OpenAI

Engineer

• Coordinate engineering execution across civil, electrical, mechanical, utility, and construction disciplines.
• Develop integrated engineering execution plans supporting self-build campus delivery.
• Coordinate utility providers, permitting agencies, consultants, contractors, and EPC partners throughout project execution.
• Lead engineering coordination for temporary power, permanent power, water systems, and supporting site infrastructure.
• Support project budgeting, engineering schedules, risk management, and technical planning.
• Coordinate engineering changes and resolve multidisciplinary design conflicts during construction.
• Optimize construction sequencing and engineering workflows to improve project delivery.
• Support infrastructure readiness activities leading into commissioning and operational handoff.
• Track engineering risks, action items, and technical decisions while communicating project status to leadership.
• Serve as the primary engineering interface between OpenAI technical leadership and external delivery partners.
• Drive continuous improvement across engineering coordination, construction execution, and project delivery methodologies.
• Support optimization of water usage, construction sequencing, and overall infrastructure efficiency across the self-build portfolio.

Project Engineer

Insurance

• Recruit, develop, and lead a high-performing team of Insurance Account Directors focused on large enterprise insurers across North America.
• Create a strong coaching culture with frequent deal reviews, account strategy sessions, ride-alongs, and structured 1:1s that elevate team performance.
• Define and refine the GTM strategy for insurance accounts, including account prioritization, executive engagement strategy, and territory planning.
• Drive disciplined pipeline generation, forecasting accuracy, and operational rigor across a complex enterprise sales motion.
• Guide teams through highly consultative, multi-stakeholder opportunities involving technology, security, compliance, legal, and procurement stakeholders.
• Help customers translate AI and API capabilities into measurable business outcomes across insurance use cases such as underwriting, claims operations, customer service, broker and agent enablement, risk assessment, workflow automation, and employee productivity.
• Lead teams selling into highly regulated environments with a deep understanding of insurance-specific compliance, governance, and data security considerations.
• Partner closely with Product, Solutions Architecture, Technical Success, Legal, Security, and Finance to help customers successfully deploy AI at enterprise scale.
• Provide structured feedback to Product and leadership teams on insurance customer requirements, competitive dynamics, industry trends, and feature gaps.
• Partner with Marketing on insurance-focused events, executive engagement strategies, and industry campaigns that generate qualified pipeline and deepen strategic relationships.
• Establish a culture of accountability, operational excellence, and customer obsession while maintaining a low-ego, highly collaborative team environment.

Enterprise Sales Manager, Insurance

Sales

• Recruit, develop, and lead a high-performing team of Account Directors focused on large enterprise banking institutions across North America.
• Create a strong coaching culture with frequent deal reviews, account strategy sessions, ride-alongs, and structured 1:1s that elevate team performance.
• Define and refine the GTM strategy for banking, including account prioritization, executive engagement strategy, and territory planning.
• Drive disciplined pipeline generation, forecasting accuracy, and operational rigor across a complex enterprise sales motion.
• Guide teams through highly consultative, multi-stakeholder opportunities involving technology, security, compliance, legal, and procurement stakeholders.
• Help customers translate AI and API capabilities into measurable business outcomes across banking use cases such as employee productivity, customer operations, risk and compliance, software engineering, knowledge management, and workflow automation.
• Lead teams selling into highly regulated environments with a deep understanding of banking-specific risk, governance, and data security considerations.
• Partner closely with Product, Solutions Architecture, Technical Success, Legal, Security, and Finance to help customers successfully deploy AI at enterprise scale.
• Provide structured feedback to Product and leadership teams on banking customer requirements, competitive dynamics, industry trends, and feature gaps.
• Partner with Marketing on industry-specific events, executive engagement strategies, and industry campaigns that generate qualified pipeline and deepen strategic relationships.
• Establish a culture of accountability, operational excellence, and customer obsession while maintaining a low-ego, highly collaborative team environment.

Enterprise Sales Manager, Banking

Civil Engineer

• Lead civil engineering strategy across Industrial Compute's self-build infrastructure portfolio.
• Partner with engineering consultants and EPC firms to develop civil and structural designs for hyperscale AI campuses.
• Drive continuous improvement of site design standards to reduce construction schedule, cost, and execution risk.
• Optimize grading, earthwork, drainage, foundations, utility routing, and constructability across multiple campuses.
• Develop structural standards supporting high floor loading, vibration control, durability, and long-term serviceability for AI infrastructure.
• Establish modular and prefabricated civil engineering approaches that improve repeatability and deployment speed.
• Coordinate closely with Mechanical, Electrical, Power Generation, Cooling, and Infrastructure Delivery teams throughout design and construction.
• Review engineering calculations, drawings, specifications, and consultant deliverables for technical quality and consistency.
• Support geotechnical investigations, constructability reviews, value engineering, and design optimization initiatives.
• Evaluate emerging construction methodologies and engineering technologies that improve speed, scalability, and reliability.
• Support engineering throughout construction, commissioning, and operational handoff.
• Help establish global civil engineering standards for future Industrial Compute campuses.

Mechanical Engineer

• Oversee building and MEP design, operation, and maintenance, including reviewing building and MEP drawings and proposals across all project phases.
• Lead operational activities for large-scale data center campuses, from early design phases through delivery and daily operation.
• Operate and maintain critical data center facilities and equipment, ensuring reliability and performance.
• Collaborate with external vendors to select, procure, and manage critical equipment, such as generators, UPS, chillers, and CDUs.
• Provide technical expertise on all aspects of data center building, equipment, and operational systems, ensuring alignment with best practices.
• Ensure seamless integration of power, cooling, networking, and construction systems into overall data center design and operation.
• Contribute to developing data center operational workflows from design requirements through commissioning, pilot testing, and deployment readiness.
• Contribute to data center operations projects (hardware and software readiness) from planning through deployment.
• Provide technical direction to teams and vendors, ensuring alignment with industry best practices and standards.
• Select and manage external contractors and consultants and foster strong vendor relationships.
• Oversee quality assurance and resolve risks to meet safety and operational standards.

Data Center Design Engineer, Electrical – Industrial Compute

Account Manager

• Help drive the operations of the U.S. State Policy and Partnerships team, including planning rhythms, team communications, trackers, briefings, and meeting cadences.
• Support execution of OpenAI’s state and local policy strategy across all 50 states with a particular focus on high-priority jurisdictions.
• Work across OpenAI teams to advance state-level priorities related to AI policy, kids safety, guardrails for advanced AI models, workforce, education, infrastructure, economic opportunity, government modernization, and other issues.
• Track legislative, regulatory, political, and stakeholder developments across states and help the team anticipate risks and opportunities.
• Shepherd policy analysis, legislative reviews, briefing materials, talking points, and strategic recommendations through OpenAI’s internal review and approval processes.
• Translate complex technical, legal, and policy issues into clear, accessible materials for policymakers, internal leaders, and external stakeholders.
• Help prepare OpenAI leaders for engagements with governors, state legislators, mayors, attorneys general, agency leaders, community organizations, universities, workforce partners, and other stakeholders.
• Represent OpenAI in external meetings, conferences, coalitions, and other forums.
• Identify opportunities for OpenAI to build trusted relationships and demonstrate the practical benefits of AI through public-private partnerships, community engagement, and state and local initiatives.
• Coordinate with consultants, trade associations, coalitions, and external partners as needed.
• Handle sensitive matters with discretion, sound judgment, and high integrity.

State Policy & Partnerships Manager, Global Affairs

• Develop strategies and shape OpenAI’s approach to priority EU policy issues
• Drive campaigns as part of the European team
• Develop and manage relationships with key stakeholders across the Brussels policy ecosystem
• Influence policymakers, regulators, civil society groups, and industry associations
• Prepare leaders for engagements with EU officials
• Represent OpenAI in private and public forums

EU Policy & Partnerships Manager

Operations

• Administer compensation plans, quotas, credits, adjustments, exceptions, and payout processes.
• Design and maintain scalable processes that ensure accurate and efficient compensation administration.
• Implement and maintain compensation policies, ensuring that all program rules are consistently applied across GTM teams.
• Manage field support triaging for compensation-related inquiries, streamlining communication between GTM personnel and back-office teams.
• Execute recurring compensation payout cycles, reconciliations, and operational close processes.
• Execute compensation letter generation, distribution, tracking, and record management.
• Partner with Legal, HR, and Finance to support governance, approvals, compliance, and audit requirements.
• Develop reporting, dashboards, and quality assurance processes to improve visibility and accuracy.
• Serve as a key point of contact for compensation-related field questions and inquiries.
• Build and maintain support resources, FAQs, documentation, and intake processes.
• Partner with Enablement and Sales Leadership to improve understanding, adoption, and trust in compensation programs.

Compensation Operations Manager

DevOps Engineer

• Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
• Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
• Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
• Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
• Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
• Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
• Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
• Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

AI Deployment Engineer – Enterprise

• Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs.
• Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
• Experiment and prototype solutions with and for your customers.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
• Contribute to our open-source developer and enterprise resources.
• Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing cookbooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

AI Deployment Engineer

• Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases.
• Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools.
• Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
• Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects.
• Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps.
• Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
• Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows.

AI Deployment Engineer, Cyber

Creative Strategist

• Define and lead the brand and creative vision for OpenAI Business across campaigns, launches, customer stories, events, executive programs, sales materials, partner moments, and digital channels.
• Build creative systems that make OpenAI’s business story clear, distinct, and unmistakably OpenAI.
• Translate complex AI products, technical capabilities, customer use cases, and market shifts into creative work that business and technical audiences can understand and remember.
• Partner with Product Marketing, Communications, Events, Field, Sales, Partnerships, Product, Research, and Consumer Brand to create connected narratives and experiences.
• Set the creative bar across writing, design, storytelling, film, experiential, digital, and presentation work.
• Lead major creative initiatives from strategy through execution, making sure the work stays sharp as business priorities, stakeholder input, and timing change.
• Build and lead a high-performing team of writers, designers, creative directors, producers, strategists, agencies, and production partners.
• Bring AI deeply into the creative process, from concepting and prototyping to production, testing, localization, and team operations.
• Serve as a creative advisor to senior leadership on how OpenAI Business shows up with customers, partners, employees, and the broader market.
• Balance long-term brand building with near-term business needs across awareness, trust, adoption, engagement, and revenue impact.

Head of Creative, Business

Revenue Operations

• Own end-to-end accounting and controllership for Ads revenue, including revenue recognition, contra-revenue, rev-share, incentives, credits, rebates, and related close activities under ASC 606.
• Design and execute scalable month-end and quarter-end close processes for Ads, ensuring accurate, complete, and timely reporting supported by reconciliations, flux analysis, and reviewer-ready evidence.
• Design accounting and control frameworks for global Ads expansion, including new currencies, billing entities, tax/invoice localization, FX, AR, and GL mapping.
• Translate complex commercial, product, and contractual terms into operational accounting workflows with clear policy alignment and scalable execution.
• Partner with Product, Engineering, Finance Engineering, Data, and Billing teams to define, validate, and audit Ads measurement logic such as impressions, clicks, billable events, usage, rev-share, and invoice data.
• Identify material risks, separate systemic issues from immaterial noise, and communicate substantiated recommendations to Finance and business leaders.
• Use AI, data tooling, and automation to improve close speed, exception management, reconciliation quality, and control execution while preserving appropriate governance.
• Support system implementations and enhancements across Oracle Fusion, data warehouses, billing integrations, ads platforms, and related finance tooling.
• Lead audit support, documentation, walkthroughs, issue resolution, and remediation for Ads revenue accounting.

Revenue Accounting Manager, Ads

Product Manager

• Translate user and product goals into clear model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation.
• Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions.
• Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost.
• Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack.
• Create reusable platforms and operating systems for evaluation, experimentation, and signal collection so that new capabilities improve faster over time.
• Use concrete product failures and emerging user needs to identify gaps, form hypotheses, and shape the next wave of research and product investment.

Project Engineer

Enterprise Sales Manager, Insurance

Enterprise Sales Manager, Banking

Civil Engineer

Data Center Design Engineer, Electrical – Industrial Compute

State Policy & Partnerships Manager, Global Affairs

EU Policy & Partnerships Manager

Compensation Operations Manager

AI Deployment Engineer – Enterprise

AI Deployment Engineer

AI Deployment Engineer

AI Deployment Engineer, Cyber

Head of Creative, Business

Revenue Accounting Manager, Ads

Product Manager – Core Models