Manager of AI Deployment Engineering - Codex

Join OpenAI as a Manager of AI Deployment Engineering for our Codex team. In this pivotal role, you will lead initiatives to deploy cutting-edge AI technologies, ensuring efficient integration and transformative impact across various platforms. Your expertise will drive the development of innovative solutions that enhance user experiences and streamline operations.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower organizations to seamlessly integrate advanced coding tools throughout their software development lifecycle. We are more than technical partners; we are collaborators who accelerate the planning, building, and delivery of software for a diverse range of clients, from innovative startups to established global enterprises.About the RoleWe are on the lookout for a technically proficient and creatively inclined AI Deployment Engineer who is not just a user of AI coding tools but is passionate about enhancing developer productivity. In this role, you will work closely with engineering leaders and hands-on developers to create, validate, and expand advanced AI workflows. You will often leverage Codex to develop prototypes, demos, integrations, and automations that our customers will utilize.This multifaceted position blends technical architecture, product strategy, and customer engagement. Collaborating with Sales, Solutions Engineering, Product Management, Applied Engineering, and the broader Codex team, you will advocate for customer needs, influence product direction, and facilitate the successful deployment of intelligent coding systems across some of the most impactful companies worldwide.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a select group of clients, working closely with their engineering teams to enhance coding workflows.Collaborate with customers to design and implement AI-powered development workflows, from rapid prototyping to scalable production.Create high-quality demos, reference implementations, and workflow automations using Codex in your development process.Facilitate large-scale workshops, in-depth technical sessions, and hands-on training that empower engineering teams to adopt AI coding tools effectively and safely.Contribute technical content such as examples, guides, patterns, and best practices to the OpenAI Cookbook, helping the broader developer community enhance their use of Codex.Gather valuable insights from actual customer deployments and translate them into actionable product proposals and feedback for internal teams.Influence customer strategies and decision-making by illustrating how AI coding tools enhance their software development lifecycle (SDLC), technical roadmap, and organizational goals.

About Our TeamThe Codex Core Agent team is responsible for developing the foundational kernel of Codex. We focus on enhancing the agent's capabilities, expediting research, and ensuring these advancements translate into practical applications for our users.This entails collaboration across the various systems that allow Codex to function effectively in real-world scenarios, including optimizing production performance, managing token usage, minimizing latency, ensuring reliability, controlling costs, and scaling capacity. We also work on the core execution loop and interfaces that transform models into practical actions, alongside building infrastructure that supports other teams in leveraging Codex. Importantly, our feedback systems utilize real-world usage to refine models and enhance agent performance over time.About the RoleWe are seeking talented applied AI engineers to help transition Codex agents from impressive demonstrations to reliable, everyday tools. This position involves enhancing agent performance on actual software engineering tasks and bridging the gap between research capabilities and tangible real-world utility.You will collaborate closely with research teams, infrastructure, and product development to ensure that agents are not only powerful but also practical, controllable, and dependable. Your mission is to not only enhance model performance in isolation but also to translate those improvements into measurable increases in solution rates, usability, and economic value for our users.Your ResponsibilitiesDesign and refine agent behaviors across real-world coding tasks and extended workflows.Collaborate with research to create and execute evaluations that measure agent performance, identify regressions, and understand failure modes and edge cases.Enhance performance through effective prompting, strategic tool usage, context construction, and model-facing experimentation.Investigate production failures and systematically enhance stability and reliability.Develop feedback loops and data systems that integrate real-task data into our evaluation and research processes.Collaborate with product teams to shape user-facing agent experiences and the essential interfaces that support agent functions.Help define the criteria for what constitutes successful completion of complex tasks by agents.Ideal Candidate ProfileExperience in building or deploying machine learning or LLM-powered products.Proficiency in Python and familiarity with modern machine learning tools.Background in model evaluation, fine-tuning, or related areas.

About Our TeamThe Codex team at OpenAI is at the forefront of creating cutting-edge AI systems designed to empower users by writing code, understanding software logic, and functioning as intelligent agents for both developers and non-developers. Our mission is to redefine the landscape of code generation and intelligent reasoning, deploying these innovations into real-world applications such as ChatGPT and our API, as well as future tools tailored for intelligent coding. We engage deeply in research, engineering, product development, and infrastructure management, overseeing the entire lifecycle of experimentation, deployment, and iterative improvements on advanced coding functionalities.About the PositionAs a key member of the Codex team, you will enhance the capabilities, performance, and reliability of AI coding models through rigorous research, innovative experimentation, and systematic optimization. Collaborating with top-tier researchers and engineers, you will develop and deploy robust systems that enable millions to code more efficiently and effectively, ensuring these systems are not only powerful but also cost-efficient and ready for production.We seek individuals who possess a blend of deep curiosity, strong technical skills, and a commitment to impactful work. Whether your expertise lies in machine learning research, systems engineering, or performance optimization, you will be instrumental in advancing the state-of-the-art and translating these breakthroughs into user-friendly applications.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days per week in the office. We also provide relocation assistance for new hires.In This Role, You Will:Design and conduct experiments aimed at enhancing code generation, reasoning, and agentic behaviors in Codex models.Generate research insights to improve model training, alignment, and evaluation processes.Identify and rectify inefficiencies throughout the Codex system stack—from agent behavior to large language model inference to container orchestration—paving the way for significant performance enhancements. Develop tools to measure, profile, and optimize system performance on a large scale.Collaborate across the technical stack to prototype new features, troubleshoot complex issues, and deliver improvements to production environments.You Will Excel in This Role If You:Are enthusiastic about exploring and advancing the capabilities of large language models, particularly in software reasoning and code generation.Possess robust software engineering skills and enjoy rapidly transforming concepts into functional prototypes.Take a holistic view of performance, effectively balancing speed, efficiency, and quality.

About Our TeamAt OpenAI, the Codex team is on a mission to revolutionize software engineering through cutting-edge AI technology. We are developing an AI software engineer capable of collaboration, task delegation, and proactive engagement. Our dynamic team combines expertise in research, engineering, design, and product development, continuously iterating on the Codex agent's capabilities and training the model to excel in complex software engineering tasks.The Codex team is at the forefront of creating advanced AI systems that can write code, reason about software, and serve as intelligent agents for both developers and non-developers. We manage the complete lifecycle of experimentation, deployment, and enhancement of innovative coding functionalities across research, engineering, product, and infrastructure.Codex for Teams specializes in developing products and platform functionalities that facilitate the integration of Codex into various team settings. Our cross-functional team works across the technological stack to create both engaging product experiences and essential platform capabilities. We cater to a diverse customer base, from small teams to large enterprises, and our mission is pivotal to realizing Codex as a proactive team member.About The RoleAs we expand, our goal is to transform Codex from a robust individual tool into a production-ready teammate for entire organizations. You will collaborate with internal OpenAI teams and external clients, ranging from agile startups to established enterprises, to ensure that Codex can be deployed, operated, and trusted in demanding real-world environments.With the surge in consumer adoption of Codex, enterprise demand is growing swiftly, offering exciting opportunities to enhance workflows, controls, and reliability. This team is dedicated to converting complex, real-world requirements into reliable, scalable product and platform capabilities.You will engage directly with a select group of highly involved design-partner customers, utilizing their actual deployments to identify opportunities and requirements for Codex's success within contemporary engineering organizations. These insights will inform your development work across product, infrastructure, and deployment methodologies for all teams utilizing Codex.This role encompasses end-to-end system ownership, from architecture and implementation to production operations, with a strong emphasis on both quality and speed.In This Role, You Will:Influence the evolution of Codex by understanding how teams utilize (and sometimes challenge) AI-powered software...

Join Our Innovative TeamAt OpenAI, our AI Deployment Engineering team is dedicated to the safe and impactful integration of Generative AI applications for developers and enterprises alike. Acting as trusted advisors and thought leaders, we collaborate closely with our customers to curate an effective portfolio of GenAI use cases tailored to their industries, propelling these solutions into production through expert technical guidance. As the head of our Solutions Architects within the Digital Native segment, you will empower technology and software firms to revolutionize their operations through advanced solutions, including customer service enhancements, automated content generation, and pioneering applications utilizing our most cutting-edge models.Your RoleWe are on the lookout for a visionary leader who will spearhead the technical success of our key technology and software clients across the Americas. In this pivotal position, you will oversee the entire implementation process, ensuring a smooth platform integration. As the voice of our clients, you will synchronize technical teams to provide a cohesive and outstanding experience throughout the customer journey. Your success will be gauged by the deployment of live applications, heightened API engagement, and compelling customer narratives that highlight the transformative power of our technology.This position is based in our San Francisco office, embracing a hybrid work model with three in-office days per week, and we offer relocation support for new hires.Key ResponsibilitiesDevelop and execute the strategy and operational framework of the AI Deployment Engineering team, ensuring alignment with organizational goals and the dynamic needs of our clients.Lead, nurture, and inspire a high-performing team of Solutions Architects to achieve remarkable customer outcomes, evidenced by production applications and increased API utilization.Act as the technical champion for our clients, translating their requirements into actionable insights for Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation resource during development phases, building trust and maintaining open lines of communication with executive stakeholders.Position yourself as an industry thought leader, advocating for the responsible and innovative use of our technology across various sectors.Ideal Candidate ProfilePossess 8+ years of experience in a technical, customer-facing role, particularly with C-level technical and business executives.Demonstrated leadership in managing complex projects and cross-functional teams.Exceptional communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong analytical and problem-solving skills, coupled with a passion for innovative technology.

About the TeamAt OpenAI, we are pioneering the future of software engineering with Codex, an advanced AI-powered software engineer designed to assist, delegate tasks, and proactively manage future challenges. Our dynamic team blends research, engineering, design, and product expertise to enhance the Codex agent harness and product, ensuring it excels in complex software engineering tasks.The Codex team is dedicated to creating cutting-edge AI systems capable of writing code, reasoning about software, and serving as intelligent assistants for both developers and non-developers. We oversee the complete lifecycle of experimentation, deployment, and refinement of innovative coding capabilities across research, engineering, product, and infrastructure.Codex Cloud is focused on developing cloud-first software engineering products and the essential platform capabilities that enable agentic experiences across OpenAI. This cross-functional team collaborates across the stack to deliver both exceptional product experiences and foundational platform capabilities.About the RoleAs a member of Codex Cloud, you will take ownership of cloud-based agentic experiences, such as code reviews and cloud tasks, alongside the essential runtime/orchestration layer for these tasks. This infrastructure transforms Codex from a code generator into a scalable AI software engineer. It provides secure, sandboxed environments where Codex can execute commands, manage files, run tests, and progressively enhance its output across real codebases—just like a human developer. Furthermore, Codex Runtime serves as the distributed systems foundation that enables numerous supervised AI agents to operate within OpenAI's and clients' data centers, addressing increasingly complex objectives over extended periods. By providing agents with a tangible working context and dependable execution environment, Codex Runtime empowers Codex to validate its modifications, debug errors, and produce production-ready results, defining how AI agents interact safely and reliably with the world's software.Your Responsibilities:Influence the evolution of Codex by analyzing actual user interactions with AI-powered software engineering, driving enhancements across product, infrastructure, and model behavior to establish Codex as a trusted collaborator for organizations.Craft comprehensive customer-facing software engineering experiences for both consumer and enterprise segments, automating and elevating the software development lifecycle.

About the TeamThe Codex Core Agent team is at the forefront of developing the foundational elements of Codex. Our mission is to enhance the agent's capabilities, expedite research efforts, and ensure these advancements are implemented effectively for our users.This involves collaborating across various systems that empower Codex to operate seamlessly in the real world. We focus on optimizing production performance metrics such as token management, latency, reliability, cost efficiency, and capacity. Our work encompasses the core execution loop and interfaces that translate models into actionable behaviors, as well as the shared infrastructure that supports other teams in leveraging Codex. Additionally, we establish feedback mechanisms that refine models and agent behaviors based on real-world usage over time.About the RoleWe are seeking passionate engineers to develop the infrastructure that fuels Codex agents in production environments. This role centers on the systems that ensure models can execute code securely, interact with various tools, complete complex, multi-step tasks, and maintain reliability and efficiency at scale.You will be responsible for designing and managing the infrastructure that supports sandboxed execution, orchestration, stateful workflows, application server and SDK boundaries, as well as model rollouts. Working at the intersection of distributed systems, developer tools, and AI, you will create the core components that enhance Codex's performance, safety, and reliability, making it easier for teams across the organization to build on its capabilities.What You’ll DoDesign and implement execution environments tailored for AI agents, incorporating features like sandboxing, isolation, and reproducibility.Develop orchestration systems for agents that handle multi-step processes and tool utilization.Create infrastructure for the execution, testing, and debugging of code generated by models.Establish state and memory systems that enable agents to maintain context during extended tasks.Optimize production metrics including tokens, latency, reliability, and cost across the Codex deployment.Assist in model rollouts, capacity planning, and managing the essential trade-offs between quality, speed, and cost to effectively handle a fleet of advanced agents at scale.Develop shared platform capabilities that facilitate the work of product teams, partner teams, and the open-source community contributing to Codex.You Might Be a Good Fit If YouPossess substantial experience in distributed systems or infrastructure engineering.Have experience building systems involving containers, sandboxing, or virtualization.Are adept at working across backend systems and collaborating with diverse teams to drive project success.

About the TeamJoin the AI Deployment Engineering team at OpenAI, dedicated to the secure and efficient implementation of Generative AI applications for developers and enterprises. We serve as trusted advisors and innovative partners, crafting a comprehensive backlog of GenAI use cases tailored to industry needs, and guiding them to production with robust technical support. As the head of our AI Deployment Engineers in the Digital Native segment, you will empower technology and software companies to revolutionize their operations via solutions like customer service automation, content generation, and cutting-edge applications utilizing our most advanced models.About the RoleWe are in search of an accomplished leader to drive the technical success of our key technology and software clients across the Americas. In this strategic position, you will oversee the complete implementation process, guaranteeing smooth platform integration. Acting as the voice of our customers, you will coordinate technical teams to provide a unified, exceptional experience throughout the customer journey. Your performance will be evaluated based on the launch of live applications, increased API usage, and compelling customer success stories that highlight our technology's value.This position is based in our San Francisco office, operating on a hybrid work model of three days in-office per week, with relocation assistance available for new hires.Your Responsibilities Include:Develop and implement the strategy and operational framework for the AI Deployment Engineering team, ensuring alignment with corporate goals and customer needs.Lead, build, and mentor a team of high-achieving AI Deployment Engineers to achieve outstanding customer results, evidenced by production customer applications and enhanced API engagement.Act as the technical advocate for our clients, distilling their requirements to shape the Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation point during project development, fostering trust and ensuring direct communication with executive stakeholders.Establish yourself as an industry thought leader, promoting the safe and innovative utilization of our technology across diverse sectors.You Will Excel in This Role If You:Possess over 8 years of experience in a technical, customer-facing role, managing C-level technical and business relationships with complex global organizations.Demonstrate a strong foundation in AI technologies and their deployment in business contexts.Exhibit exceptional communication and leadership skills, with a proven ability to drive teams toward success.

Join OpenAI’s Codex Team as a Senior Data ScientistAbout Our TeamCodex is an innovative first-party developer product by OpenAI, concentrating on agentic software engineering. Our mission is to create cutting-edge tools that empower engineers to design, write, test, and deploy code more efficiently and safely at scale. We work collaboratively with research and product teams to transform advancements in AI models into significant productivity enhancements for developers.Role OverviewIn the role of Senior Data Scientist at Codex, you will play a crucial part in evaluating and driving product-market fit for our AI-driven developer tools. You will define the metrics of “developer productivity” for our offerings, conduct experiments on new coding models and user experiences, and identify areas where our technology can enhance or hinder performance across various languages and tasks. Your findings will have a direct impact on how the software industry evolves.This position is located in San Francisco, CA, and we follow a hybrid work model requiring 3 days in the office weekly. We also provide relocation assistance for new hires.Your ResponsibilitiesCollaborate closely with the Codex product team to uncover opportunities for enhancing developer outcomes and fostering growth.Design and analyze A/B tests and staged rollouts of new coding models and product features.Establish and implement key performance metrics such as suggestion acceptance rates, edit distances, compile/test pass rates, task completion times, latency, and overall session productivity.Create informative dashboards and analyses that enable the team to independently find answers to product-related questions (segmented by language, framework, repository size, task type).Investigate failure modes and work with Research to identify targeted improvements (model quality signals, user feedback, evaluations).Ideal Candidate Profile5+ years of experience in a quantitative role within a developer-focused or high-growth product environment.Proficiency in SQL and Python, with a solid understanding of experimental design and causal inference methodologies.Demonstrated experience in defining product metrics that relate to user value.Strong communication skills to effectively engage with product managers, engineers, and designers, and influence product direction.Preferred QualificationsA robust programming background with the ability to prototype, run simulations, and assess code quality.Familiarity with IDE/extension telemetry or analytics related to developer tooling.Previous experience with Natural Language Processing (NLP), Large Language Models (LLMs), or code models is a plus.

Join Rockstar, a pioneering company dedicated to revolutionizing enterprise accounting by leveraging powerful integrations, intuitive design, and AI-driven automation. Our platform consolidates processes into a user-friendly interface, allowing accounting teams to focus on strategic, high-value tasks while reducing resource consumption.Our team comprises elite engineers and finance professionals from prestigious firms like Robinhood, Bolt, EY, Facebook, Twitter, Netflix, Amazon, Google, and Airbnb. With extensive industry experience, we are reshaping the way businesses handle their financial management.Backed by prominent Silicon Valley investors, we have successfully raised the largest seed round in our category, enabling us to launch a fully operational product and onboard several major clients.As an AI Deployment Engineer, you will:Collaborate with account executives to navigate complex deal cycles involving multiple stakeholders.Oversee and execute technical proof-of-concept (POC) processes.Optimize prompts and models to ensure optimal AI performance for our clients.Develop custom modules to facilitate successful client launches.Create and present tailored demonstrations based on customer business needs.Draft a comprehensive implementation scoping document for each customer.Integrate with various transaction systems, including revenue, billing, and accounts payable.Engage in customer-facing activities, including technical discovery calls.Collaborate with product and engineering teams to fulfill customer requests and advocate for their needs.Troubleshoot, debug, and enhance software to maintain reliable and robust performance in production environments.Provide ongoing technical support and maintenance for deployed solutions.Your qualifications include:Minimum of 2 years of experience in forward deployment engineering, sales engineering, implementation engineering, or solution engineering.Bachelor’s degree in any engineering discipline; computer science preferred but not mandatory.Excellent verbal and written communication skills, with the ability to effectively interface with customers.Self-motivated and proactive mindset.Capability to thrive in a high-pressure, fast-paced startup culture.Proficiency in programming languages such as Golang, Typescript, and Python.Adept at identifying customer needs and delivering innovative solutions.Experience collaborating with Account Executives on technical sales processes for Enterprise customers.

About the Role:As an AI Deployment Strategist at F2-ai, you will play a pivotal role in bridging customer success, sales, and engineering teams to guarantee technical precision and effective implementation of our innovative F2 product. You will establish yourself as the go-to expert in AI prompting, serving as the technical foundation for our go-to-market strategy.Your Responsibilities:Assist in the F2 sales process: Participate in prospect and client meetings to resolve technical inquiries related to our product.Manage customer due diligence: Complete InfoSec questionnaires and enhance our due diligence knowledge base continuously.Review reports produced by users, identify issues, and collaborate with engineering to ensure customers derive value from our AI solutions.Develop prompts: Craft natural language prompts tailored to specific customer requirements to guarantee accurate and relevant report outputs.Conduct light technical implementations, such as configuring Single Sign-On (SSO) or establishing custom data retention policies.Maintain CRM hygiene: Ensure data is clean and structured to support the scalability of customer success and sales teams.Act as the customer advocate to the engineering team, providing valuable feedback that aids in product enhancement.Who You Are:You are a dynamic professional adept at translating technical language for engineers and customers alike. Your experience with enterprise buyers enables you to convey complex systems in a straightforward manner, fostering cross-functional collaboration that leads to impactful results.Experience in prompt engineering and working with LLMs and AI SaaS tools.Familiarity with enterprise information security concepts and due diligence procedures.Excellent communication skills, commercially astute, customer-focused, and technologically proficient. You can simplify complex ideas for non-technical audiences.Proficient in project management of intricate workflows and technical deliverables without the need to write production code.Strong technical aptitude and willingness to enhance your coding skills.

Role overview The Partner AI Deployment Engineer at OpenAI focuses on delivering AI solutions built on Amazon Web Services (AWS). The position involves close collaboration with partners to bring OpenAI technologies into their products and workflows. This role is based in San Francisco. What you will do Deploy AI solutions using AWS infrastructure Work with partners to integrate OpenAI technologies into their systems Troubleshoot technical challenges and support successful implementation

About the RoleJoin Rowspace as a founding AI Deployment Manager, where you'll be the linchpin in maintaining and enhancing our relationships with high-profile financial clients. Your mission is to drive their success on the Rowspace platform, ensuring they derive maximum value while exploring opportunities for expanded usage across their organizations. As the primary feedback conduit between our customers and the product team, your insights will help shape our offerings.This innovative role transcends conventional account management, requiring you to dive deep into the intricacies of investor operations—including their research methodologies, decision-making workflows, and data infrastructures. The ideal candidate will possess firsthand experience in finance or a consulting background that showcases their adeptness at managing complex client relationships.Your ResponsibilitiesManage customer relationships after the sale, focusing on onboarding, adoption, expansion, and retention.Develop a comprehensive understanding of your customers' workflows and how Rowspace integrates into their daily processes.Serve as the voice of the customer, synthesizing feedback to collaborate closely with product and engineering teams on future developments.Identify growth opportunities and collaborate with Account Executives to close deals.Engage in late-stage deals to ensure seamless transitions, maintaining strong relationships even before contracts are finalized.Create playbooks that define exceptional customer engagement strategies at Rowspace.Your Qualifications3–7+ years of experience in finance (buy-side, sell-side, or fintech) or management consulting, with a proven track record in ongoing client engagement.In-depth knowledge of finance workflows or a rapid learning ability in this area.Demonstrated self-starter attitude with a proactive approach to problem-solving.Detail-oriented and curious; you prefer in-depth understanding over surface-level insights.Strong pattern recognition capabilities to identify trends across customer feedback and articulate their implications for product development.Excellent communication skills, capable of delivering clear updates and leading productive quarterly business reviews.

About the TeamThe B2B Marketing team at OpenAI plays a crucial role in advancing our mission to promote the responsible and extensive use of artificial intelligence. Our team's focus is on crafting and executing strategic initiatives that enhance awareness, engagement, and utilization of OpenAI's innovative products and platform. We leverage data-driven insights to grasp our customers' needs and challenges, ensuring their perspectives are integrated into product development and communication strategies. Collaborating closely with teams across Product, Engineering, Growth, Sales, Research, Communications, and Design, we strive to deliver a seamless customer experience across all channels.About the RoleWe are seeking a technically adept Product Marketing Manager to spearhead the adoption and expansion of Codex. This position requires a comprehensive understanding of developer tools, coding processes, and contemporary AI-enhanced development environments.Codex is rapidly emerging as a vital AI partner for developers, facilitating faster writing, comprehension, and deployment of code within actual production settings. Your role will involve translating technical advancements into compelling value propositions for developers, shaping Codex's market positioning within the dynamic AI coding landscape, and implementing initiatives that promote its adoption and utilization within the developer community.This position is inherently cross-functional, merging traditional product marketing responsibilities with expertise in the developer ecosystem and growth strategies. You will collaborate extensively with Product, Developer Experience, Sales, and Growth teams to introduce new capabilities, empower go-to-market initiatives, and ensure Codex remains a relevant tool for developers in software creation.The ideal candidate will possess a strong foundation in product marketing, coupled with deep technical knowledge and an intuitive grasp of how developers identify, assess, and integrate new tools into their workflows.

About Our TeamAt OpenAI, our AI Deployment Engineering team is dedicated to facilitating the safe, seamless deployment of cutting-edge Generative AI applications for developers and enterprises. We pride ourselves on being trusted advisors and strategic partners for our clients, helping to curate a robust backlog of GenAI use cases tailored to their industry needs and guiding them through the production process with exceptional technical expertise. Our clientele is diverse, ranging from innovative startups to established global corporations.About the RoleWe are on the lookout for a highly skilled, business-savvy AI Deployment Engineer who is passionate about shaping the future of advanced AI in collaboration with our dynamic startup customers. You will engage with some of the most groundbreaking AI startups globally, guiding them through the stages of ideation, development, delivery, and scaling, thereby enhancing and maximizing the value of their projects on our platform. This position offers the chance to work on pioneering use cases leveraging our API, serving as a vital link in aggregating and conveying high-quality product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting directly to the Startups AI Deployment Lead.This role is based in our San Francisco headquarters, operating under a hybrid model that requires 3 days in the office each week, with relocation assistance provided for new hires.Your Responsibilities:Collaborate intimately with strategic startup clients, serving as their technical advisor to innovate applications on our API and swiftly transition from ideation to scalable solutions.Offer proactive insights to enhance business impact and expedite application development.Engage in experimentation and prototyping with customers, showcasing practical applications.Contribute to open-source initiatives, disseminating knowledge, codifying best practices, and developing valuable resources.Aggregate and relay insightful feedback to the Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical ally to both individual clients and the broader community.You Will Excel in This Role If You:Possess 5+ years of experience as a software engineer, ML engineer, or in a related role, preferably within a startup environment; experience as a founder or founding engineer is a plus.

About Our TeamThe AI Deployment Engineering (ADE) team at OpenAI is dedicated to ensuring the safe and effective deployment of Generative AI applications for both developers and enterprises. As trusted advisors and technical collaborators, we guide our clients in crafting and executing their AI adoption strategies following the sales process. Our mission is to build a robust portfolio of GenAI use cases tailored to various industries, driving initiatives from prototype stages to full production through hands-on technical support and partnership.As a Partner AI Deployment Engineer, you will assist systems integrators and their most pivotal clients in transforming their business landscapes through innovative solutions, including customer service automation, content generation, and cutting-edge applications utilizing our latest models.About the RoleWe seek a motivated solutions leader with a product-oriented mindset to take on the role of the first Partner AI Deployment Engineer. You will spearhead the technical engagement with our systems integrators (covering GSIs, RSIs, and boutique SIs) and ensure their clients derive substantial business value from GenAI. Your role will involve helping partners identify valuable use cases and providing technical guidance during the implementation of AI solutions. Your contributions will expedite partners' ability to unlock distribution and adoption, ensuring they achieve exceptional results for our shared clients while upholding high-quality standards. You will work closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting to the Head of Solutions Architecture.This opportunity is based in San Francisco, CA, and follows a hybrid work model, requiring three days in the office per week, with relocation assistance available for new hires.Key Responsibilities:Act as a technical lead and thought partner for GSIs, RSIs, and boutique SIs, collaborating to ideate and develop innovative applications on our API for their clients.Engage with senior stakeholders from SIs and clients to identify optimal GenAI applications relevant to their industries and create a comprehensive backlog to support their AI initiatives.Directly intervene to expedite customer time-to-value by developing hands-on prototypes or delivering impactful strategic insights.Cultivate and maintain relationships with SI and customer stakeholders to ensure the successful deployment and scalability of applications.Standardize solution packages and architectural patterns to streamline deployment timelines for customers.

About Our TeamJoin the innovative Codex App team, where we develop and enhance the Codex desktop application and IDE extension — the essential tools that empower developers to seamlessly engage with Codex. Our mission is to transform AI into a dependable software engineering partner within real-world workflows, facilitating code editing, task execution, change reviews, and the management of extensive projects.We operate at the crossroads of research, product development, and design, allowing us to deliver promptly, gather insights from actual usage, and iteratively improve both the user experience and the framework that connects our users to the AI model.About the RoleWe are looking for a skilled Frontend Software Engineer to create an exceptional desktop experience and advance the interface for agent interactions. This role emphasizes craftsmanship: you will collaborate closely with designers to prototype, refine, and enhance new interaction models, ultimately transforming them into robust, high-performance products.You will play a pivotal role in defining the ideal dynamics of “human ↔ agent” collaboration, determining the UI elements, how state is represented, how progress and uncertainty are communicated, and ensuring users remain oriented during prolonged and multi-step tasks.Your ResponsibilitiesDevelop and deliver sleek, high-performance user interfaces for the Codex desktop application and IDE extension.Work closely with designers to transform prototypes into high-quality production experiences (layout, motion, typography, interaction details).Refine future interfaces for agent interactions, including delegation, task timelines, status/progress indicators, handoffs, reviews, and control surfaces.Take charge of frontend architectural decisions (component systems, state management, navigation, rendering performance).Enhance quality and reliability through testing, instrumentation, and thoughtful UX design addressing failure modes.Collaborate with platform, model, and backend teams to integrate new functionalities into cohesive product workflows.Ideal Candidate ProfileDemonstrated experience with modern frontend technologies (React, TypeScript) and a strong commitment to UI excellence.Passionate about design engineering: focusing on details while maintaining project velocity.Experience in building desktop-quality products (using Electron or similar frameworks) with a focus on performance and responsiveness.Enthusiastic about tackling ambiguous challenges and rapidly iterating with design and product teams.

About Our TeamJoin the innovative Codex App team at OpenAI, where we are dedicated to enhancing developers’ workflows through our desktop application and IDE extension. Our focus is on creating seamless product experiences with an emphasis on usability, performance, and reliability.Our technology stack primarily consists of TypeScript, Node.js, and Electron, interfacing with external systems such as the Codex CLI and Rust-based app server. Crafting exceptional features involves designing clear boundaries between the user interface, local services, and native processes, ensuring the entire system is observable and resilient.Your RoleWe are seeking a Full Stack Software Engineer to help develop and enhance the systems that drive our Codex desktop application and IDE extension. In this role, you will manage workflows from the UI to the Node/TypeScript backend, coordinating with IPC/process orchestration and integrating with Rust services.This position demands a product-oriented mindset. You will be instrumental in defining workflows, selecting appropriate abstractions, and delivering features that are both fast and reliable in real-world developer environments.Key ResponsibilitiesDevelop end-to-end features for the Electron application, encompassing both UI and backend layers using Node.js and TypeScript.Create robust integrations with the Codex CLI and Rust app server, focusing on process lifecycle management, streaming output, and error handling.Manage IPC architecture, including renderer/main boundaries, message schemas, and debugging methodologies.Design systems for task orchestration, including long-running tasks, incremental updates, cancellations, retries, and state synchronization.Enhance system reliability, observability, and performance through logging, tracing, metrics, profiling, and debugging tools.Collaborate with design and product teams to translate ambiguous requirements into well-defined, deliverable workflows.Ideal Candidate ProfileStrong foundation in TypeScript and Node.js, with a passion for managing product features from inception to deployment.Experience with Electron or desktop application architecture, including understanding renderer/main separation and performance optimization.Ability to integrate with native processes/services (e.g., Rust) and design clean, testable boundaries.Familiarity with IPC patterns and a mindset geared towards distributed systems applied locally: message ordering, buffering, retries, and idempotency.Enthusiasm for learning and adapting to new technologies and methodologies.

About WRITERAt WRITER, we empower the world's leading enterprises to harness the power of AI in their operations. Our mission is to enhance human capabilities through advanced superintelligence, demonstrating the potential of reliable AI to bridge the gap between IT and business teams for comprehensive enterprise transformation. With our cutting-edge end-to-end platform, renowned companies such as Mars, Marriott, Uber, and Vanguard are successfully building and deploying AI agents utilizing their proprietary data, powered by our state-of-the-art enterprise-grade LLMs. As a company valued at $1.9 billion and supported by top-tier investors like Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is swiftly establishing itself as the frontrunner in enterprise generative AI.Founded in 2020 and with additional offices in New York City, Austin, Chicago, and London, our team is ambitious and agile. We are on the lookout for innovative, dedicated individuals to join us in shaping the future of work through AI. About the RoleAs an AI Deployment Engineer at WRITER, you will play a pivotal role in our mission to enhance human capacity through superintelligence. This position is not just technical; it's influential, as you will collaborate closely with our enterprise clients. Your insights will be vital in identifying their unique challenges and designing AI-driven solutions that leverage our robust platform and enterprise-grade LLMs. You will convert complex requirements into impactful applications, championing user adoption and driving substantial business outcomes. Your innovative mindset and enthusiasm for deploying cutting-edge AI technologies will directly influence the evolution of work for some of the largest corporations globally.This role is crucial for our clients' success and the ongoing development of our products. Join our dynamic team to explore the frontiers of generative AI and contribute significantly to WRITER's objectives.This is a hybrid position based out of our San Francisco, Chicago, Austin, and New York City offices.