OpenAI

Communications

• Develop clear, credible external narratives around OpenAI’s safety research, including alignment, evaluations, preparedness, interpretability, and other areas connected to the safe development of frontier AI.
• Translate complex technical work into accessible stories without oversimplifying, overstating impact, or creating unnecessary alarm.
• Help define and reinforce OpenAI’s POV on key safety research topics and how they connect to OpenAI’s broader research roadmap and mission.
• Work directly with safety and alignment researchers to understand their work, identify the most important ideas, and help position those ideas publicly.
• Serve as a communications thought partner to researchers—helping them anticipate questions, clarify implications, and communicate with precision.
• Build communications plans that help researchers share their work through the right channels, at the right level of depth, and with the right context.
• Develop proactive storytelling opportunities across blogs, explainers, video, podcasts, events, and other channels beyond traditional media.
• Help identify creative ways to elevate safety research and make the work more legible to expert and non-expert audiences.
• Partner with research teams to plan communications for major papers, evaluations, model-related research, safety initiatives, and other technical publications.
• Collaborate with editorial, design, social, policy, and research teams on blogs, explainers, visuals, briefing materials, and supporting content.
• Ensure launches are grounded in evidence, appropriately scoped, and aligned with OpenAI’s safety, policy, and communications priorities.
• Build and maintain trusted relationships with science, technology, AI, and business journalists who cover frontier AI and safety research.
• Manage proactive and reactive media engagement related to safety research announcements, papers, collaborations, and emerging narratives.
• Prepare researchers and executives for interviews, briefings, events, and public appearances.
• Work closely with Product, Policy, Safety, Legal, Marketing, and other Communications teams to align safety research communications with broader company goals.
• Partner with teams managing crisis and reactive safety communications to ensure clear coordination while maintaining focus on proactive research storytelling.
• Help build a stronger communications muscle around safety research across the organization.
• Identify potential reputational, scientific, policy, or misinterpretation risks early.
• Develop mitigation strategies, Q&A, messaging guidance, and briefing materials for sensitive or high-profile safety research topics.
• Help ensure OpenAI communicates responsibly about frontier capabilities, limitations, uncertainty, and the role of ongoing safety research.

Research Communications Manager – Safety

Engineering Manager

• Build and lead a high-performing Identity Infrastructure team, going deep enough technically to set direction while empowering the team to own delivery.
• Define the strategy for identity platform as the policy plane for access across people, agents, workloads, services, clouds, and internal systems.
• Scale Access Manager for evolving human and agent lifecycles, making routine access automatic and sensitive access contextual, time-bound, and accountable.
• Build the access graph and resource catalog that make access decisions explainable, risk-aware, and grounded in ownership, sensitivity, environment, and usage.
• Replace broad standing privilege with risk-tiered access, so routine work stays fast, privileged access is narrow and observable, and break-glass is exceptional.
• Establish first-class authorization for agents and workloads, with delegated, action-scoped permissions, time-bound access, full attribution, and no credential sharing.
• Partner across Security, Infrastructure, Applied, Research, IT, and product to turn identity standards into systems teams trust and adopt.
• Operate identity infrastructure as a mission-critical platform, with clear reliability goals, safe rollouts, strong observability, healthy on-call, and rigorous incident learning.
• Measure success by safer, faster, and more accountable access: reduced unnecessary privilege, stronger governance, broader coverage, clearer auditability, and less friction for legitimate work.

Engineering Manager, Identity & Access Platform

Account Executive

• Manage a small number of key retail accounts, developing and executing strategies for a comprehensive account plan
• Lead large enterprise retail customers’ journeys from consideration to successful deployment
• Partner with solutions and research engineering to build and execute complex customer programs and projects
• Own a consumption revenue target
• Manage consumption revenue forecasts
• Analyze key account metrics to create reports and provide insights to internal and external stakeholders
• Closely monitor the retail landscape across UKI & North (customers, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of other teammates
• Support the development of company culture

Account Director – Large Enterprise, Retail

Artificial Intelligence

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
• Conduct technical enablement and configuration sessions across our broad product portfolio
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points
• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs
• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes
• Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement
• Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

AI Success Engineer

Operations

• Serve as OpenAI’s senior on-site hardware operations lead for server, GPU, storage, and rack-level infrastructure.
• Drive technical triage and resolution of complex hardware failures impacting production systems.
• Partner with Fleet Health Engineering to investigate recurring hardware issues, identify failure patterns, and improve fleet reliability.
• Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective and preventive action plans.
• Collaborate with Oracle operations teams and OEM vendors to coordinate repairs, replacements, upgrades, and hardware lifecycle activities.
• Establish and continuously improve hardware maintenance procedures, operational runbooks, and troubleshooting standards.
• Analyze hardware failure trends and operational metrics to identify reliability risks and improvement opportunities.
• Support new hardware introductions, validation activities, and production readiness reviews.
• Coordinate spare parts strategy and inventory planning with supply chain and operations teams.
• Partner with Hardware Engineering, Manufacturing, and Infrastructure teams to provide field feedback that improves future platform designs.
• Develop scalable operational standards and best practices that can be deployed across future Stargate campuses.
• Mentor technicians and partner teams on advanced troubleshooting methodologies and hardware operational excellence.

Datacenter Hardware Operations Technician Lead – Industrial Compute

Research Scientist

• Own and pursue a research agenda to improve the proactivity and ability of our models to further user goals.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
• Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product

Research Engineer / Research Scientist – Proactivity

Solutions Engineer

• Deliver an exceptional pre-sales customer experience.
• Provide technical expertise in the pre-sales process.
• Demonstrate how the ChatGPT business product can provide solutions to customers' needs.
• Serve as the first line of defense for security and compliance questions.
• Create and maintain documentation and guides related to pre-sales process.
• Develop and nurture strong customer relationships during evaluations and purchases.
• Foster customer advocacy and represent their voice with internal teams.
• Collaborate closely with the Sales and GRC teams for a seamless pre-sales experience.

DevOps Engineer

• Deeply embed with strategic platform customers as the technical lead
• Work with senior stakeholders to identify applications of GenAI in their industry
• Intervene to accelerate customer time to value through prototypes or strategic guidance
• Manage relationships with customers’ leadership to ensure successful deployment
• Contribute to open-source developer and enterprise resources
• Share knowledge, codify best practices, and publish notebooks
• Validate feedback to Product and Research teams

AI Deployment Engineer

Account Manager

• Originate, qualify, and advance complex strategic partnerships across K-12 and higher education, including school systems, universities, research organizations, ecosystem partners, and policymakers.
• Build and manage a research partnership pipeline that helps OpenAI generate credible evidence around AI’s impact on learning, teaching, adoption, engagement, and capability-building.
• Partner with internal research, product, policy, legal, privacy, communications, sales, solutions, and customer-facing teams to shape research-backed education programs from concept through execution.
• Help define priority learning questions, research partner criteria, pilot structures, evaluation models, and evidence-building opportunities that can inform Education GTM and product strategy.
• Structure strategic partnership, research, data, pilot, evaluation, and program agreements that balance adoption, evidence generation, responsible deployment, and institutional trust.
• Identify opportunities that create high impact across commercial growth, education outcomes, thought leadership, institutional credibility, and OpenAI’s mission.
• Translate approved research findings, pilot outcomes, and partnership learnings into high-leverage GTM assets, including case studies, deployment narratives, executive updates, sales proof points, strategic partner stories, and field-ready resources.
• Build repeatable partnership models, operating mechanisms, account expansion strategies, and playbooks that can scale across K-12 systems, higher education institutions, and priority markets.
• Help shape the external narrative around responsible, effective, and evidence-backed AI adoption in education.
• Lead through influence across internal and external stakeholders to move ambiguous, high-priority opportunities toward concrete commitments and measurable outcomes

Strategic Partnerships Lead, Education

Program Manager

• Lead cross-functional procurement transformation programs spanning Strategic Sourcing, P2P, Extended Workforce, T&E, Corporate Card, Risk, and Procurement Systems.
• Develop and maintain the Procurement transformation roadmap, partnering across teams to identify opportunities, prioritize initiatives, map dependencies, sequence work effectively, and align investments against strategic business objectives.
• Translate business needs into scalable requirements, partnering with Procurement SMEs and EPT to design processes, workflows, controls, reporting, and user experiences.
• Drive quarterly planning and execution, maintaining visibility into milestones, risks, dependencies, resource needs, and delivery timelines across multiple concurrent initiatives.
• Contribute directly to project delivery, including requirements gathering, process design, testing coordination, documentation, rollout planning, training, and change enablement.
• Partner with Procurement verticals to accelerate execution, helping teams define problems, structure workstreams, develop solutions, and move projects from idea to implementation.
• Lead governance and operating rhythms, including project reviews, leadership updates, status reporting, issue escalation, and decision tracking.
• Coordinate cross-functional implementations involving Procurement, Legal, Finance, Security, Privacy, Risk, and Enterprise Platform Technology teams.
• Develop executive-ready communications and reporting, translating complex programs into clear updates, recommendations, risks, and outcomes.
• Define success metrics and measure outcomes, leveraging data and insights to evaluate adoption, operational performance, process effectiveness, and business impact.
• Support continuous improvement efforts, identifying opportunities to streamline processes, improve user experiences, strengthen controls, and scale operations through automation, analytics, and AI.

Program Manager, Procurement Center of Excellence

Engineer

• Own technical delivery across multiple deployments from first prototype to stable production
• Build full-stack systems that deliver customer value and sharpen how we learn
• Embed closely with customer teams, understand their needs, and guide adoption of what you build
• Scope work, sequence delivery, and remove blockers early
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
• Contribute directly in the code when progress or clarity depends on it
• Codify working patterns into tools, playbooks, or building blocks that others can use
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve
• Keep teams moving through clarity and follow-through

Forward Deployed Engineer

Full-stack Engineer

• Design the primitives and protocols for an open agent ecosystem, enabling our users’ agents to make the best use of sites and services across the internet.
• Build a next-generation user experience to observe and control agents, across web, desktop, and mobile.
• Evolve our approach to token consumption across subscriptions and API customers.
• Execute on fast-paced projects in collaboration with research, design, data science and other product engineering teams.
• Work closely with our strategic customers and partners to grow the ecosystem.

Full Stack Software Engineer, Agent Enablement

Business Development Rep

• Own the partner relationship end-to-end. Be the primary point of contact internally and externally for OpenAI’s most important strategic partners.
• Define and drive joint strategy and roadmap alignment. Collaborate with product, engineering, finance, sales, legal to translate product and engineering priorities into partner roadmaps, milestones, and decision points.
• Technical diligence and partner strategy. Evaluate build/buy/partner options, understand where advantages/risks sit, and provide clear recommendations grounded in technical and business analysis (user experience, data sets, cost targets, silicon device HW/SW stack, timelines etc.).
• Structure and negotiate complex agreements. Lead negotiations with the partner, owning the lifecycle from initial deal structure through launch, expansion and renewal.
• Run operating rhythm and governance. Establish and lead QBRs, steering committees, and exec briefings. Unblock issues fast and hold both sides accountable to outcomes.
• Measure and communicate impact. Own the KPI framework and reporting: launch milestones, partner adoption, revenue or usage impact, ecosystem growth, strategic leverage, and partner health.
• Build trusted, long-term relationships with partner executives; influence roadmaps, investment decisions, and capacity allocation.

Corporate Business Development Lead

Backend Engineer

• Architect, build, and improve scalable backend systems and APIs.
• Drive performance, reliability, and safety across distributed services.
• Implement data storage, retrieval, compute, and integration solutions.
• Participate in long-term architectural planning and technical design reviews.
• Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.

Backend Software Engineer, Applied Foundations

• Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan
• Lead our enterprise prospects’ journeys from consideration to successful deployment
• Partner with solutions and research engineering to build and execute complex customer programs and projects
• Own a consumption revenue target
• Manage consumption revenue forecasts
• Analyze key account metrics to create reports and provide insights to internal and external stakeholders
• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of other teammates
• Support the development of company culture