Jobs at OpenAI Deployment Company

Build and lead DeployCo’s Revenue Operations function, establishing forecasting, pipeline governance, capacity planning, compensation operations, revenue analytics, deal operations, CRM architecture, and executive reporting. Partner with leadership across GTM, Finance, Legal, Product, Delivery, Data, and Systems to create scalable commercial processes, improve decision-making, and support enterprise AI deployment growth.

Build and scale cloud and consulting partnerships, defining partnership strategy, joint offerings, commercial models, agreements, and operating processes. Generate measurable pipeline, revenue, adoption, and expansion through partner programs. Lead cross-functional initiatives across legal, finance, sales, engineering, and delivery while managing executive relationships, negotiating complex agreements, and translating technical requirements into effective partnership decisions.

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.

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.

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.

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.

Build and lead DeployCo’s legal function across commercial, corporate, employment, and regulatory matters. Negotiate enterprise agreements, establish governance and compliance frameworks, support financing and M&A, manage OpenAI intercompany arrangements and outside counsel, improve contracting processes, and advise executives on legal risk and strategic decisions while enabling rapid growth.

Serve as technical lead for high-stakes enterprise AI deployments, owning customer problems from definition through resolution. Build reusable frontend and backend capabilities, guide deployment strategy, and standardize successful delivery patterns into tools and playbooks. Lead high-pressure projects from prototype to production, provide product and research feedback, and operate as a player-coach helping grow the deployment team. The role is hybrid in San Francisco or New York City and requires up to 50% travel.

Build and lead DeployCo’s Revenue Operations function, including forecasting, pipeline governance, capacity planning, compensation operations, revenue analytics, deal operations, and commercial systems. Establish CRM architecture, operating rhythms, executive reporting, and cross-functional planning processes. Partner with Finance, GTM, Legal, Product, Delivery, Data, and Systems teams to improve commercial execution and scale an AI-native enterprise deployment business.

Leads complex customer AI deployments from planning through production adoption. Translates business goals into technical delivery plans, coordinates engineering, research, product, and customer teams, manages dependencies and risks, and drives readiness, change management, KPI tracking, and adoption. The role also develops reusable implementation patterns and field insights to improve future deployments and product priorities.

Own DeployCo’s acquisition strategy and execution from thesis development, sourcing, diligence, valuation, negotiation, signing, and close through post-close integration. Build acquisition and integration playbooks, governance, and operating models while coordinating Finance, Legal, People, IT, Recruiting, Security, delivery leaders, and OpenAI stakeholders. Lead organizational design, talent retention, communications, systems integration, value capture, executive materials, and pipeline development.