OpenAI

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into their products. You'll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products, requiring strong technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection through production launch and scale. Success is measured by production systems, sustained adoption, and meaningful customer impact.

OpenAI

We are seeking a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback.

OpenAI

We are seeking a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback.

OpenAI

We are seeking an Applied AI Engineer specializing in Cyber to join our team. In this customer-facing technical role, you will partner with clients to leverage OpenAI models, APIs, and agentic workflows for real-world cybersecurity challenges. You will work with security leaders and practitioners to identify high-impact use cases and design practical AI-driven solutions for areas like secure code review, vulnerability triage, threat modeling, and incident response. This role requires a blend of executive-level strategic thinking and hands-on technical expertise to guide customers from initial prototypes to robust production deployments, ensuring safe and effective integration of AI into critical security workflows.

OpenAI

OpenAI is seeking software engineers to join the Codex Cyber team, which is building the product and platform foundations for AI-native application security. This role is for strong full-stack or product-minded generalists who can own ambiguous product and platform problems end-to-end. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI.

OpenAI

We are looking for a Pricing Strategist to shape how we price and monetize OpenAI’s API platform. You will own the end-to-end pricing strategy across model launches, price architecture, packaging, commitments and discounts, and monetization guardrails. You will work closely with senior leaders across Product, Engineering, Data Science, GTM, and Finance to define pricing approaches, improve commercial decision-making, and bring more rigor to how we monetize our API offerings. You should be comfortable building monetization frameworks and commercial policies, analyzing tradeoffs, supporting high-impact decisions and driving decision making. You should also care deeply about the customer perspective and believe that strong pricing reflects a real understanding of customer value, needs, and friction points in order to build pricing that is clear, fair, and aligned with how customers experience our products.

OpenAI

The Agent Post-Training team is responsible for developing the frontier agents that OpenAI ships to the world, including models for Codex, ChatGPT, and the API. This role focuses on training models to produce polished, useful work products such as documents, spreadsheets, and reports, transforming vague user goals into finished artifacts with strong structure, visual taste, and correctness. The position involves owning improvements across the post-training stack, including RL, data pipelines, graders, reward signals, and evaluations. You will collaborate with researchers, engineers, product teams, and safety partners to shape major model runs and ship improvements into widely used products. This is a high-agency role for individuals eager to directly impact frontier models.

OpenAI

The Agent Post-Training team is responsible for developing the frontier agents that OpenAI ships to the world. This role focuses on training models to operate computers, enabling them to navigate browsers and desktops, utilize tools, reason through complex workflows, and collaborate with users and other agents. The work involves a blend of frontier model training, product behavior, evaluation, and systems engineering, directly influencing the computer-use capabilities of OpenAI's next-generation agents. You will collaborate with researchers, engineers, product teams, and safety partners to define model training runs, measure outcomes, and ship improvements to products used by millions.

OpenAI

The Agent Post-Training team is responsible for developing the frontier agents that OpenAI ships to the world, including models for Codex, ChatGPT, and the API. This role focuses on teaching models to interface with professional software using code, APIs, and tools. You will enable agents to operate across applications like Slack, Google Workspace, GitHub, and Salesforce, taking actions within a user's digital context to find information, update systems, coordinate work, and complete multi-step workflows. The position involves training models to leverage productivity and enterprise software, turning connected tools into a powerful action surface for agents. You will collaborate with researchers, engineers, product teams, and safety partners to define model capabilities, measure performance, and ship improvements into products.

OpenAI

The Agent Post-Training team is responsible for developing the frontier agents that OpenAI releases. This role focuses on scaling compute spent on context, enabling a new paradigm of model training with a clear product interface for iterative deployment. You will collaborate with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to define model run content, measure outcomes, and integrate improvements into widely used products. This is a high-agency position for individuals eager to directly influence frontier models.

OpenAI

The Agent Post-Training team at OpenAI is responsible for developing the frontier agents that are shipped to the world. This role focuses on building "north star" model environments to drive progress towards safe AGI/ASI, directly guiding ambitious research programs. You will collaborate with researchers, engineers, product, infrastructure, and safety teams to define model run objectives, measure outcomes, and integrate improvements into widely used products. This is a high-agency position for individuals eager to directly influence cutting-edge AI models and witness their rapid advancement.

OpenAI

The Agent Post-training Personality team at OpenAI is responsible for shaping the collaborative capabilities of frontier AI agents. This role focuses on understanding and enhancing agent "personality," which encompasses thoughtfulness, clarity, perceptiveness, appropriate proactivity, and ease of interaction. The goal is to create agents that are not only effective but also exceptional collaborators, understanding user intent, communicating with good judgment, adapting to context, and taking initiative when needed. This position involves a blend of behavioral research, product thinking, and communication expertise, requiring close collaboration with product teams, human experts, and researchers across the organization to ensure these improvements are integrated into widely used AI models.

OpenAI

The Agent Post-Training team is responsible for developing the frontier agents that OpenAI ships to the world, including models for Codex, ChatGPT, and the API. This role focuses on improving the capabilities, reliability, and product fit of OpenAI's agentic models specifically for power users and API developers. You will tackle ambiguous model behavior problems, translating them into concrete progress by enhancing aspects like tool use, planning, instruction following, and error recovery. The position involves close collaboration across research, engineering, data, evals, and product teams to refine model behavior for real-world workflows and API integrations, ultimately shaping the next generation of AI agents.

OpenAI

We are seeking a Software Engineer to join our Applied Research team within the Consumer Devices group. In this role, you will build tools and services that enable AI research, evaluation, and data generation workflows. Your work will involve transforming ambiguous design questions into working research systems, collaborating closely with researchers, designers, and engineers. The goal is to simplify the creation, execution, and trustworthiness of these workflows, ensuring research artifacts have a clear lifecycle, runs are reproducible and observable, and results provide valuable evidence for product and model-training decisions. You will help maintain reliable and reusable underlying systems.

OpenAI

OpenAI is seeking a Senior Technical Program Manager to lead cross-functional security, privacy, IT, and compliance initiatives. This role is deeply technical and execution-focused, requiring a structured operator to drive complex programs that reduce internal data access, prevent misuse, and ship security capabilities. You will focus on critical initiatives across insider threat, information security, physical security, and information technology challenges, partnering effectively across boundaries to scale trust, governance, and security across OpenAI’s systems and products.

OpenAI

OpenAI's API Platform organization is seeking full stack and frontend engineers to help define and build the next generation of OpenAI's developer experience. This role involves working across frontend product surfaces, backend systems, SDK and documentation pipelines, and API workflows that serve millions of developers and companies. You will partner closely with product, design, research, API engineering, and developer-facing teams to make complex AI capabilities simple to understand, easy to test, and safe to launch in real-world applications. This is a highly cross-functional role for someone who cares deeply about craft, developer empathy, reliability, and product velocity.

OpenAI

The Proactivity Research team at OpenAI is focused on making AI models proactive and useful for users. This role involves researching and developing improvements to model personalization and agentic capabilities, working on areas like reinforcement learning, dataset creation, and post-training methods. The team collaborates closely with other research and product teams to build a personalized, collaborative, and proactive assistant. We are looking for individuals with strong ML engineering skills and research experience, particularly with novel and capable models, who are passionate about product-driven research.

OpenAI

The AI Deployment Manager (ADM) role is a specialist post-sales enablement position focused on delivering high-impact enablement and adoption services across OpenAI's product suite. This role involves designing and executing technical enablement experiences to support a repeatable adoption framework, driving sustained activation, expanding product usage, and demonstrating measurable business value. You will help customers understand and correctly apply deployment harnesses, evaluation layers, and operational controls for reliable AI use. This position blends deep technical fluency, instructional design, and customer advisory, leading live trainings and workshops for diverse audiences to ensure effective real-world application of OpenAI's products.

OpenAI

OpenAI is seeking a highly motivated individual to join the Agent Post-Training team, responsible for developing frontier agents that can operate computers, collaborate with humans and other agents, and expand human potential. This role is intentionally broad, requiring individuals who can tackle ambiguous capability problems across research, engineering, data, evals, and product. You will work on models that write and debug code, use tools, call functions, operate computers, and complete valuable work for users. The position involves collaborating with researchers, engineers, product teams, and safety partners to define model capabilities, measure performance, and ship improvements into widely used products. This is a high-agency role for those who want their work to directly impact frontier models.

OpenAI

OpenAI is seeking a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. This customer-facing technical role requires the ability to move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes and help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback.