption rates, and continuous technical deployment success within your portfolio.Become an expert in OpenAI's suite of products, including our API, Codex, and ChatGPT Enterprise, conducting technical enablement and configuration sessions.Identify and validate potential use cases by collaborating closely with customer teams to assess workflows and pain points.

About the TeamJoin the AI Success Engineering team, where we transform innovative AI technologies into impactful enterprise solutions. Collaborating closely with our clients, we guide them from initial experimentation to substantive real-world transformations, focusing on adoption, technical preparedness, and long-term value realization. Our team is pivotal in accelerating the deployment of AI products in production, ensuring they deliver measurable business results. We work in synergy with Sales, Solutions Architecture, Technical Success, and Product teams to safely and successfully bring leading-edge AI solutions to market.About the RoleWe are in search of a seasoned technical leader to oversee and expand a high-performing team of AI Success Engineers. This team is responsible for ensuring post-sale technical success for ChatGPT Enterprise, facilitating customer onboarding, activation, and adoption through structured programs, enablement initiatives, and change-management strategies.AI Success Engineers are highly technical and hands-on, assisting customers with advanced capabilities including connectors, Codex, custom GPTs, and other cutting-edge features upon their release. They collaborate closely with client stakeholders to guarantee effective deployment, widespread adoption, and tangible business outcomes.In this leadership role, you will shape team strategy, ensure robust execution and technical excellence, and create frameworks that promote scalability, consistency, and operational superiority—while maintaining close connections with customers and the field.This position is based in San Francisco and follows a hybrid work model, requiring three days per week in the office. Some regional travel will be required.Key ResponsibilitiesDevelop and implement the strategy and operational framework for the AI Success Engineering team, ensuring alignment with OpenAI's goals and customer requirements.Recruit, lead, mentor, and nurture a high-performing team of AI Success Engineers with solid technical capabilities and a focus on customer impact.Oversee the successful post-sale adoption of OpenAI products across various sectors, including enterprises, digital-native companies, and high-growth organizations.Ensure technical readiness and effective adoption of advanced OpenAI capabilities, collaborating closely with clients on practical applications.Advocate for customer perspectives to inform product development and commercial strategies.Establish operational rhythms, such as leadership updates and knowledge-sharing platforms, to enhance team effectiveness.

About Our TeamJoin our AI Success team, where we empower organizations to transform cutting-edge AI technology into real-world business benefits. We facilitate the large-scale adoption of OpenAI solutions, guiding clients from initial engagement through to significant, measurable organizational impact. Collaborating closely with Sales, Product, Solutions Architecture, and Security teams, we ensure a safe and responsible AI transformation journey. Our efforts define how clients derive and evaluate concrete results from OpenAI products, while creating a scalable blueprint for successful enterprise implementations and expansions.About the PositionWe are on the lookout for a Value Engineer who can clearly communicate and quantify the business advantages of OpenAI's technology across sectors including Enterprise, Education, and Government. In this pivotal role, you will assist both clients and internal teams in translating AI implementation into quantifiable financial and operational benefits.As one of the founding members of the Value Engineering team, you will play a crucial role in establishing how OpenAI assesses and conveys the real-world impact of AI for its clients. You will collaborate closely with Sales, AI Success Engineers, Deployment Engineering, and Product teams to pinpoint high-value AI applications and develop financial and operational business cases. Your contributions will directly affect executive alignment, investment choices, contract renewals, and long-term growth strategies.This is an exciting opportunity to help build the value engineering function from the ground up, designing repeatable frameworks, ROI models, value narratives, dashboards, and materials that enable internal teams and clients to understand and measure the impact of AI adoption.Success in this role will be assessed on how effectively clients and internal teams can quantify AI value, the robustness of the business cases supporting adoption and expansion initiatives, and the scalability of value frameworks across our go-to-market organization.This position is based in San Francisco or New York City, and we provide relocation benefits for new hires.Key ResponsibilitiesConduct business value assessments for our largest contracts, collaborating with clients to pinpoint critical business drivers and quantify the value of OpenAI’s offerings to bolster investment decisions.Develop and uphold standardized ROI, TCO, and value modeling tools for both internal and customer applications.Facilitate structured value discovery sessions to identify high-impact use cases and establish measurable outcomes.

OpenAI is hiring a Field Engineer in San Francisco. This position centers on bringing advanced AI solutions into practical use across a range of industries. Role overview Field Engineers at OpenAI work directly with clients to implement AI technologies in real-world environments. The role involves hands-on problem solving and adapting solutions to meet client needs. Key responsibilities Collaborate with clients to understand technical requirements and goals Troubleshoot and resolve complex technical issues during deployment Support the rollout of new AI systems and ensure smooth integration Team and impact This role works closely with a group focused on bringing transformative technologies to market. Field Engineers contribute to both client success and the broader adoption of OpenAI’s products.

Role OverviewAs the AI Deployment Manager (ADM) - Pilots, you will play a pivotal role in facilitating enterprise AI pilots that are structured and time-sensitive. This customer-facing position is dedicated to guiding our clients through the evaluation of OpenAI’s innovative products in real-world settings. Your mission is to identify impactful use cases that yield actionable insights directly linked to business value.In this role, you will spearhead pilot engagements aimed at enhancing activation, encouraging sustained usage, and measuring the overall impact across platforms such as ChatGPT Enterprise and Codex. You will collaborate closely with customer stakeholders to establish success metrics, mentor users from initial testing to full implementation, and convert pilot results into strategic recommendations for potential expansion or purchase.Success in this role requires sound judgment, the capability to navigate ambiguity, and a steadfast focus on aligning technical functionalities with business objectives. You will engage regularly with both executive stakeholders and operational teams, customizing your strategies to meet customers' unique needs and drive progress.Key Responsibilities:Lead the conceptualization and implementation of enterprise AI pilots, encompassing scoping, cohort identification, and success metrics that inform commercial decisions.Identify and focus on a targeted selection of high-impact use cases that can provide significant insights within a 30–45 day pilot timeframe.Enhance activation and ongoing engagement among pilot cohorts through tailored support, Q&A sessions, and hands-on coaching.Continuously assess pilot performance and make real-time adjustments to address engagement challenges, use case effectiveness, or stakeholder alignment.Convert pilot findings into clear, executive-level recommendations regarding the potential for customer expansion.Navigate through customer limitations, including security protocols and data accessibility, while maintaining pilot progress.Work closely with Account Directors, Solutions Engineers, and customer stakeholders to align on project scope, risks, and future actions.Document insights from pilots and create repeatable playbooks that enhance qualification, execution, and successful outcomes.Ideal Candidate Profile:Possess 8+ years of experience in enterprise consulting, customer success, program management, solutions engineering, or a related customer-focused role, interfacing with executive and senior-level clients.

About Our TeamJoin our dynamic Infrastructure organization at OpenAI, where we are actively seeking talented software engineers to bolster our efforts across several high-impact teams. With a variety of focus areas available—including Core Distributed Systems, Databases, Observability, and Cloud Infrastructure—you'll have the opportunity to work on projects that fascinate you. Our teams operate with a high level of autonomy and foster a deeply collaborative environment, all dedicated to enhancing safety, reliability, and operational velocity across the organization.About the RoleAs a Software Engineer focused on Infrastructure Reliability, you will play a pivotal role in scaling and fortifying the infrastructure that supports some of the world’s most widely utilized AI systems. Your work will ensure that our systems maintain high reliability, observability, performance, and security—enabling researchers to iterate rapidly and allowing products like ChatGPT and the OpenAI API to effectively serve millions of users.This hands-on, impactful role is perfect for engineers who enjoy ownership, excel at solving complex technical challenges across the entire stack, and wish to contribute to systems that facilitate cutting-edge research deployed on a global scale. You will significantly influence technical direction, enhance system resilience, and collaborate closely with infrastructure, product, and research teams to transform intricate infrastructure into dependable platforms.Key ResponsibilitiesDesign, construct, and maintain reliable, high-performance systems utilized across engineering.Identify and resolve performance bottlenecks and inefficiencies, ensuring our infrastructure scales appropriately.Investigate and troubleshoot complex issues thoroughly.Enhance automation to minimize manual tasks and improve internal developer tools.Participate in incident response, postmortem analysis, and the development of best practices surrounding system reliability and scalability.Ideal Candidate ProfilePossess a deep understanding of distributed systems principles, with a proven track record in developing and managing scalable, reliable systems.Demonstrate a strong focus on performance and optimization, with the ability to maximize efficiency in complex, globally distributed systems.Have experience managing orchestration systems such as Kubernetes at scale and creating abstractions over cloud platforms.Be comfortable working within Linux environments and possess strong problem-solving skills.

About Our TeamAt OpenAI, we are forging a global network of cutting-edge datacenters in collaboration with our technology and capital partners to meet the challenges of the most demanding AI workloads. The Industrial Compute team is dedicated to designing, manufacturing, and deploying datacenter infrastructure systems that prioritize reliability, scalability, and performance.Our team collaborates with engineering departments, manufacturing partners, construction teams, and datacenter operations to ensure that our rack systems are efficiently built, validated, and deployed across our rapidly expanding global infrastructure.Our responsibilities encompass product definition, design validation, manufacturing readiness, and field deployment — all aimed at ensuring that our rack infrastructure meets the performance, reliability, and operational requirements of OpenAI's compute platforms.About This RoleWe are on the lookout for a skilled Rack Product Engineer to spearhead the technical development, manufacturing readiness, and lifecycle performance of rack infrastructure utilized across OpenAI's datacenters. You will serve as the engineering subject matter expert, overseeing aspects of management, testing, quality assurance, and manufacturing engineering to scale operations and maintain on-time delivery.This position operates at the intersection of hardware design, manufacturing, supplier engagement, and datacenter deployment. You will collaborate closely with compute, mechanical, power, and networking teams to define rack architectures that are manufacturable, scalable, and operationally reliable.Your role will involve partnering with contract manufacturers and suppliers to ensure that rack systems are built to specifications while also driving internal design improvements, resolving field issues, and supporting rapid deployment of infrastructure on a global scale.Travel RequirementsThis position may require domestic and international travel as needed, estimated at 30%, to manufacturing sites, supplier facilities, and datacenter deployments.

About Our TeamThe Technical Support team plays a pivotal role in empowering developers and enterprises to create mission-critical solutions utilizing OpenAI models. Our mission is to offer technical guidance, resolve intricate issues, and assist our customers in maximizing the value and adoption of our powerful models. We collaborate closely with Technical Success, Product, Engineering, and other departments to ensure our customers receive an unparalleled experience at scale. Adopting an automation-first approach, we leverage cutting-edge AI technologies to enhance our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and contribute to revolutionizing Technical Support in the AI era.About the PositionWe are in search of a Senior Support Engineer to work alongside our strategic enterprise accounts and product teams, tackling some of the most challenging problems our customers face. As a key member of the elite technical troubleshooting team at OpenAI, you will be the go-to expert for both our customers and Engineering teams when addressing complex technical issues in our environment.In this role, you will design and manage operational processes to monitor our top strategic customers and lead a 24/7 response team. Collaborating closely with our Infrastructure and Engineering teams, you will ensure that our customers enjoy the best possible experience at scale. Engaging directly with our most strategic customers, you will be instrumental in the success of the most innovative, disruptive, and large-scale AI solutions developed using the OpenAI API platform.This position is characterized by low volume but high complexity.This role is based in San Francisco, CA, with a hybrid work model requiring three days in the office each week. We also offer relocation assistance to new employees.Key ResponsibilitiesServe as one of the leading technical and troubleshooting experts for our API platform at OpenAI, acting as the final line of defense before escalation to the core Engineering team.Proactively seek and implement strategies to enhance support operations through automation and advancements in AI technologies, playing a role in shaping the future of technical support in an AI-driven landscape.Set up and utilize advanced monitoring and alerting workflows to detect customer-impacting issues in real time.Collaborate with engineering teams to contribute to reliability reviews and preparation for new features, launches, or strategic customer requirements.

About Our TeamJoin the Compute team, where we design innovative AI supercomputers. Our work spans from workload modeling to enhancing accelerator design, with a strong emphasis on system and data center co-design. We are seeking engineers who are passionate about creating cutting-edge AI supercomputer solutions for data center applications.You will collaborate with partners to optimize hardware for our workloads, identify promising new deep learning accelerators, and facilitate the transition of these hardware platforms from concept to production.If you are enthusiastic about the convergence of advanced deep learning, hardware systems, and data center design, this opportunity is perfect for you!About the RoleWe are in search of a Product Manufacturing Engineer to spearhead technical initiatives linked to manufacturing. You will play a vital role in guiding products from concept to launch and through mass production, with a particular focus on PCB and PCBa manufacturing processes. This role allows you to engage with a diverse range of stakeholders, including design engineering, operations teams, TPMs, and external industry vendors, ensuring that all products meet high-quality standards and are delivered on time.This position is based in San Francisco, CA, with a hybrid work model of three days in the office per week. We also provide relocation assistance to new employees.In this role, you will:Drive manufacturing and quality initiatives to ensure product success from concept to launch.Lead the design and manufacturing processes for next-generation AI hardware systems, collaborating with various stakeholders to guarantee that products are developed and delivered timely and to the highest quality standards.Establish NPI product manufacturing processes, systems, and quality controls, defining clear milestones and deliverables while driving internal process improvements across multiple teams and functions.Conduct hands-on product manufacturing analysis during design, development, testing, prototypes, and production phases.Research automation techniques and develop new tests and systems to enhance efficiency.Own the product manufacturing development for hardware products from L6 up to potentially L10.

About the Foundations Retrieval Team The Foundations Research group at OpenAI explores new approaches that could shape artificial intelligence for years to come. The team focuses on improving the science and data behind model training and scaling, especially for future advanced models. Areas of focus include data utilization, scaling laws, optimization strategies, model architectures, and efficiency improvements. Within Foundations, the Search team builds agentic search solutions. This group works closely with others to design interfaces between models and the core search stack, serving, indexing, and retrieval, so model intent leads to reliable, real-world results. The team develops large-scale systems to transform and index massive information sources, enabling models to reason over global knowledge. Close collaboration with researchers helps move new modeling ideas into production quickly, changing how intelligent systems discover and synthesize information at scale. Role Overview OpenAI is hiring a Software Engineer with expertise in retrieval system development and scalability for its San Francisco office. This role involves working with researchers and engineers to build infrastructure that lets models access the right information when needed. Responsibilities include designing and operating indexing systems, retrieval pipelines, and serving layers. Work in this role will directly improve retrieval capabilities across OpenAI’s research and products, with a strong influence on system performance, reliability, and scalability. What You’ll Do Develop and scale retrieval infrastructure, including indexing, serving, and query execution. Build low-latency, high-throughput systems for real-time model interactions. Work with research teams to bring embedding and retrieval methods into production. Support dense, sparse, and hybrid retrieval pipelines. Maintain system performance, reliability, and observability at scale. Collaborate with Pretraining, Inference, and Product teams to deliver end-to-end retrieval solutions. Help develop model-system interfaces for agentic workflows. Who We’re Looking For Experience building and scaling distributed systems. Background in developing high-performance, low-latency systems. Hands-on work with indexing and retrieval techniques. Familiarity with hybrid retrieval systems. Comfort working collaboratively across multiple teams.

About the TeamThe IT Systems Operations team is crucial in connecting Security, Engineering, and Employee Technology platforms, ensuring that employee-facing systems, identity workflows, and enterprise applications operate smoothly and reliably as the organization grows.In addition to implementation, the team creates structured operating patterns that guarantee platform changes, access models, integrations, and lifecycle workflows evolve safely and consistently throughout the enterprise environment.About the RoleAs an IT Solutions Engineer, you will take ownership of identity-connected enterprise SaaS platforms and system change controls to uphold OpenAI’s compliance standards. Your responsibilities will include ensuring that production configurations, access models, and platform changes are compliant, auditable, and operated through defined controls. You will manage and operationalize controlled system and workflow changes across various identity platforms, SaaS applications, collaboration tools, and enterprise infrastructure.Collaboration with Security, Platform Engineering, and IT Support Operations is essential, as you will:Ensure consistent behavior of identity and access workflows across systemsImplement structured rollout and configuration practices for enterprise applicationsEnhance visibility and traceability of system changes affecting employee workflowsTranslate operational requirements into durable automation and policy-aligned implementationsSuccess in this position requires not only strong engineering skills but also sound operational judgment, meticulous documentation practices, and effective cross-functional collaboration.In this role, you will:Enterprise SaaS & Identity Platform OwnershipManage administration and operational stewardship of enterprise SaaS and identity-connected platforms, ensuring configuration integrity, access governance, and compliance with established control requirements.Oversee onboarding, access modification, and offboarding workflows aligned to standardized entitlement models.Guarantee reliable propagation of lifecycle events across downstream systems and maintain an accurate, auditable access state.

About the TeamJoin the Applied team at OpenAI, where we are dedicated to responsibly deploying groundbreaking technology. Our products, including ChatGPT, Sora, and the OpenAI API, are transforming industries by offering advanced capabilities such as GPT-5 and a robust suite of multimodal features spanning text, image, audio, and video. We manage extensive platform infrastructure and large-scale inference systems that cater to our global user base. As we continue to innovate, our influence in the tech world expands.Our clients are leveraging our APIs to fuel rapid business growth, unlocking previously unimaginable product functionalities. With offerings like ChatGPT and Sora, we showcase the potential of our technology across diverse media experiences. As we enhance these capabilities, we remain committed to ethical practices, prioritizing responsible deployment over unregulated expansion.As a member of the Applied Engineering team, the Ads Monetization group within Financial Engineering focuses on developing core systems that manage the financial aspects of ChatGPT Ads. These systems are designed for low-latency, high scale, and exceptional reliability, all while ensuring accuracy, auditability, and transparency in financial operations. This role integrates ad delivery, data engineering, and financial systems.Key Responsibilities:Design and implement the foundational monetization systems for ChatGPT Ads.Create and manage the core services and pipelines that facilitate ads monetization from event capture and validation to pricing, metering, and generating billable outputs.Establish and maintain the definitive source of truth for ads monetization data, including schemas, data models, and invariants to ensure consistency, transparency, and auditability.Oversee accuracy and reconciliation: align production outputs with invoicing and finance requirements, develop controls and monitoring systems, and address discrepancies through investigative efforts.Engage in full-stack development to create comprehensive billing solutions for our ChatGPT and API clients.Collaborate effectively with various stakeholders, including Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.Ideal Candidate Qualifications:At least 5 years of professional software engineering experience.Proficiency in designing scalable software systems with a focus on reliability and accuracy.Strong collaborative skills to work effectively in a cross-functional team environment.Experience with financial systems and data engineering principles is a plus.

Join Our Integrity TeamAt OpenAI, our Integrity team is committed to safeguarding our innovative technologies against various adversarial threats. As we advance our platforms, we prioritize their integrity and security.We are at the forefront of defending our systems against financial exploitation, large-scale attacks, and other forms of misuse that could compromise user experience and operational stability.Your Role as a Machine Learning EngineerAs a Machine Learning Engineer in OpenAI's Applied Group, you will collaborate with some of the brightest minds in AI. Your mission will be to deploy cutting-edge models in production environments, transforming research breakthroughs into practical solutions that enhance the safety and trustworthiness of our platform. If you’re passionate about fine-tuning LLMs and developing machine learning models, this position offers you a chance to make a significant impact.Key Responsibilities:Innovate and Deploy: Design and implement advanced machine learning models that address real-world challenges. Translate OpenAI’s research from ideation to execution, crafting AI-driven applications with a measurable impact.Collaborate with Experts: Partner closely with researchers, software engineers, and product managers to tackle complex business problems and deliver AI-enhanced solutions. Be part of an energetic team where creativity flourishes.Optimize and Scale: Create scalable data pipelines, enhance model performance and accuracy, and ensure readiness for production. Contribute to projects that leverage state-of-the-art technology and innovative methodologies.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share insights, and lead by example to uphold high engineering standards.Make a Difference: Oversee and maintain deployed models to ensure they consistently deliver value. Your contributions will significantly influence the positive impact of AI on individuals, businesses, and society.

About Our TeamAt OpenAI, we are dedicated to creating safe artificial general intelligence (AGI) that benefits all of humanity. Our mission brings together some of the world's leading scientists, engineers, and business professionals in a collaborative environment focused on innovation.Our Go To Market (GTM) team plays a pivotal role in empowering customers to effectively leverage our advanced AI products across various sectors. Comprising professionals from Sales, Solutions, Support, Marketing, and Partnerships, this team collaborates to deliver valuable solutions that expand AI accessibility.About the RoleAs an Account Director within our ChatGPT Enterprise Sales team, you will work closely with educational institutions and organizations to facilitate the adoption of OpenAI’s products. Your focus will be on guiding universities and K-12 institutions in evaluating and implementing ChatGPT Enterprise for administrators, faculty, and students.You will be instrumental in driving opportunities throughout the sales cycle, from lead generation to finalizing deals. Representing OpenAI as a thought leader in AI, you will collaborate with researchers, engineers, and solution strategists to advance our customers' AI initiatives. With the recent launch of ChatGPT Enterprise (August 2023), we are eager to welcome experienced Account Directors to our team, who will help onboard new clients and expand our existing customer base.This position is based in San Francisco, New York, or Washington DC, and follows a hybrid work model requiring three days in the office each week.Key Responsibilities:Guide enterprise clients from initial consideration to purchase decision.Collaborate with Account Associates, Solutions Engineering, and Customer Success teams to execute detailed customer evaluations, demonstrations, and pilot programs.Provide weekly forecasts of your sales pipeline and targets.Continuously analyze the industry landscape to inform product development and corporate strategies.Engage with solutions, marketing, communications, and business operations teams to enhance customer experiences.

About Our TeamThe Safety Systems organization at OpenAI is dedicated to ensuring the responsible development and deployment of our most advanced AI models. We create evaluations, safeguards, and safety frameworks to ensure that our models operate as intended in real-world scenarios.The Preparedness team plays a critical role within the Safety Systems organization, guided by OpenAI’s Preparedness Framework.As frontier AI models hold the potential for significant benefits to humanity, they also present escalating risks. The Preparedness team is essential in preparing for the development of increasingly capable frontier AI models, focusing on identifying, tracking, and preparing for catastrophic risks associated with these technologies.The mission of the Preparedness team includes:Monitoring and predicting the evolving capabilities of frontier AI systems, especially regarding risks that could have catastrophic consequences.Establishing concrete procedures, infrastructure, and partnerships to mitigate these risks and safely advance the development of powerful AI systems.The Preparedness team integrates capability assessment, evaluations, internal red teaming, and mitigations for frontier models, coordinating overall AGI preparedness. This fast-paced and impactful work holds significant importance for both our organization and society.About the RoleAs frontier AI systems become more capable, they exhibit greater autonomy, the ability to pursue long-term goals, adapt to feedback, and utilize tools. While these advancements offer immense potential, they also raise the risk of models behaving in misaligned or deceptive ways, which can be difficult to supervise or contain. Addressing the risk of loss of control is a key challenge in the safe development and deployment of advanced AI systems.In your role as a Researcher focused on loss of control mitigations, you will design and implement an end-to-end mitigation strategy aimed at reducing the risk of intentionally subversive or inadequately controllable behaviors in OpenAI’s products and internal operations. This position necessitates strong technical expertise and close collaboration across functions to ensure that safeguards are enforceable, scalable, and effective. You will directly contribute to establishing robust protections as model capabilities evolve.

Join Our Innovative TeamAt OpenAI, our Go-to-Market (GTM) Partnerships team is at the forefront of creating a strategic, global network of partners that accelerates customer success and promotes enterprise AI adoption. Our mission is to drive sustainable growth in alignment with our vision for Artificial General Intelligence (AGI). We collaborate across various functions including Product, Engineering, Security, Legal, and GTM to ensure robust partner outcomes through a disciplined approach to strategy and execution.This position is a pivotal role within our Partnerships/GTM division, where you will manage a portfolio of Independent Software Vendor (ISV) and technology partnerships. Your deep collaboration with internal teams will facilitate integrations, joint go-to-market strategies, and long-lasting partnership growth.About the OpportunityWe are looking for a dynamic and experienced Partner Director, Head of Technology Partnerships, to lead and expand OpenAI's ISV and technology partner portfolio. You will be instrumental in forging strategic relationships with top-tier enterprise platforms and software providers, effectively translating shared goals into scalable integrations and go-to-market initiatives that enhance customer adoption.This leadership role requires you to serve as the primary accountable owner for a range of high-impact partnerships. You will set strategic direction, establish operational rhythms, and align both internal and partner stakeholders to achieve measurable business outcomes. Your success in this role will depend on your strong judgment, executive presence, and ability to navigate complex, cross-functional projects involving product, engineering, security, and GTM teams.Key ResponsibilitiesManage and expand a portfolio of strategic ISV and technology partnerships, ensuring partnership health, adoption, and business impact.Develop partnership strategies and priorities, including joint plans, objectives, and execution roadmaps across key partner segments.Establish and maintain a resilient operational model, incorporating governance, stakeholder alignment, escalation paths, and execution cadence.Collaborate with Product and Engineering teams to design and implement integrations that meet enterprise standards for reliability, security, and scalability.Work closely with Security, Legal, and Privacy teams to ensure trust, compliance, and commercial frameworks for collaborative work.Develop and lead joint go-to-market plans with Field and Marketing teams, including enablement, solution positioning, and coordinated execution.Monitor performance against defined metrics, identify bottlenecks, and drive continuous improvement across partnerships and programs.Represent OpenAI in discussions with senior stakeholders and partners, fostering strong relationships.

About the RoleJoin our dynamic team as a Product Designer in People Innovation Labs at OpenAI. This engineering group is dedicated to revolutionizing talent acquisition and retention while empowering everyone to excel in their work.Our mission ranges from redefining recruitment processes to enhancing workplace culture through innovative systems and products. By integrating OpenAI's advanced models and fundamental principles into our workflows, we deliver a competitive advantage to our People Team. Our initiatives include pioneering projects like OpenHouse, our internal knowledge hub, alongside AI-driven automation and scalable recruitment tools. We are shaping the future of work at OpenAI, establishing a framework for AI to enhance productivity, culture, and innovation.In this position, you will work closely with Product and Engineering teams to ensure our efforts yield measurable business results.Your Responsibilities:Shape the design and product strategy for internal People products at OpenAI.Develop and launch high-quality products and enhancements, from initial concepts to refined prototypes.Collaborate with engineering, product management, AI research, and design colleagues to define both long-term vision and immediate goals.Conduct user research to gain insights into user needs and improve our products.Contribute to the ongoing evolution of our design system.Foster our design culture and support team growth.Ideal Candidate:Possesses 4+ years of experience delivering large-scale software products.Demonstrates a portfolio that highlights exceptional UX, UI, and interaction design skills with a commitment to quality.Enjoys unraveling complex interaction design challenges.Exhibits strong communication and storytelling capabilities.Thrives in ambiguous situations, transforming challenges into clear visions.Is enthusiastic about immersing in the AI research process to define the design and functionality of AI-first products.

About Our TeamThe Safety Systems team at OpenAI oversees the entire lifecycle of safety measures for our cutting-edge models, ensuring responsible deployment that positively influences society. Our diverse work encompasses a range of research and engineering initiatives, including system-level safeguards, model training, evaluation, and red-teaming, all aimed at reducing misuse and misalignment while maintaining our stringent safety standards. We are committed to developing and deploying safe Artificial General Intelligence (AGI), nurturing a culture grounded in trust, responsibility, and transparency.We strive to learn continuously from our deployments, democratize the benefits of AI, and guarantee that our powerful tools align with human values and safety standards.About the RoleWe are seeking a dedicated Product Manager specializing in biosecurity risk. In this pivotal role, you will spearhead initiatives that ensure the safety, impact, and alignment of OpenAI’s frontier model deployments with user needs and technological advancements. You will establish strategic priorities, craft safety-oriented product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. Additionally, you will devise strategies to enhance the ecosystem, empowering others to stay ahead of adversaries. This position is ideal for a proactive and technically proficient product manager with a knack for adversarial thinking and a passion for solving complex, ambiguous challenges through structured analysis and collaborative decision-making.This role is located in San Francisco, CA, and relocation assistance is available.In this role, you will:Collaborate closely with research, engineering, data science, and policy teams, along with other stakeholders, to integrate safety throughout the development and deployment of frontier AI models.Create robust frameworks for identifying and mitigating deployment safety risks, utilizing data analysis, expert consultations, and adversarial assessments.Set strategic priorities and product roadmaps aimed at enhancing deployment safety, improving reliability, and managing new AI capabilities.Develop scalable methodologies, tools, and processes for evaluating, refining, and continuously enhancing our safety systems.Establish repeatable processes to weave cutting-edge AI safety research into OpenAI’s models and product offerings.Create and regularly refine clear, actionable metrics that effectively capture safety performance and inform decision-making.