Jobs at OpenAI

Lead post-sales enablement for OpenAI products, including ChatGPT Enterprise and Agents. Design and deliver onboarding, workshops, advanced training, executive briefings, and adoption programs for business and technical audiences. Drive activation, sustained usage, product expansion, and measurable business value across enterprise customers. Develop reusable training assets and playbooks, gather customer feedback, identify adoption patterns, and collaborate with Sales, Solution Architects, Delivery Leads, and product teams.

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.

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.

Lead a team of senior support engineers handling complex technical escalations, production reliability, incident management, workload monitoring, alerting, and 24x7 coverage for strategic enterprise customers. Drive automation-first tooling, improve support processes, collaborate with Product and Engineering, influence product roadmaps, represent Support Engineering with customers, and contribute to hiring, strategy, and team culture.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access and Legal Operations. Implement least-privilege controls, audit trails, approval gates, and data minimization. Partner with Legal and operations to translate requirements into secure, auditable systems; own production reliability, observability, testing, incident response, and drive reusable privacy infrastructure.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.

As a Solutions Engineer in the Technical Success team, you will guide Digital Native customers in leveraging OpenAI's APIs to maximize business value, manage pre-sales needs, and ensure effective deployment of AI solutions across various applications.

The Senior Support Engineer will provide technical guidance to enterprise accounts, design support processes, and resolve complex technical issues, ensuring optimal customer experiences with OpenAI's API platform.

Own the full sales cycle to drive new and expanded advertising revenue. Prospect, qualify, and close complex deals against revenue targets; build account plans; structure and negotiate commercial agreements; create data-driven business cases; collaborate cross-functionally and partner with Customer Success for post-sale outcomes; maintain pipeline and forecasting.

This role involves designing and maintaining backend systems for data privacy compliance, collaborating with other engineers and legal advisors, and automating data processing tasks.

The AI Support Engineer will solve complex customer issues, provide technical support for OpenAI products, and improve internal processes using AI and scripting.

Lead onsite IT operations for the Dublin office and coordinate EMEA regional IT support. Provide frontline support, onboarding/offboarding, AV and event readiness, vendor and inventory management, workplace technology for office builds, executive/white-glove support, and drive documentation, workflows, and automation to scale support across offices and time zones.

Partner with customers to design, prototype, and deploy AI-enabled cybersecurity workflows using OpenAI models and tooling. Lead discovery, scope pilots, build demos/proofs, advise on safe implementation patterns, create reusable field assets, and provide product feedback across AppSec, cloud security, SOC/IR, vulnerability management, and related domains.