Jobs at OpenAI Deployment Company

Build and grow strategic enterprise customer relationships for AI deployment. Responsibilities include identifying transformational opportunities, qualifying and scoping engagements, developing business cases, coordinating technical and deployment teams, leading commercial agreements, and expanding accounts based on demonstrated value. The role requires executive communication, customer partnership, commercial ownership, quantitative rigor, and the ability to navigate ambiguous, complex engagements.

Lead technical delivery for complex, security-cleared customer AI deployments from prototype through production adoption. Translate business goals into delivery plans, coordinate engineering, research, product, and customer teams, manage dependencies and risks, establish readiness criteria, track adoption and impact, and drive secure implementation in approved environments. The role also codifies reusable deployment patterns, supports change management, and communicates progress through approved channels.

Lead end-to-end technical deployments for enterprise and cleared customers. Build production frontend and backend systems, reusable deployment capabilities, integrations, testing, observability, and human-review workflows. Partner with customer security and infrastructure teams on restricted environments, deployment readiness, release procedures, and operational handoff. Coach teammates, capture reusable practices, troubleshoot with limited tooling, and translate customer insights into product feedback. The role requires an active U.S. government clearance and up to 50% travel.

Lead DeployCo’s global information security function by defining strategy, building security capabilities and teams, securing cloud, applications and AI systems, managing incident response, and preparing for audits and certifications. Partner with engineering, delivery, legal and commercial teams on customer assurance, supplier risk and data protection. Advise executives and the board on risk, oversee security investments, and establish practical controls for secure AI adoption and enterprise deployments.

Build and own DeployCo’s finance data foundation for AI-native FP&A. Responsibilities include developing finance data pipelines and models, ensuring data quality, analyzing revenue, margins, pipeline, workforce capacity, and variances, supporting budgeting and forecasting, delivering dashboards and management reporting, and using AI tools to automate workflows. The role partners with FP&A, Accounting, IT, Engineering, and business teams while maintaining reliable, documented finance datasets.

Build and grow strategic cybersecurity customer relationships for AI deployment engagements. Responsibilities include developing commercial opportunities, qualifying and scoping engagements, leading discovery and commercial processes, coordinating technical and deployment teams, managing senior enterprise relationships, and identifying opportunities to expand customer impact through demonstrated value.

Build and grow strategic enterprise relationships within the life sciences sector. Responsibilities include identifying AI transformation opportunities, qualifying and scoping engagements, developing business cases, coordinating technical discovery, leading commercial agreements, and guiding deployments. The role partners with OpenAI account teams, senior customer leaders, legal, finance, and technical teams while using customer insights to expand account impact.

Own the vision, strategy, and roadmap for DeployCo’s internal platform spanning staffing, finance, recruiting, sales, and operations. Redesign workflows using AI and automation, partner with engineering and design to deliver reliable products, shape data and reporting capabilities, establish security and access controls, and drive adoption through feedback and usage metrics. The role requires balancing strategic direction with hands-on product execution, technical collaboration, prototyping, and continuous improvement.

Leads technical delivery for complex enterprise AI deployments, translating business goals into delivery plans, coordinating cross-functional and customer teams, managing dependencies and risks, and guiding solutions from prototype through production adoption. The role owns success criteria, impact measurement, readiness, change management, reusable implementation patterns, and field insights while partnering with engineers, researchers, Product, Customer Success, and executive stakeholders.

Owns day-to-day operations and workplace experience for the Singapore office. Responsibilities include office administration, vendor and building management, employee and visitor experience, onboarding, events, leadership support, team engagement, process improvement, and operational coordination across APAC and global teams. The role also uses AI and technology to automate workflows and improve workplace operations.

Build and grow strategic enterprise customer relationships for AI transformation engagements. Responsibilities include identifying opportunities, leading qualification and discovery, coordinating technical scoping, guiding commercial agreements, partnering with OpenAI account teams, and expanding relationships based on demonstrated customer value.

Lead the architecture, development, evaluation, and production deployment of enterprise AI systems. Build agentic applications using LLMs, retrieval, APIs, orchestration, data systems, and cloud infrastructure. Guide engineers, mentor teams, translate customer workflows into reliable solutions, and establish production, monitoring, safety, and evaluation standards. Partner with customer, product, and research stakeholders while converting successful deployment patterns into reusable architectures and platform assets.

Source and engage exceptional engineers for Forward Deployed Engineer roles. Develop creative sourcing strategies, conduct personalized outreach and initial candidate conversations, build talent pools, and use pipeline data and feedback to improve recruiting effectiveness. Partner with recruiters and hiring managers to refine candidate profiles, test sourcing tools, and establish repeatable approaches for attracting technical talent.

Build and maintain integrated financial forecasts, pipeline reporting, budgets, long-range plans, and headcount models. Analyze profitability, pricing, unit economics, investment decisions, and M&A opportunities. Partner with Finance, GTM, Revenue Operations, Delivery, People, and Data teams to reconcile assumptions and deliver recommendations. Develop AI-enabled forecasting and reporting workflows while supporting management, board, and investor reporting.

Support two senior leaders by managing complex calendars, meetings, recruiting and customer engagements, travel, briefing materials, action tracking, and follow-through. The role requires anticipating needs, improving recurring workflows, handling sensitive information discreetly, and coordinating effectively with Operations, peer executive business partners, and leadership teams in a rapidly changing AI deployment environment.

Leads technical delivery of complex cybersecurity AI deployments from prototype through production adoption. Coordinates engineers, researchers, product teams, and enterprise customers; translates business objectives into delivery plans; manages dependencies, risks, scope, and readiness; maps security workflows; measures value and adoption; and develops reusable implementation patterns. The role requires customer-facing technical leadership, cybersecurity fluency, enterprise deployment experience, and practical knowledge of AI and LLM systems.

Lead high-stakes customer cybersecurity deployments from problem definition through resolution. Build AI security workflows, integrate customer security systems with access controls and human oversight, and develop reusable deployment tools and playbooks. Act as a player-coach, guide deployment strategy, mentor team members, identify risks, and translate field experience into product and research feedback. The role requires production engineering across frontend and backend systems, strong cybersecurity expertise, and up to 50% travel.

Build and own DeployCo’s global travel and expense program, including policies, supplier relationships, traveler support, booking workflows, corporate cards, expense operations, reporting, and controls. Support frequent client travel and disruptions, especially for EMEA-origin travel. Partner with Finance, Accounting, providers, and business leaders to improve service, manage costs, allocate expenses by client or project, and scale the program through data, automation, and AI.

DeployCo invites established teams of two to five people to apply together for enterprise AI deployment roles. Teams will build agentic applications and workflow tools with OpenAI models, work directly with customers, make architecture and reliability decisions, prototype and productionize solutions, and improve reusable deployment practices. Members are assessed and hired individually into roles aligned with their skills. Applicants should have delivered complex products or systems together and demonstrate strong technical, product, data, AI, or delivery capabilities.

Build and lead DeployCo’s internal IT function from the ground up. Design and administer identity, endpoint, SaaS, networking, support, asset, and collaboration systems; automate employee lifecycle workflows; partner with Security and Engineering on controls and technical operations; manage vendors, budget, procurement, and hardware logistics; and hire and coach a hands-on IT team.