Full Stack Software Engineer at OpenAI Edu | San Francisco

Role Overview OpenAI Edu is hiring a Full Stack Software Engineer in San Francisco. This role centers on building educational tools and platforms, contributing to both the front end and back end of new products. What You Will Do Design and develop features across the stack, from user interfaces to server-side logic. Collaborate closely with engineers to deliver reliable, high-quality software. Apply knowledge of multiple programming languages and frameworks to support project needs. Troubleshoot and resolve technical issues to improve system performance and functionality. Location This position is based in San Francisco.

About the TeamThe ChatGPT Enterprise team at OpenAI operates within the B2B Applications organization, dedicated to tailoring ChatGPT for large-scale business applications. Our mission is to create an effortless experience that allows users to access the same product for personal and professional use, while addressing the specific needs of enterprises, including robust security protocols, administrative controls, regulatory compliance (e.g., HIPAA/FINRA), and geographic data residency requirements. Our roadmap encompasses three primary workstreams: enterprise controls, user engagement & activation, and tailored company-specific products (e.g., Company Knowledge).About the RoleWe are seeking talented full stack engineers to enhance the product experience for ChatGPT, ensuring it becomes an essential tool for teams. This position emphasizes user benefit and activation: crafting collaborative experiences, onboarding methods, and engagement strategies that empower employees to discover and utilize advanced functionalities, such as agents and customized GPT-like workflows.In this role, you will:Develop comprehensive features across frontend, backend-for-frontend, and service layers to enhance team collaboration and work sharing within ChatGPT.Design and implement activation and engagement systems (e.g., product hooks, discovery interfaces, and user rollout processes) to increase adoption among various user groups within an organization.Collaborate cross-functionally with engineers focused on enterprise controls (security, permissions, compliance, data residency) and company knowledge/search to ensure features are launched with appropriate safeguards and enterprise readiness.Work closely with adjacent teams (including API and agent initiatives) to seamlessly integrate agent functionalities into the ChatGPT user interface, ensuring a native, secure, and scalable experience for business applications.

About the RoleJoin us as we revolutionize the application of AI with ChatGPT, aimed at unlocking economic opportunities on a grand scale. This is a rare opportunity to operate at the cutting edge of AI, working on an innovative platform that integrates agents, search/matching algorithms, personalization, user experience (UX), and tangible economic impact. You will help develop AI solutions that significantly enhance people's lives.As millions rely on ChatGPT for career guidance, we are challenging the outdated approaches of static résumés and keyword searches. We are creating a distinct career agent that comprehensively understands skills, assists in certification, and tirelessly seeks to create opportunities. Our vision is to establish a network where job seekers and employers connect based on actual capabilities rather than traditional job postings.In this role, you will:Lead the development of key product areas to create a next-generation AI-driven jobs platform.Design and implement essential systems for candidate matching, verification, skills representation, and workflow automation.Collaborate with research teams to translate new model capabilities into production features that enable users to validate their skills and discover exceptional opportunities.Develop robust, scalable systems that cater to millions of job seekers and employers.Conduct experiments, engage with users, and iterate swiftly to uncover what truly drives successful job outcomes.Work closely with product managers, designers, researchers, and operations to craft AI-enhanced, user-centered experiences.Optimize for performance, reliability, and security to ensure a trustworthy platform fostering economic mobility.You may be a great fit if you possess:A minimum of 5 years of software engineering experience, particularly in developing highly-available user-facing products.Proficiency in full stack development (frontend and backend) and a comfort level with owning features from inception to deployment.A passion for marketplaces, matching systems, or personalization, even if you have not previously built one.Interest in AI-driven user experiences, agents, and workflow automation (direct machine learning experience is not mandatory).Enthusiasm for thriving in a dynamic, fast-paced environment where innovative ideas are rapidly implemented and user impact is prioritized.About OpenAIOpenAI is at the forefront of AI research and development, dedicated to advancing digital intelligence in a way that is safe and beneficial for humanity. We strive to ensure that our cutting-edge technologies are aligned with human values and contribute positively to society.

About Our TeamAt OpenAI, our Full Stack Engineers are integral to delivering innovative solutions that seamlessly integrate front-end experiences with robust back-end systems. We are expanding our teams across various domains, including Growth, Ecosystems, Personalization, Search Infrastructure, and Platform Engineering, to create user-centric features and foundational services that enhance our offerings.About the RoleWe are seeking passionate Full Stack Software Engineers who thrive at the intersection of front-end and back-end development. In this role, you will:Develop comprehensive web applications and platform features that elevate ChatGPT experiences.Collaborate closely with designers, product managers, and infrastructure teams to deliver cohesive solutions.Design and implement robust APIs, scalable services, and intuitive UI components.Maintain the integrity, security, and performance of the systems you create.Contribute to team best practices in testing, architecture, and the Software Development Life Cycle (SDLC).You May Be a Great Fit If YouPossess experience with both front-end technologies (e.g., React, TypeScript) and back-end frameworks (e.g., Node.js, Python, Go).Are comfortable taking ownership of features from initial design through to deployment.Value high-quality code and exceptional user experiences.We are open to hiring in San Francisco, New York, and Seattle.

About the TeamJoin the dynamic ChatGPT team at OpenAI, where innovation meets collaboration across research, engineering, product development, and design. We are dedicated to deploying cutting-edge technology responsibly and safely, ensuring that the benefits of AI are available to everyone, regardless of location or platform. Our mission is to enhance lives through AI, driven by deep insights into user interactions with our products.About the RoleWe are on the lookout for a talented Full Stack Software Engineer to join our burgeoning ChatGPT Growth team. You will lead impactful projects aimed at expanding the user base of ChatGPT and Plus Subscribers. Your responsibilities will include optimizing user access, enhancing notifications, refining SEO practices, promoting value discovery, and driving virality. As we embark on our growth journey, your insights will be crucial in identifying key opportunities for strategic initiatives and incremental improvements. We seek engineers who are driven by impact, thrive in autonomy, and possess a keen ability to extract valuable insights from experimental data to enhance user experiences.Key Responsibilities:Catalyze the long-term growth of ChatGPT by leveraging data analysis, product innovation, and experimentation to refine product experiences.Design and implement robust backend APIs to support enhanced product functionalities.Collaborate closely with cross-functional teams including research, product, design, and data science to ensure alignment with product goals.Foster a diverse and inclusive workplace culture that encourages open communication and challenges conventional thinking.Ideal Candidate Profile:Demonstrated experience shipping web features that optimize user journeys, including landing pages, product interfaces, and purchase flows.Strong analytical skills with a proven track record in designing and executing A/B tests, employing a scientific approach to data-driven experimentation.A passionate learner who actively seeks out knowledge and effectively shares insights with team members.Comfortable navigating ambiguity and adapting to rapidly evolving project landscapes.

About Our TeamThe Revenue Platform team is pivotal in enhancing customer experience, ensuring financial accuracy, and delivering enterprise-level reliability. We develop both user-facing experiences and the robust platform capabilities that enable invoicing, billing, payments, and revenue recognition across OpenAI. Our efforts encompass high-impact customer interfaces and foundational platform components leveraged by various teams. These systems are integral to supporting OpenAI's sustained growth, and we seek engineers who are passionate about quality, precision, and creating scalable platforms that foster a delightful development experience.At OpenAI, our mission is to ensure that artificial general intelligence serves the betterment of humanity. Realizing this vision necessitates not only exceptional models but also a trusted, top-tier commercial platform. The Revenue Platform team empowers organizations to confidently adopt, scale, and manage their use of OpenAI products through reliable and extensible financial infrastructure and shared services that bolster the overall ecosystem.We are in search of a full-stack engineer to oversee critical revenue workflows and the platform abstractions that underpin them. You will engage with APIs, data models, shared services, and user interfaces to tackle challenging problems related to scalability, accuracy, and usability. By collaborating closely with Product, Finance, Sales, Operations, and other engineering teams, you will translate complex business requirements into robust platform capabilities, enhancing engineering quality and developer experience as our products and enterprise presence expand.Role OverviewAs a Full Stack Engineer on the Revenue Platform team, your responsibilities will include designing, building, and maintaining platform services and user-facing interfaces that are crucial to OpenAI’s commercial operations. You will partner with product management, design, finance, and engineering teams to create seamless customer experiences, while also establishing shared foundations that enable other teams to build efficiently and safely. Your contributions will be vital in shaping the reliability, scalability, and integrity of OpenAI’s essential financial workflows.Key Responsibilities:Develop and enhance shared full-stack platform components, including APIs, data models, services, and UI elements that facilitate billing, subscriptions, usage-based pricing, and enterprise entitlements across OpenAI.Design scalable and reusable revenue workflows and abstractions that allow other product teams to introduce new offerings without duplicating core billing logic.Collaborate with cross-functional teams to refine user interfaces and optimize the overall user experience.

About Our TeamThe Knowledge Innovation team is at the forefront of scaling OpenAI's capabilities. We are developing an AI-driven knowledge ecosystem that adapts and evolves alongside our products, systems, and client needs. Our cutting-edge models and technologies—some of which are still under development—enable us to automate and enhance robust operations for both internal and external stakeholders. We take pride in supporting OpenAI's global clientele, driving systems from customer support to product insights. As a tightly-knit, multi-disciplinary team, we thrive on rapid feedback loops with our customers, allowing us to iterate swiftly while ensuring long-term reliability and impact. We continuously seek similarities and patterns across diverse work types, focusing on creating simple, effective primitives to apply world-class knowledge across various domains.Our team's work exemplifies the power of OpenAI technologies. We design systems that showcase the transformative potential of well-implemented AI solutions. By exploring internal use cases that focus on knowledge systems, automation, and agent systems, we validate our impact and scale our solutions.About the RoleWe are on the lookout for Full Stack Engineers who are enthusiastic about merging production-ready platform architecture with innovative technologies and paradigms. In this role, you will leverage OpenAI's latest technologies to create interactions and automations that are not only effective but also enjoyable for users. We value proactive, customer-focused engineers who pay close attention to foundational details (data models, architecture, security) in order to foster the development of exceptional products. Your Responsibilities Will Include:Managing the complete development lifecycle for new platform capabilities and their integration with other systems.Collaborating closely with engineers, data scientists, information systems architects, and internal customers to understand their challenges and implement effective solutions.Working with product and research teams to provide pertinent feedback and iterate on the application of their latest models.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence benefits all of humanity. We are dedicated to pushing the boundaries of AI capabilities while deploying them safely through our innovative products. AI is a formidable tool that must be developed with a focus on safety and human values, and we strive to lead the way in this vital endeavor.

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 the TeamThe Applied team is dedicated to responsibly introducing OpenAI's groundbreaking technology to the global community. We have launched revolutionary products like ChatGPT, Plugins, DALL·E, and APIs for GPT-5, embeddings, and fine-tuning. Additionally, we manage extensive inference infrastructure to support our rapidly advancing initiatives.Our clients leverage our APIs to create dynamic businesses with innovative product features previously thought impossible. For instance, ChatGPT exemplifies the capabilities our technology currently offers. We prioritize the responsible use of our powerful tools, ensuring that safety remains paramount over unrestricted growth.The Fraud Engineering team operates within the Applied Engineering organization, focusing on identifying and mitigating fraudulent activities on our platform. We are seeking a software engineer with expertise in anti-fraud and abuse systems to help us design and implement next-generation solutions.About the RoleThe Scaled Abuse team safeguards OpenAI’s products and users by detecting, preventing, and addressing fraudulent and abusive activities on a large scale. We develop and maintain backend and data systems that facilitate real-time detection, investigative workflows, and enforcement, ensuring a balance between robust protection and an excellent user experience as our platform evolves.Our work lies at the convergence of engineering and abuse prevention expertise. We collaborate closely with Trust & Safety, Security, and Product teams to identify emerging attack trends, translate complex signals into actionable system behavior, and continuously enhance our defenses. We value engineers who can navigate unfamiliar codebases swiftly, develop a deep understanding of system functionality, and suggest practical improvements to enhance overall resilience.In This Role, You Will:Design and develop systems for fraud detection and remediation, balancing fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent and abusive behaviors on our platform.Stay updated with the latest techniques and tools to remain ahead of determined adversaries.Utilize GPT-5 and future models to enhance our fraud and abuse mitigation efforts.You May Thrive in This Role If You:Possess at least 5 years of software engineering experience, particularly in backend and data systems.

About the RoleJoin the Engineering Acceleration Delivery / Continuous Deployment team at OpenAI, where we develop and maintain systems designed to securely deploy OpenAI’s infrastructure and product code into production.Our team is responsible for the deployment platform, release pipelines, and safety mechanisms that empower engineers across OpenAI to make rapid changes while minimizing operational risks. Our goal is to streamline production deployments, enhancing speed, safety, and autonomy.This position is a unique opportunity to work at the convergence of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.In This Role, You WillArchitect and implement continuous deployment infrastructure that efficiently manages changes across multiple Kubernetes clusters and global regions.Create systems for progressive delivery, incorporating techniques like canary releases, staged rollouts, and automated rollback processes.Enhance engineering velocity by reducing friction within the release pipeline and automating operational workflows.Collaborate with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.Refine and adopt deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.Develop systems that automatically assess deployment health through metrics, logs, traces, and alerts to identify regressions and initiate safe rollbacks.Create systems that facilitate agent-assisted or fully autonomous deployment workflows using cutting-edge AI tools.Technologies you will work with include:Kubernetes for large-scale container orchestration and runtime infrastructurePython and FastAPI for internal servicesTerraform for infrastructure as codeGitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)Buildkite for CI orchestration

About Our TeamAt OpenAI, we are committed to ensuring that Artificial General Intelligence (AGI) benefits everyone globally. Our mission can only be fulfilled if AGI translates into tangible advantages across diverse industries. Within our B2B Applications team, we strive to assist businesses, enterprises, and governments in redefining their operations to empower individuals and accelerate economic progress.We design and maintain products that leverage our pioneering research to serve millions of companies and developers worldwide. Our technology underpins the OpenAI API and enterprise solutions, enabling users to enhance their productivity and efficiency. Our collaborative teams encompass product engineering, backend infrastructure, and safety, all working in unison to ensure that OpenAI’s technology is delivered reliably, securely, and with an exceptional user experience.Role OverviewWe are seeking talented full stack engineers to architect and scale the systems powering our developer and enterprise products. In this position, you will explore the forefront of OpenAI’s latest technologies, facilitating interactions and automations that are not only functional but also engaging. We value proactive and product-oriented engineers who can maintain a holistic perspective while attending to the intricate details that create outstanding products.Key Responsibilities:Lead the complete development lifecycle for innovative enterprise products.Work collaboratively with product managers, designers, and external clients to identify challenges and devise effective solutions.Partner with the research team to enhance our next-generation models.Ideal Candidate Profile:5+ years of professional engineering experience in relevant roles at technology and product-focused organizations.Experience as a founder or early engineer at a startup, with a background in building products from the ground up is a bonus.Strong proficiency in TypeScript, React, and other web technologies.Proficient in one or more backend programming languages (e.g., Python, Go, Rust, TypeScript) and familiar with distributed systems concepts.Experience with relational databases such as PostgreSQL or MySQL.A strong commitment to reliability, safety, and performance in production environments.An interest in AI/ML, though direct experience is not mandatory.Proven ability to flourish in a fast-paced, evolving environment.

About the Applied Foundations Team The Applied Foundations group at OpenAI focuses on protecting our technology from adversarial threats as our platforms grow. This team builds the core infrastructure that helps prevent financial abuse, large-scale attacks, and other forms of misuse that could impact user experience or disrupt operations. Role Overview OpenAI aims to advance AI in a way that is safe, reliable, and aligned with society’s values. As a Full Stack Software Engineer on the Integrity Foundations team in San Francisco, you will help maintain the trustworthiness of our platforms. Your work will involve building defenses against adversarial behaviors and ensuring our ecosystem remains secure. This role collaborates closely with engineering and cross-functional partners to design and implement systems that detect and prevent abuse, enhance user safety, and reduce risks. You will help lead efforts to ensure AI is used responsibly and sustainably. What You Will Do Design APIs for internal workflows that interact with all layers of the stack, supporting informed data model decisions. Build and integrate tools that enable internal teams to investigate safety, abuse, and risk issues, with a focus on strong access controls, auditability, and operational rigor. Work with teams across the company to develop solutions that guard against adversarial attacks while maintaining a positive user experience. Help respond to live incidents on the platform and create new infrastructure to address underlying problems. What We Look For Interest in building high-quality internal tools and a genuine concern for end-users. At least 3 years of professional software engineering experience. Ability to collaborate effectively, including with partners outside engineering. Humility, sound judgment, and a drive for continuous improvement.

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 Our TeamJoin the GTM (Go-To-Market) Innovation team, a dynamic and transformative group at OpenAI, dedicated to revolutionizing customer engagement through innovative applications of cutting-edge technology. As a critical component of our organization, we enhance the effectiveness of Sales, Technical Success, Enablement, and Revenue Operations by deploying our advanced technology on a large scale. Our team leverages sophisticated capabilities to redefine customer interactions, learning from each engagement to demonstrate the profound value of our technology.About the RoleWe are actively seeking Full Stack Software Engineers with a product-oriented mindset to enhance our GTM Innovation team.As a product-focused engineer, you will play a pivotal role in helping OpenAI scale its impact globally. You will collaborate closely with go-to-market teams to gain insights into their workflows, identify leverage points, and develop innovative solutions utilizing OpenAI’s API platform.Your ability to transition seamlessly from prototype to production will be crucial, as your contributions will directly influence customer experiences with our technology in real-world scenarios. This role is particularly suited for engineers eager to engage with users, take ownership of end-to-end outcomes, and contribute to the creation of entirely new categories within enterprise software.In this role, you will:Develop impactful applications and tools that accelerate OpenAI’s go-to-market strategies.Engage throughout the entire product lifecycle for GTM: from prototyping and iterating to shipping and maintaining.Collaborate with Sales, Technical Success, and Revenue Operations to uncover user needs and build tailored solutions.Utilize OpenAI’s models in creative ways to address real-world challenges faced by customers and internal workflows.Translate insights and feedback into actionable recommendations for Applied and Research teams to enhance product development.You will excel in this role if you possess:A minimum of 4 years of experience as a software/ML/product engineer, specifically working on user-facing systems.Experience as a founder or an early engineer at a startup, particularly if you have built a product from the ground up.Proficiency in Python or JavaScript and a strong ability to develop full-stack applications.Experience in building or prototyping LLM-powered workflows using the OpenAI API or similar technologies.A proactive approach, with a knack for swift execution and a strong sense of ownership and accountability.

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.

About Our TeamJoin our dynamic Social Products team at OpenAI, where we strive to reimagine and innovate social media experiences. Our mission is to harness the power of AI to transform social platforms into positive and engaging environments.About the PositionAs a Full-Stack Software Engineer on the Social Products team, you will play a pivotal role in conceptualizing, prototyping, and launching groundbreaking social experiences within the OpenAI ecosystem. Our team is driven by a robust product-oriented mindset, quickly transitioning from ideation to experimentation and iteration, with a willingness to pivot and rebuild based on insights gained throughout the process.You will engage in full-stack development—crafting both frontend and backend functionalities, managing data processing, and collaborating closely with designers and product stakeholders—to create social product surfaces that enhance discovery, connectivity, and virality. This encompasses building production systems on our high-performance internal platforms that support ChatGPT and the OpenAI API, as well as designing new systems as the need arises.We seek engineers who excel in agile, collaborative environments, bring innovative product concepts to the table, and possess the ability to execute with precision and sound judgment. You should be adept at navigating ambiguity, drawing lessons from experiments, and leveraging those insights to refine both product trajectories and technical frameworks.Key Responsibilities:Rapidly prototype and iterate on new social product features, investigating how AI can foster connection, creativity, and communal experiences.Transform ideas into working prototypes and release code frequently, incorporating real-world feedback to inform ongoing development.Scale the most promising concepts from prototype to production using OpenAI’s internal platforms, creating new systems as required.Work across the stack to build social product features from initial experiments through to launch.Collaborate closely with interdisciplinary teams including research, product, design, data science, and engineering to make a significant impact.Learn from and contribute alongside experienced engineers while fostering a culture of trust, inclusivity, and open communication.You May Excel in This Role If You:Possess 3+ years of professional software engineering experience.Have successfully built and deployed full-stack applications from concept to traction in fast-paced, startup-like environments.Exhibit a strong understanding of both frontend and backend technologies and enjoy tackling complex problems.

About Our TeamThe ChatGPT team is at the forefront of innovation, blending research, engineering, product design, and user experience to extend OpenAI’s groundbreaking technology to users worldwide.As part of the Growth Partnerships team, our mission is to broaden reach, discover new channels for user acquisition, and create impactful integrations that bring ChatGPT to users wherever they are. We collaborate closely with external partners and internal teams to craft product experiences, APIs, and growth strategies that promote adoption while ensuring trust and safety are paramount.Our work is interdisciplinary, combining product development, engineering excellence, and business acumen to turn partnerships into sustainable growth engines for ChatGPT.About the RoleWe are in search of a skilled Full Stack Engineer to join our ChatGPT Growth Partnerships team. This role is pivotal in establishing the technical infrastructure that supports partner-driven growth. You will be responsible for developing comprehensive product experiences that encompass frontend applications, backend services, APIs, experimentation, and data analytics, all aimed at facilitating seamless integrations, onboarding, user activation, and monetization through our partners.This high-impact position is perfect for engineers who excel in dynamic, fast-paced environments, can take projects from conception to deployment, make informed product and technical decisions, and deliver results swiftly while adhering to high engineering standards.Key ResponsibilitiesDesign and implement full-stack product experiences that support partner integrations, onboarding processes, activation pathways, and growth opportunities.Create and maintain backend services and APIs to ensure scalable and secure partner interactions.Collaborate with product managers, partnership leads, designers, data scientists, and researchers to translate strategic objectives into tangible products.Lead experimentation initiatives, including A/B testing and metrics development, to analyze factors that drive user adoption, retention, and value through partnerships.Identify key leverage points where small technical enhancements can create significant growth opportunities.Establish best practices for building scalable and partner-friendly systems.Foster a culture of ownership, transparency, inclusivity, and constructive dialogue within the engineering team.You Will Excel in This Role If YouHave a proven track record of delivering full-stack features that drive user acquisition, activation, or monetization.Thrive in a collaborative environment where innovative ideas are welcomed and encouraged.Possess a knack for problem-solving and a passion for creating impactful user experiences.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

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.

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.