OpenAI

Security Engineer

• Advise security and company leadership on strategic risks, connecting technical security priorities to broader business, policy, geopolitical, regulatory, and operating realities.
• Produce strategic analysis and contribute to scenario planning and executive briefings on cyber, geopolitical, policy, regulatory, and ecosystem developments, translating them into decision-ready recommendations for OpenAI’s security posture, resource priorities, and operating decisions.
• Monitor and interpret external events, policy shifts, geopolitical developments, regulatory changes, and ecosystem dynamics relevant to OpenAI’s security posture and operating environment.
• Provide strategic risk and security input into scenario-planning exercises for high-consequence questions, including model deployment, regional expansion, sensitive partnerships, and strategic threat evolution.
• Build and maintain trusted relationships with policymakers, researchers, think tanks, academics, national security practitioners, technology leaders, and other external experts.
• Help develop credible external positions and executive materials for government engagements, conferences, and other high-stakes forums.

Senior Strategic Risk Advisor, Security Strategy – Influence

Conversion Rate Optimizer

• Lead narrative development and presentation design for CRO-led strategic events, executive briefings, and key customer engagements
• Translate complex product, strategy, and customer insights into clear, compelling visual and written stories
• Bring storytelling to life through product demos and interactive experiences—showcasing OpenAI capabilities in ways that are tangible, engaging, and memorable
• Bring a strong point of view on what “great” looks like—raising the bar for craft in how ideas are communicated, experienced, and remembered
• Work closely with the Chief of Staff to the CRO to translate strategic initiatives into clear, compelling narratives and executive-ready materials for internal and customer-facing moments
• Lead “customer zero” adoption of OpenAI technologies—identifying, prototyping, and scaling high-impact use cases that transform how the CRO organization operates
• Prototype and develop lightweight custom GPTs and internal apps that enhance productivity, unlock new workflows, and showcase how OpenAI technologies can be applied across the Office of the CRO & GTM teams
• Develop narratives and examples that demonstrate how these technologies can be applied in real-world customer and internal contexts
• Serve as a bridge between product capabilities and real-world GTM application, translating innovation into tangible business impact
• Partner closely with the CRO and Chief of Staff to shape how OpenAI’s GTM organization contributes to the broader conversation on AI, go-to-market transformation, and the future of work
• Translate internal insights and customer learnings into thoughtful, differentiated perspectives
• Help define how the Office of the CRO shows up externally through clear, consistent, and high-quality communication
• Partner cross-functionally with Sales, Marketing, Product, Research, and Communications to align messaging and deliver cohesive experiences

Visual Storytelling Lead

• Operationalize OpenAI for Government’s significant role in the policy and governance process for evaluating high-risk national security use cases, including defense and intelligence applications.
• Develop clear criteria and frameworks to guide decision-making, ensuring consistency and reducing reliance on ad hoc or case-by-case judgments.
• Partner with internal teams to assess risks associated with proposed deployments and identify appropriate mitigation strategies.
• Support leadership in making informed decisions that balance mission impact, safety, and human rights considerations.
• Collaborate with research and product teams to integrate human rights considerations into model design, evaluation, and deployment.
• Help identify and characterize patterns of human rights risk—including those beyond traditional areas such as surveillance and privacy.
• Support development of systems and safeguards that enable models to recognize and appropriately respond to high-risk or rights-sensitive use cases.
• Contribute to efforts exploring how AI can be used to reduce harm, including applications that improve civilian protection in conflict.
• Expand OpenAI’s red teaming efforts to include robust human rights expertise.
• Convene external experts across domains such as armed conflict, civilian protection, transnational repression, and vulnerable populations.
• Build and maintain relationships with human rights organizations, multilateral institutions, and expert communities.
• Represent OpenAI in external engagements related to human rights and responsible AI deployment.
• Facilitate dialogue with stakeholders to understand concerns and expectations and incorporate those insights into OpenAI’s work.
• Serve as a resource to leadership and cross-functional teams on human rights considerations in high-stakes contexts.
• Support development of internal materials, training, and guidance to build company-wide fluency on human rights issues.
• Help establish frameworks for monitoring the real-world human rights impacts of deployed systems.
• Collaborate with cross-functional teams to respond to and investigate incidents or concerns.
• Ensure lessons learned are incorporated into future governance, product, and policy decisions.

Human Rights Lead – Responsible Deployment

Financial Planning and Analysis

• Partner with Strategic Finance and GTM Leadership to translate company financial plans into regional and segment-level targets, investment priorities, and operating plans
• Build investment and resourcing plans across GTM to ensure capacity is aligned with strategic priorities and supports our financial plan
• Own attainment, productivity, and performance analyses to identify risks, opportunities, and areas for operational improvement
• Translate top-down plans into individual field targets that drive accountability, motivation, and performance management across the revenue organization
• Support bi-annual planning cycles end-to-end, driving cross-functional alignment across Finance, GTM Leadership, Field Operations, Data, and Enablement
• Develop data-driven recommendations that guide GTM strategy, including segmentation and org design
• Serve as a trusted strategic partner to GTM Leadership, balancing analytical rigor with strong stakeholder management and organizational influence

GTM Strategic Planning Analyst

Full-stack Engineer

• Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments.
• Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments.
• Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems.
• Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput.
• Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens.
• Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity.
• Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes.

Taas Software Engineer

Marketing

• Build and execute a marketing strategy that supports the full enterprise buying journey
• Develop narratives that effectively communicate the value of OpenAI's products to enterprise buyers, emphasizing how our AI solutions address their specific needs and challenges
• Organize targeted events and meetings to shorten the sales cycle and increase the probability of closing deals
• Establish core pursuit frameworks for how we prioritize which enterprises and verticals we focus on
• Evolve our corporate narrative on how we communicate the value of OpenAI to enterprises
• Conduct research on our target personas to understand the challenges their facing; use the insights to inform our narratives and product roadmaps

Enterprise Field Marketer

Copywriter

• Lead and shape storytelling across brand campaigns, product launches, product experiences, and integrated creative work
• Own narrative direction for key initiatives and creative workstreams
• Translate OpenAI’s products, features, and use cases into emotionally resonant, human-centered narratives
• Develop campaign concepts, launch narratives, messaging frameworks, and story arcs that align with brand strategy
• Write across launch moments, product pages, social, CRM, web, onboarding, lifecycle, and other touch points
• Build scalable voice systems that create consistency across channels while preserving craft
• Partner deeply with design, motion, production, product, marketing, comms, engineering, and agency teams to bring ideas to life
• Collaborate cross-functionally to ensure narrative consistency, clarity, and impact
• Manage multiple complex projects simultaneously with clarity and confidence
• Evolve and steward OpenAI’s voice and tone across channels and experiences
• Present work confidently to senior leadership and provide strategic narrative input into campaign planning and creative development
• Raise the standard of writing craft across the organization, championing simplicity, precision, and obsessive attention to detail

Copywriter – Creative Studio

Engineer

• Build optimization models for compute allocation, workload scheduling, and cluster utilization.
• Develop planning systems that balance supply, demand, cost, latency, and reliability constraints.
• Create forecasting frameworks for GPU demand, infrastructure growth, and capacity needs.
• Design decision tools for allocating compute across internal teams, products, and strategic priorities.
• Partner with architecture, infrastructure engineering, finance, and operations teams to translate business needs into mathematical models.
• Integrate multiple operational data sources into planning systems and optimization workflows.
• Improve utilization of GPUs, networking, power, cooling, and storage infrastructure.
• Analyze tradeoffs across first-party data centers, cloud providers, and hybrid environments.
• Build dashboards, metrics, and operational tooling for capacity decision-making.
• Lead ambiguous, cross-functional initiatives that improve infrastructure efficiency at scale.
• Present recommendations clearly to technical leaders and executives.
• Continuously refine models based on changing workloads, supply constraints, and business priorities.

Compute Optimization Researcher – Engineer

Crypto

• Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity.
• Convert delivered power, space, and hardware capacity into production-ready token throughput.
• Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding.
• Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.
• Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines.
• Identify bottlenecks between physical delivery and usable compute output, then lead resolution.
• Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs.
• Develop repeatable deployment models for future industrial compute expansion.

Lead, Tokens-as-a-Service

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management
• Build software abstractions that unify multiple clusters and present a seamless interface to training workloads
• Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale
• Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles
• Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure
• Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load

Software Engineer, Compute Infrastructure

Infrastructure Engineer

• Build and maintain infrastructure for large-scale model training and experimentation.
• Design APIs and interfaces that make complex training workflows easier to express and harder to misuse.
• Improve reliability, debuggability, and performance across training and data pipelines.
• Debug issues spanning Python, PyTorch, distributed systems, GPUs, networking, and storage.
• Write tests, benchmarks, and diagnostics that catch meaningful regressions.

Research Infrastructure Engineer, Training Systems

Engineering Manager

• Lead and grow a small team building applied AI systems for internal operations
• Design and build AI-powered automation systems in close proximity to customers
• Stay hands-on in architecture and implementation across the full stack
• Develop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systems
• Deploy systems directly to internal users and close customers to iterate rapidly based on real-world feedback
• Engage frequently with scaled workforces to understand needs and validate solutions
• Create systems for visibility and learning in hybrid workforces
• Partner with product, research, and ops teams daily

Engineering Manager, Cooperative Systems

Program Manager

• Build and improve tooling that supports infrastructure capacity planning, forecasting, allocation, and scenario planning.
• Partner with capacity planning teams to understand current workflows, pain points, data dependencies, and opportunities for automation.
• Translate business and operational planning needs into clear technical requirements for internal tools and systems.
• Develop or coordinate development of dashboards, planning models, workflow automations, and system integrations.
• Create reliable data flows across capacity, demand, supply, hardware availability, deployment timelines, and infrastructure readiness.
• Help move planning from spreadsheet/manual workflows toward scalable systems-based processes.
• Work cross-functionally with engineering, finance, supply chain, data center, and operations teams to ensure planning tools reflect real execution constraints.
• Identify gaps in current planning logic, data quality, tooling coverage, and process ownership.
• Drive alignment on planning definitions, operating metrics, data sources, and reporting cadences.
• Support leadership decision-making by enabling clearer visibility into capacity risks, tradeoffs, and execution status.
• Build repeatable processes that allow capacity planning to scale with OpenAI’s infrastructure growth.

Capacity Planning – Tooling Program Manager

Recruitment

• Take ownership of the scheduling process, end to end, for evergreen and opportunistic hiring needs.
• Act as a partner for recruiting ops problems and help us find solutions through a mix of data, tools, and collaboration.
• Greet candidates onsite in the office to provide a welcoming interview experience.
• Be the primary scheduling and interview planner for various Recruiters and Hiring Managers across our teams.
• Use our tools like Ashby, Guide, ChatGPT, G-Suite, and others to uphold a timely and positive hiring experience and process.
• Have the ability to problem solve and adapt to an ever-changing environment while maintaining confidentiality and discretion.
• Manage clear, concise, timely, and professional communication with candidates and hiring partners in written and verbal form.
• Handle candidate reimbursement & travel (domestic and international).
• Work with our Executive Operations team to support and improve candidate experience and management of senior and executive level candidates.

Recruiting Coordinator

Platform Engineer

• Designing, building, and optimizing scalable distributed systems using cloud-native technologies and modern service-oriented architectures.
• Developing backend applications, integrations, APIs, and data services that support core supply chain operations and workflows.
• Owning technical delivery across the software lifecycle, from design and implementation through testing, deployment, and production support.
• Improving system reliability, performance, observability, and security across business-critical platforms.
• Partnering closely with product and business stakeholders to deliver robust solutions with a high degree of ownership.