Manager, Applied AI Engineering (Megas)

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat

About the Team The Applied AI Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI. The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership. About the Role We are looking for an Applied AI Engineering Manager, Startups to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI. This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams. In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus. In this role, you will: Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers. Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies. Help startups move from early e

About the Team OpenAI’s Applied AI Engineering (AIE) team helps customers around the world build and deploy AI solutions that deliver measurable business value. We combine technical expertise and hands-on engineering to identify high-impact use cases, develop and evaluate solutions, and guide customers from experimentation to production—bringing deployment insights back to OpenAI’s product and research teams. About the Role We are seeking a Technical Program Manager to lead the planning, execution, and ongoing operations of programs across OpenAI’s global Applied AI Engineering team. You will turn customer, field, and leadership priorities into actionable programs spanning regions and customer segments, managing milestones, dependencies, risks, and delivery in collaboration with AIE, Sales, Product, and partner teams. Alongside execution, you will own and improve AIE’s internal operating mechanisms and tooling, and work with leadership to resolve adoption and delivery bottlenecks. This role combines hands-on program ownership with the opportunity to inform AIE priorities and industry strategy, improve how the team operates, and scale successful approaches globally. This role is based in San Francisco, California in the United States. In This Role, You Will Own end-to-end delivery and operations for a prioritized portfolio of global AIE initiatives, including project plans, milestones, dependencies, risks, regional rollout, leadership updates, and performance tracking. Co-own industry strategy with AIE and GTM leaders across regions: synthesize customer and field feedback, identify recurring workflows and adoption barriers, and prioritize use cases and investments. Partner with AIEs across regions and customer segments to identify recurring adoption, delivery, and operational bottlenecks and root causes; work with leadership to prioritize actions, align resources, and drive resolution. Lead the design of reusable technical industry workshops—including agendas, demos,

About the role We’re looking for a Manager, Applied AI Architect to lead a team of Applied AI Architects. In this role, you’ll combine technical leadership, customer engagement, and team development to deliver exceptional customer experiences from pre-sales discovery and solution evaluation through deployment and adoption, driving real business impact. You’ll guide your team through complex customer challenges, help them navigate ambiguity, and ensure solutions are grounded in both strong technical thinking and clear business value. You’ll also partner closely with Sales, Deployment, Product, Engineering, and Research to create a seamless end-to-end customer journey. This role is open in our San Francisco or New York 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: Develop and communicate a clear strategic vision for the Applied AI Architect team, ensuring alignment with the company's overarching goals and the evolving needs of our customers. Guide and support a multifaceted team throughout the customer lifecycle, from pre-sales discovery and evaluation through deployment and adoption, ensuring clear technical account plans, measurable customer outcomes, and scalable systems and processes. Act as a trusted escalation point for key customers within your sales segment, helping to address complex technical challenges and ensuring clear communication with executive-level stakeholders. Advocate for the innovative and effective application of our AI technologies across various sectors, positioning the company as a leader in the industry. Ensure your team remains accountable for technical progress and customer outcomes, coordinating specialist support and establishing clear ownership with delivery teams for implementation execution. You’ll thrive in this role if you: Bring 8+ years of experience in technical customer-facing roles, building and managing C-level technical and busines

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. In this role, you will: Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth. Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems. Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance. Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards. Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals. Establish processes and a culture that enable fast learning, high trust, and responsible innovation. Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong sec