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About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. 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 deliver full-stack web applications and integrations that support go to market workflows Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: 5+ years of professional software engineering experience, excluding internships, on product-driven teams. Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. About OpenAI OpenAI is an AI research and deplo

About the Team The Codex App team builds and maintains the Codex desktop app and IDE extension — the primary ways developers interact with Codex. Our goal is to make AI feel like a real software engineering teammate inside real workflows: editing code, running tasks, reviewing changes, and coordinating long-running work. We sit at the intersection of research, product, and design. We ship quickly, learn from real usage, and continuously refine both the experience and the harness that connects users to the model. About the Role We’re hiring a Frontend Software Engineer to build a top-tier desktop experience and push forward the interface for working with agents. This is a craft-heavy role: you’ll partner closely with design to prototype, iterate, and polish new interaction models — then turn them into reliable, high-performance product. You’ll help define what great looks like for “human ↔ agent” collaboration: what belongs in the UI, how state is represented, how progress and uncertainty are communicated, and how users stay oriented across long-running and multi-step work. What You’ll Do Build and ship polished, high-performance UI across the Codex desktop app and IDE extension. Partner tightly with design to turn prototypes into production-quality experiences (layout, motion, typography, interaction details). Iterate on future interfaces for interacting with agents: delegation, task timelines, status/progress, handoffs, review, and control surfaces. Own frontend architecture decisions (component systems, state management, navigation, rendering performance). Improve quality and reliability through testing, instrumentation, and thoughtful UX for failure modes. Collaborate with platform/model/backend partners to integrate new capabilities into cohesive product flows. You Might Thrive Here If You Have strong experience with modern frontend stacks (React, TypeScript) and a high bar for UI craft. Love design engineering: sweating the details while keeping velocity. Have

About the Team The ChatGPT Space team is rethinking what work looks like when teams and agents can create together. We are building a shared workspace where a rough idea can become a polished, editable artifact, from Pages, Sheets, and Slides to entirely new kinds of work products. Our ambition is to build the best place for teams and agents to turn ideas into things they could not make alone. The work should keep evolving after the first draft, drawing on shared context, improving through collaboration, and staying current as a project moves forward. This is a high-agency team working across product, design, and research. We partner closely with model training teams to shape how frontier models create and edit artifacts, then bring those capabilities into a coherent experience across Pages, files, and tools. The work spans full-stack product engineering, editing and rendering systems, model integration, and collaboration, with a high bar for taste, correctness, and speed. About the Role As Engineering Manager, ChatGPT Space, you will lead and grow the product engineering team defining this experience. You will help shape both the product and the team that builds it, turning an ambitious, evolving vision into software people love to use. You will partner with product and design on what great collaboration between teams and agents should feel like, with research on what models can create, and with infrastructure and enterprise partners on a dependable experience at scale. This is a role for a leader who has built from zero to one and wants to help define a new category of work. You will bring the technical depth to guide hard decisions and the product judgment to know what is worth building, while developing engineers and giving them the clarity and autonomy to ship. This role is based in San Francisco. In this role, you will Lead, manage, and grow a product engineering team, creating clear ownership, supporting engineers’ development, and hiring exceptional people P

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com . Yext is looking for a technically capable, commercially aware individual to join the Demo Engineering team as a Demo Engineer . This is a mid-level role designed for someone who has built solid hands-on experience — whether as an Associate Demo Engineer or in a client-facing delivery role supporting sales, pre-sales, or product teams — and is ready to take on greater ownership, craft more sophisticated demo assets, and begin influencing how the team operates. The Demo Engineering team supports a wide range of internal partners — including Revenue (Sales and Solutions Engineering), Client Services, Marketing, and Product — by creating everything from polished standard demo environments to visionary "art of the possible" solutions that showcase what the Yext platform can do. As a Demo Engineer, you'll move from supported delivery to leading your own workstreams, mentoring Associates, and contributing meaningfully to the team's standards and capability. This role is based in India and is a core part of a globally connected Demo Engineering function, working closely with Solutions Engineers, Account Executives, and stakeholders across the Yext business. What You’ll Do Owning Demo Asset Creation, Development & Deliverables Own and

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. Partner with machine learning engineers to bring new classification capabili

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Field Executive Architect, you will serve as Anthropic's senior technical voice with our most strategic customers. You'll engage directly with C-suite executives and senior technical leaders at the world's largest enterprises to understand their business, align stakeholders around a clear vision for how AI fits into their strategy, and create momentum toward adoption of Anthropic's products. This is not a hands-on-keyboard engineering role. Your job is to walk into a room full of executives, quickly understand their business and technical landscape, and help them see a clear path forward with Claude. You'll then partner with Sales and Applied AI teams to ensure that vision translates into execution -- checking in on high-momentum accounts, maintaining executive relationships, and keeping deals on track. Internally, you'll serve as a sponsor for enterprise customer needs, working with Product to ensure that what matters most to our largest accounts is heard and prioritized. You'll bring deep experience in enterprise technology and a track record of operating at the intersection of business strategy and technical execution. Whether you've been a CTO, VP of Engineering, Field CTO, or a world-class senior technical salesperson, what matters is that you've seen how large organizations make technology decisions and can meet executives where they are -- with credibility, clarity, and conviction. Responsibilities: Engage directly with C-suite and senior technical leaders at Anthropic's largest and most strategic accounts, aligning business and technical stakeholders around a clear vision for AI adoption Prepare for and le

About the Team The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production. ChatGPT development depends on a long chain: local environments, Bazel builds, CI, tests, merges, release candidates, deploys, synthetics, alerts, and production health. When any link is slow, flaky, or unclear, engineers lose hours, fixes reach users later, and on-call load rises. This team turns that cross-cutting drag into owned, measured, and durable improvements. About the Role We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production. This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems. In this role, you will: Reduce local development startup and iteration latency for ChatGPT engineers Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations. Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns. Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing

About the Team The Search Product Infrastructure team builds the systems that power search experiences across ChatGPT. We partner with teams developing models, operating inference infrastructure, building specialized search experiences, and maintaining search indexes to bring advances in models and retrieval into production. Our work spans search orchestration, model serving, experimentation, and distributed systems, with direct impact on answer quality, responsiveness, reliability, and efficiency at ChatGPT scale. About the Role As a senior engineer on the Search Product Infrastructure team, you will design, build, and operate the systems that connect models with search at ChatGPT scale. You will tackle challenges in search orchestration, inference efficiency, experimentation, and production reliability, making tradeoffs that directly shape answer quality and user experience. Working closely with researchers and partner engineering teams, you will own projects from technical design through launch and iteration, evolving the architecture as models, product capabilities, and demand grow. 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 evolve the services that coordinate search classification, retrieval, ranking, and model inference, working closely with researchers and partner engineering teams to bring new capabilities into production. Improve end-to-end latency, throughput, and infrastructure efficiency through profiling, caching, request routing, and capacity planning, making informed tradeoffs between search quality, reliability, and compute cost. Build experimentation tooling and automation to run reproducible A/B tests, define success metrics, and measure product impact. Use shadow traffic and load testing to validate system behavior, estimate capacity needs, and support safe production rollouts. Own production reliability th

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers to evolve the payments, billing, and subscription capabilities that support OpenAI’s growing product portfolio. You’ll tackle problems where correctness, reliability, and flexibility are essential: supporting new billing requirements, managing the billing lifecycle, synchronizing state across internal systems and external providers, and enabling new products and commercial models. Your work may span several areas based on your expertise and team priorities: Billing and monetization capabilities: Extend billing capabilities and improve integrations and state consistency across systems to support new products and business models. Subscriptions: Orchestrate purchases, renewals, plan changes, cancellations, and recovery, ensuring customers are charged correctly and receive the right benefits. Payments: Expand payment capabilities through processor integrations, routing, and broader payment-method coverage. Risk and integrity: Partner with risk and integrity teams to integrate controls into purchasing flows, reducing abuse while protecting legitimate customer experiences. You’ll help set technical direction while remaining hands-on in implementation and delivery. This is an opportunity to solve complex engineering problems at scale, connect architecture decisions to customer and business outcomes, and help other engineers take on broader ow

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers with deep iOS or Android expertise and demonstrated experience contributing beyond mobile to frontend web or backend development. You’ll shape and build purchasing and subscription experiences across mobile applications, web, and supporting product APIs. The work spans improving conversion, performance, and reliability, building reusable components, and enabling new product launches. You’ll combine product judgment with technical depth to set direction, lead initiatives across teams, and remain hands-on through implementation and delivery. Approximately 50% of the work will initially be native mobile development, with the remainder across web and product APIs. We’re looking for engineers who enjoy working across the stack and have concrete examples of doing so professionally. Depth in either iOS or Android is required; experience in both is not required. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing and subscription experiences across native mobile, mobile web, and supporting product APIs. Partner with Product, Design, and Growth to identify customer needs, prioritize improvements, and shape technical direction for purchasing experiences. Improve conversion, performance, and reliability through experimentation, product analytics, and customer insights

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. Partner with Product, Design, Growth, and Data Science to

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach businesses with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the small and medium business lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning businesses reach value and build durable habits. This role is based in San Francisco, Seattle, or New York City. 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 with B2B product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident

About the Team The Technology Vertical team builds within Core Products. The team’s mission is to transform every major function in a technology company with AI to drive higher economic output, while people remain owners of the outcomes: setting intent, applying judgment and craft, directing iteration, and owning the result. About the Role As a Product Manager on the Technology Vertical team, you will shape how knowledge workers use AI in their daily work. You’ll craft enterprise products at the intersection of novel research capabilities and genuine enterprise needs, driving the full feedback loop from research, to product, to OpenAI’s own enterprise functions, to the broader Technology Vertical. 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. In this role, you will: Own the product roadmap for a line of business within tech verticals, using OpenAI’s organization to test, refine, and scale new workflows. Develop the ecosystem strategy across technology partners in your line of business You might thrive in this role if you: Have built enterprise products for non-developer knowledge workers and understand the needs of both individual contributors and organizational buyers. Can turn complex workflows, integrations, and permission requirements into clear product decisions. Are comfortable developing a strategy while working closely with engineers, customers, and cross-functional partners to ship and learn. Bring strong judgment about which vertical-specific needs should become reusable capabilities across a broader product. 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

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 7+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap