Jobs at OpenAI

The role involves developing enterprise sales strategies, engaging with C-Suite stakeholders, and shaping enterprise opportunities aligned with AI adoption. Responsibilities include discovery and account strategy execution, utilizing AI-enabled workflows for prospecting.

The role involves developing core skills in enterprise sales, fostering executive engagement, and advancing complex enterprise opportunities. Progression is based on performance, with responsibilities including account strategy, outbound strategies, and stakeholder mapping.

Build and manage partnerships with workforce development organizations and institutions to launch and scale AI-focused workforce initiatives and certifications. Design and implement programs, set goals and metrics, coordinate cross-functional stakeholders, monitor outcomes, represent OpenAI externally, and produce playbooks, trainings, and thought leadership to expand AI literacy and economic opportunity.

Qualify and advance enterprise AI opportunities by converting product usage, pilots, and inbound demand into high-conviction deals. Partner with Account Directors on account strategy, run targeted outbound and discovery, map stakeholders, contribute pipeline reviews, and build AI-enabled GTM workflows to scale prospecting and qualification.

Owner of enterprise Insurance accounts, building executive relationships and strategic account plans. Lead complex sales cycles, design AI pilots with solutions and research engineering, ensure compliant deployments with security/privacy teams, manage revenue and consumption targets, forecast pipeline, monitor regulatory trends, and represent OpenAI at industry events while collaborating cross-functionally to scale go-to-market motions.

Conduct research and engineering to improve model capabilities (personalization, instruction following, tool-use). Own research agenda, build robust evaluations, implement and debug code across the ML research stack, and collaborate with product and research teams to deploy models to users.

Lead and operationalize OpenAI's revenue operating model and GTM planning. Drive annual and quarterly planning, segmentation, coverage, capacity, quota and compensation design. Align cross-functional stakeholders, build governance and timelines, identify automation opportunities, produce executive-ready recommendations, and monitor program outcomes to improve future cycles.

Lead on-site technical authority for datacenter hardware reliability and fleet health. Troubleshoot complex hardware failures, drive root cause analysis and corrective actions, coordinate with vendors and cloud providers, establish maintenance standards and runbooks, support new hardware introductions and spare parts strategy, mentor technicians, and analyze failure trends to improve reliability across large-scale GPU and server deployments.

Own and harden recruiting systems (primarily Ashby and connected HRIS workflows). Design/configure stages, fields, permissions, approvals, integrations, and guardrails. Improve data quality, automate fixes, coordinate releases, testing, documentation, and cross-functional remediation to strengthen reliability, auditability, and operational governance.

Lead and scale the partner operating system: own partner systems (CRM/PRM), processes, governance, integrations, and reporting. Build partner data strategy, KPI frameworks, dashboards, and forecasting. Drive program design (incentives, onboarding, tiering), quota-setting, and continuous improvement. Manage cross-functional alignment and lead a global partner operations, systems, and analytics team to enable scalable, data-driven partner execution.

Lead origination, structuring, and negotiation of complex AI partnerships in the semiconductor industry. Identify high-value opportunities, design multi-project programs with technical teams, create commercial narratives and proposals, secure executive alignment, and drive deals from concept through contract signature and program success.

Manage high-profile enterprise events end-to-end: planning, registration, vendor coordination, onsite production, guest experience, budgets, safety protocols, cross-functional alignment, and post-event analysis to measure ROI and improve future events.

Lead executive relationships and sales for strategic life sciences accounts. Develop account plans, identify AI use cases, lead complex enterprise sales, partner cross-functionally to design pilots, manage revenue/forecasting, and ensure compliant deployments in regulated environments.

Lead microarchitecture and RTL design of on- and off-chip interconnects (NoC, switches, bridges, protocol adapters) for a custom AI accelerator SoC. Drive RTL implementation, verification strategy, performance analysis, physical-design convergence, bring-up, and production readiness. Mentor junior engineers, manage third-party IP engagements, and collaborate across architecture, verification, physical design, firmware, and post-silicon teams to deliver scalable, high-performance interconnect fabrics.

Partner with customers to design, prototype, and deploy AI-enabled cybersecurity workflows using OpenAI models and tooling. Provide technical leadership across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, cloud security, identity, and GRC automation. Build demos, pilots, and reference architectures; define success criteria, data needs, integrations, and safety guardrails; and translate executive outcomes into practitioner-level implementations while producing reusable field assets and product feedback.

Partner with customers post-sale to design, prototype, and deploy enterprise-grade Generative AI solutions using OpenAI technologies. Advise on architecture, prioritize high-value use cases, build prototypes, codify best practices, and collaborate cross-functionally to drive adoption and scale.

The AI Success Engineer will oversee post-sales relationships with customers to drive account health, adoption, and value realization through technical enablement and configuration efforts, while facilitating communication between customers and OpenAI's internal teams.

As a Technical Deployment Lead, you will manage the deployment of AI systems, ensuring timely delivery and customer adoption, while translating technical requirements into actionable plans.

The Business Platform Engineer will design and develop backend services and APIs, focusing on scalable systems for supply chain workflows at OpenAI, while ensuring reliability and security.

The role involves advancing methods for preparing and understanding multimodal datasets, improving pipelines, and measuring dataset impacts on model performance.