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  • Software Engineer, Codex Core Agents  

    - London
    About the TeamThe Codex Core Agent team builds the kernel of Codex. We... Read More
    About the Team
    The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time.About the Role
    We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale.You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on.What You’ll DoDesign and build execution environments for AI agents, including sandboxing, isolation, and reproducibility.Develop systems for agent orchestration across multi-step, tool-using workflows.Build infrastructure for running, testing, and debugging code generated by models.Create state and memory systems that allow agents to persist context across long-running tasks.Optimize tokens, latency, reliability, and cost across Codex’s production fleet.Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale.Build shared platform capabilities that unblock product teams, partner teams, and open source Codex.You Might Be a Good Fit If YouHave strong experience in distributed systems or infrastructure engineering.Have built systems involving containers, sandboxing, or virtualization.Are comfortable working across backend systems, APIs, and developer tooling.Care deeply about system reliability, performance, and security.Enjoy working on ambiguous, zero-to-one problems.Want to help build the systems that turn model capability into a dependable software engineering agent.Bonus PointsExperience with code execution platforms, CI/CD systems, or build systems.Familiarity with LLMs, agents, or tool-use frameworks.Background in security engineering or isolation systems.Experience building developer platforms, IDE tooling, or open source infrastructure. Read Less
  • Solutions Engineer, Large Enterprise  

    - London
    About the TeamThe Technical Success team is responsible for ensuring t... Read More
    About the TeamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the RoleWe are seeking an experienced pre-sales solutions engineer to partner with our Large Enterprise customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams.
    This role is based in our London office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.You’ll thrive in this role if you:Have 5+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations.Have full professional fluency in English.Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.Have industry experience in programming languages like Python or Javascript and working with REST APIs.Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Read Less
  • Engineering Manager ChatGPT Infra  

    - London
    About the RoleWe’re looking for an experienced Engineering Manager to... Read More
    About the RoleWe’re looking for an experienced Engineering Manager to found and lead the ChatGPT Infrastructure team in London.You’ll lead a small, talent-dense, high-impact team building the core runtime primitives and infrastructure that underpin how new ChatGPT experiences are built and scaled.This is a high-ownership, 0→1 leadership role blending hands-on technical leadership, startup-style problem solving, and founding-team building.You’ll operate with a high degree of autonomy, working closely with product and research teams to design and build critical, load-bearing infrastructure components, while establishing the engineering culture and high-trust environment that will come to define our London presence.You willBuild and lead a small, talent-dense team responsible for foundational runtime systems powering ChatGPT.Drive the development of core infrastructure primitives that product engineers rely on to build new ChatGPT experiences (e.g., runtime frameworks, service integration patterns, and extensibility mechanisms within the ChatGPT runtime).Define and evolve the technical architecture of the ChatGPT runtime, unlocking new feature capabilities as part of our next phase of rapid growth.Work closely with product and research teams to ensure infrastructure enables rapid product development while maintaining strong reliability and operational discipline.Own the reliability of the systems your team builds—participating in incident response, supporting deployments, and helping evolve our operational model toward a follow-the-sun global infrastructure team.Hire and develop the early London team, helping establish the technical bar, culture, and operating model that will define our London engineering presence.Serve as a technical leader and connector between the London office and the broader global ChatGPT infrastructure organization.
    Qualifications7+ years of hands-on software engineering experience, ideally building large-scale distributed systems, developer platforms, or infrastructure products.Experience building and leading high-caliber engineering teams, particularly in startup or early-stage initiatives within larger companies.Proven ability to create a high-trust, high-agency culture where strong engineers can move quickly, take ownership, and operate effectively in ambiguous environments.Strong judgment in hiring and talent development, with a track record of building small, high-performing teams and maintaining a high technical bar.Track record of remaining deeply technical as a leader, contributing to architecture and design decisions while enabling others to do their best work.Experience operating in 0→1 or high-ambiguity environments, where teams are defining problems and building systems from scratch.Experience running production systems in cloud environments (e.g., AWS, GCP, Azure).Based in or willing to relocate to London. Read Less
  • Operations Analyst, User Operations (Trust & Safety) - EMEA  

    - London
    About the TeamAt OpenAI, our User Operations team safeguards our produ... Read More
    About the TeamAt OpenAI, our User Operations team safeguards our products and users from abuse, fraud, and safety risks. We serve as part of the company’s frontline safety infrastructure—helping ensure real-world user experiences translate into timely, high-integrity decisions and durable improvements. We operate at the intersection of operations, user trust, and risk management, collaborating cross-functionally with partners across Legal, Policy, Engineering, and Product, as well as external vendors.We support a global and diverse user base across OpenAI’s product suite by managing sensitive inbound tickets, high-severity escalations, and operational risk workflows. Our work is grounded in sound judgment, user trust, and a commitment to building reliable systems that scale.About the RoleWe are seeking a sharp, adaptive, and technically capable Operations Analyst to help scale and evolve our user safety and risk operations—focused on complex, time-critical issues where the right decision can materially change outcomes for users and the business.In this role, you’ll sit on the frontline of user safety: detecting and assessing high-impact risks that surface in real-world product usage and driving them to resolution alongside teams across the company. You’ll turn messy, ambiguous signals into clear actions—improving how we respond in the moment while also strengthening the systems (processes, documentation, and automation) that make consistent, high-quality decisions possible at scale. This is a high-autonomy role with visible impact: you’ll own workstreams end-to-end and measure success through faster response, higher quality outcomes, and reduced risk.Location / work model: London (hybrid, 3 days/week in-office).Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, good judgment, and resilience are essential.In This Role, You WillTriage and resolve complex, high-sensitivity user issues and escalations, including trust & safety incidents and other time-critical risk reviews.Conduct risk evaluations and investigations using internal tooling, operational documentation, and appropriate external sources when relevant.Serve as an incident manager for sensitive reviews requiring nuanced interpretation, clear decision-making, and strong cross-functional coordination.Partner with stakeholders across Legal, Policy, Product, Engineering, and Support to drive fast, defensible outcomes—and ensure lessons learned translate into improvements to user experience, policy interpretation, and safety operations.Design and improve operational workflows (intake, triage, escalation pathways, QA, training, and governance) with a strong focus on consistency, scalability, and auditability.Build and maintain playbooks, decision trees, knowledge articles, and macros, and continuously refine them based on new learnings.Take an automation-first approach: identify repetitive work, redesign the workflow, and prototype automation using AI tools, no-code platforms, or lightweight scripting (in partnership with technical counterparts as needed).Monitor operational health through quality audits, SLA tracking, escalation accuracy, and trend analysis, and propose interventions grounded in clear metrics.Contribute to vendor enablement and governance, including training, calibration, and process improvements—especially during transitions or ramp periods.You Might Thrive in This Role If YouHave 5+ years of experience in trust & safety, risk operations, investigations, incident response, or comparable high-judgment operational work in a fast-moving environment.Are highly technical for an ops role: strong analytical skills (e.g., SQL), comfortable working with data tooling/dashboards, and able to translate insights into operational changes.Can operationalize ambiguous risk signals into structured inputs for classifier/detection development—including taxonomy design, labeling guidance and quality standards, and feedback loops that improve performance over time (in collaboration with technical stakeholders).Operate with high standards and high conviction: you can form clear, defensible points of view, communicate them crisply, and drive decisions to closure.Default to systems thinking: you routinely turn one-off fixes into repeatable processes, and you measure impact (time saved, accuracy improved, risk reduced).Are AI-fluent and know how to apply model/agent tooling in real workflows—while maintaining strong QA discipline and appropriate safeguards.Communicate clearly and effectively—especially in writing—when dealing with sensitive topics and complex tradeoffs.Thrive in ambiguity, manage multiple priorities simultaneously, and stay effective as context changes.Nice to HaveExperience building QA programs, calibrations, sampling plans, or standardized review practices for sensitive workflows.Experience working with scaled vendor operations and governance models.Familiarity with building lightweight automation (scripts, no-code tools, workflow automation) in operational contexts. 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  • Data Scientist, Integrity Measurement  

    - London
    The Applied Foundations team at OpenAI is dedicated to ensuring that o... Read More
    The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stabilityThe Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. As the systems that address some of our most severe usage harms become more mature, we’re adding data scientists to help us measure robustly the prevalence of these problems and the quality of our response to them.About the RoleWe are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.This role is based out of our London office and may involve resolving urgent escalations outside of normal work hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise-disturbing material.In this role, you will:own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticalsdevelop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasetsbuild metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitableown dashboards and metrics reporting for harm verticalsconduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmapsoptimise LLM prompts for the purpose of measurementcollaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needsprovide metrics for leadership and external reportingdevelop automation to scale yourself, leveraging our agentic productsYou might thrive in this role if you:are a senior DS with trust and safety experience that can drive measurement directionhave deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based)have experience working with severe and sensitive harm areas like child safety or violenceare an excellent communicator, and have strong cross-functional collaboration skillsare capable in data programming languages (R or python, SQL)(ideally) have experience with AI harms or leveraging AI for measurement Read Less
  • Software Engineer, Codex App  

    - London
    About the TeamThe Codex App team owns the desktop application and IDE... Read More
    About the TeamThe Codex App team owns the desktop application and IDE extension that bring Codex into developers’ daily workflows. We build product experiences end-to-end, and we care equally about usability, performance, and reliability.Our stack is centered on a TypeScript/Node/Electron application that interfaces with external systems including the Codex CLI and app server (Rust). Building great features here often means designing clean boundaries between UI, local services, and native processes — and making the whole system observable and resilient.About the RoleWe’re hiring a Full Stack Software Engineer to build and evolve the systems that power the Codex desktop app and IDE extension. “Full stack” here means owning flows from UI → Node/TypeScript backend layers → IPC/process orchestration → integration with Rust services.This is a product-minded role. You’ll help define workflows, pick the right abstractions, and ship features that feel fast and dependable in real developer environments.What You’ll DoBuild end-to-end features across the Electron app (UI + Node/TypeScript backend layers).Design robust integrations with the Codex CLI and app server (Rust), including process lifecycle, streaming output, and error handling.Own IPC architecture and patterns (renderer/main boundaries, message schemas, backpressure, safety, debugging).Build systems for orchestration: long-running tasks, incremental progress updates, cancellation, retries, and state synchronization.Improve reliability, observability, and performance (logging/tracing/metrics, profiling, crash/debug tooling).Partner with design and product to turn ambiguous needs into crisp, shippable workflows.
    You Might Thrive Here If YouHave strong TypeScript/Node fundamentals and enjoy owning product features end-to-end.Have experience with Electron or desktop app architecture (renderer/main separation, performance pitfalls, packaging/release concerns).Are comfortable integrating with native processes/services (e.g., Rust) and designing clean, testable boundaries.Know (or are excited to learn) IPC patterns and distributed-systems-like thinking applied locally: message ordering, buffering, backpressure, retries, idempotency.Bring strong product judgment and enjoy iterating based on real usage and feedback.Have experience with developer tools, CLIs, or IDE integrations (nice-to-have). Read Less
  • Frontend Software Engineer, Codex App  

    - London
    About the TeamThe Codex App team builds and maintains the Codex deskto... Read More
    About the TeamThe 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 RoleWe’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 DoBuild 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 YouHave 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 built desktop-caliber product experiences (Electron or similar), and care about performance, responsiveness, and “it just feels right.”Enjoy exploring ambiguous problems and iterating rapidly with design and product.Think in end-to-end workflows, not isolated screens.Have experience with developer tools or IDE extensions (nice-to-have). Read Less

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