OpenAI

Program Manager

• Build and scale repeatable education programs for new product launches and product updates.
• Translate complex product information into practical use cases, demos, quickstarts, customer stories, and adoption guidance.
• Partner closely with Product, Product Marketing, Marketing, Developer Experience, Technical Success, Solutions Architecture, and Customer Education teams to align educational efforts.
• Create customer-facing education packages that support adoption before, during, and after major product releases.
• Develop frameworks that help determine the right educational approach for different product moments and customer audiences.
• Gather customer signals, usage data, and feedback from customer-facing teams to continuously improve educational programs.
• Identify and highlight compelling customer use cases and success stories that accelerate adoption.
• Design scalable workflows for producing high-quality educational content in a fast-moving product environment.
• Measure the effectiveness of education initiatives and their impact on customer engagement and product adoption.
• Help establish long-term operating models and cross-functional processes that support sustainable growth in customer education.

Customer Education Program Manager, New Products

Security Engineer

• Provide biosecurity and life sciences policy advice to technical and product teams based on an understanding of model capabilities, biological R&D workflows, abuse pathways, and the practical needs of legitimate scientific users.
• Evaluate bio-relevant product launches and model capabilities, including how they may support beneficial biological research, public health, clinical education, drug discovery, biosecurity, and other life sciences use cases, as well as how they could be misused by malicious or irresponsible actors.
• Translate biological misuse risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, internal implementation guidance, and reviewer SOPs.
• Help define scalable policy frameworks for dual-use biological capabilities, including where to draw boundaries between broadly beneficial biological assistance, higher-risk dual-use support, and activity that should be restricted or disallowed.
• Develop operationalizable standards, enforcement protocols, and escalation paths for bio misuse scenarios, including suspicious high-risk dual-use trajectories, account- or organization-level misuse patterns, and ambiguous cases requiring expert judgment.
• Partner with Preparedness, Safety Systems, Integrity, User Operations, I2, research, legal, communications, global affairs, and product teams to make principled, timely decisions about biological risk in high-ambiguity situations.
• Help design and refine trusted access frameworks for higher-capability biological systems, including actor vetting, institutional legitimacy, governance expectations, deployment suitability, access scoping, re-verification, and escalation obligations.
• Support the development of threat models, misuse trajectories, taxonomy updates, account-level review workflows, and measurement approaches that distinguish legitimate scientific activity from concerning misuse over time.
• Use production signals, evals, red-team findings, user feedback, and operational data to improve policy quality, measure safeguard effectiveness, and identify emerging risks.
• Help OpenAI engage credibly with life sciences organizations, biosecurity experts, public health institutions, and other external stakeholders on best practices for safe AI adoption in biology.
• Develop a partnership-informed biosecurity approach by working with external experts, public health institutions, life sciences organizations, and other trusted partners to identify emerging risks, strengthen safe adoption practices, and support broader societal resilience against biological misuse.

Product Policy Biosecurity Policy Manager

Mechanical Engineer

• Develop, own, and continuously improve global conference room AV and video conferencing standards, with a focus on reliability, consistency, scalability, and five 9s availability.
• Design and manage enterprise conference room standards, including room archetypes, approved hardware stacks, user experience requirements, control patterns, network requirements, and supportability expectations.
• Produce and maintain standard AV drawing packages, design templates, build documentation, and release/revision cycles for global deployment.
• Establish scalable systems and processes for managing the full AV technology lifecycle, including evaluation, standardization, deployment, support, refresh, and retirement.
• Define design requirements and technical patterns for AV monitoring, alerting, automation, and operational handoff so global room standards can be supported, measured, and improved at scale.
• Oversee AV control code, programming patterns, and network requirements to move from project-specific implementations to a first-party global standard deployed consistently across offices.
• Lead AV/VC design standards and technical review for new global office buildouts, ensuring each project aligns with OpenAI’s global AV architecture and user experience goals.
• Define programming, commissioning, QA, and operational handoff requirements for conference rooms and AV spaces.
• Develop and manage integrations between AV systems and core IT services, including monitoring, alerting, asset management, ticketing, calendar systems, and support workflows.
• Partner closely with ITAV Events, ITAV Upkeep, Network Engineering, Real Estate, Design and Construction, and Security to ensure AV standards meet business, operational, and technical needs.
• Own lifecycle management for conference room AV/VC technology, including vendor roadmaps, firmware strategy, end-of-life planning, approved substitutions, and global refresh planning.
• Maintain deep knowledge of AV/VC industry trends, emerging technologies, enterprise platform changes, and best practices for deploying AV at global scale.

Audiovisual Design Engineer

• Manage a focused set of key U.S. Defense and Intelligence Community accounts, developing and executing comprehensive account plans
• Lead Defense and Intelligence customers through their AI adoption journey, from consideration to successful deployment
• Partner with solutions and research engineering to build and execute complex defense customer programs and projects
• Own and manage a National Security Community consumption revenue target
• Oversee revenue forecasting and reporting
• Analyze key Defense and Intelligence account metrics and provide insights to internal and external stakeholders
• Closely monitor the national security landscape (agencies, policies, competitors, partners, etc.) to inform product roadmaps and corporate strategies
• Collaborate cross-functionally with solutions, product engineering, government affairs, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of team members focused on defense and intelligence accounts
• Foster the development of our company culture within the National Security Community practice

Government Account Director – National Security

Sales

• Lead, coach, recruit, and develop a team of Client Partners and Customer Success Managers across EMEA
• Formulate strategies for regional expansion
• Own regional revenue goals and business performance across multiple markets
• Develop and execute the EMEA commercial strategy
• Partner with sales and customer success leaders to optimize customer engagement
• Build and maintain executive-level relationships with key advertisers
• Drive forecasting, pipeline management, territory planning, and business reviews
• Serve as the voice of the EMEA market
• Collaborate cross-functionally to support product launches and market expansion initiatives
• Establish scalable processes, playbooks, and best practices
• Represent OpenAI’s advertising offering externally

Regional Sales Manager, Ads Solutions

Director

• Jointly shape and execute the APAC AWS alliance strategy and annual operating plan with the APAC Partnerships Lead and local Partner Directors.
• Own the regional AWS alliance relationship and coordinate with AWS country teams alongside local Partner Directors.
• Build trusted relationships with AWS alliance leaders, sales teams, technical teams, cloud architects, industry leaders, and delivery stakeholders.
• Develop joint account plans and drive co-sell execution across AWS, local Partner Directors, OpenAI Sales teams, and services partners.
• Identify, shape, and accelerate qualified AWS-related opportunities and customer engagements.
• Mobilise AWS-focused practices within systems integrators, consulting firms, and specialist services partners.
• Help partners develop repeatable OpenAI offerings, reference architectures, delivery methodologies, and GTM motions aligned with AWS infrastructure and services.
• Drive operating discipline across AWS ACE, Marketplace, partner programs, funding mechanisms, pipeline tracking, partner attribution, and deal-progression workflows.
• Build and run the AWS governance model across APAC, including pipeline reviews, operating cadences, executive business reviews, milestone tracking, and escalation management.
• Develop scalable sales plays, enablement materials, field communications, and engagement strategies that local teams and partners can reuse.
• Lead or support contracting where appropriate, coordinating with local Partner Directors and legal, finance, and leadership teams.
• Aggregate feedback from AWS stakeholders, services partners, customers, and country teams and translate it into recommendations for Product, Operations, Marketing, and GTM leadership.
• Coordinate with Marketing on AWS-related launches, campaigns, enablement activities, and events.
• Represent OpenAI with executive presence in AWS, partner, customer, and market-facing conversations.
• Travel regularly across APAC, with occasional travel to the United States.

Partner Director – AWS Alliance Partnership

Software Engineer

• Own the education strategy for OpenAI's product ecosystem, ensuring learning experiences connect across Codex, ChatGPT, APIs, frontier models like GPT-5.5, enterprise surfaces, and future launches.
• Build and manage an education roadmap that prioritizes what gets taught, for whom, when, and through which formats across launches and evergreen learning.
• Create scalable educational programs, demos, curricula, workshops, launch materials, and interactive experiences that help audiences understand frontier AI capabilities.
• Design learning journeys for broad audiences, including developers, product teams, business leaders, creators, researchers, students, educators, startups, and enterprise customers.
• Partner with product, research, engineering, go-to-market, communications, and community teams to ensure major launches ship with clear educational framing, practical examples, and paths from first exposure to successful adoption.
• Experiment with new formats for education, including in-product learning, interactive web experiences, hands-on labs, video, live teaching, community programs, and AI-native tutorials.
• Use OpenAI's own products as teaching surfaces, creating examples where people learn by building, exploring, prompting, coding, analyzing, or automating real workflows.
• Establish feedback loops, content audits, and quality bars so learning materials stay current as models, APIs, product surfaces, and deprecations evolve.
• Define and track success metrics that reflect real understanding, activation, adoption, and durable AI fluency rather than only reach or impressions.

Education Lead, Developer

Machine Learning Engineer

• Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.
• Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models.
• Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.
• Develop systems that safely and reliably move models from experimentation into production environments.
• Build and improve real-time inference and serving infrastructure with strict requirements for latency, throughput, reliability, and availability.
• Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale.
• Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness.
• Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems.

Software Engineer, Monetization ML Infrastructure

Risk

• Design, implement, and continuously improve a global insurance program covering key lines, including cyber, directors and officers (D&O), errors and omissions (E&O), property, general liability, international programs, and emerging AI-related exposures.
• Lead annual renewals, coverage reviews, market submissions, insurer negotiations, broker performance, and ongoing program optimization.
• Lead the evaluation of captive insurance structures, including feasibility analysis, domicile and governance considerations, capitalization, service-provider oversight, and performance monitoring.
• Establish a rigorous approach to identifying, quantifying, prioritizing, and mitigating insurable and enterprise risks.
• Partner with Finance and Treasury leadership on balance sheet protection, liquidity planning, capital efficiency, captive capitalization, and broader risk financing decisions.
• Assess insurance and risk implications of new products, strategic partnerships, acquisitions, international expansion, and significant infrastructure investments.
• Coordinate with Accounting, Tax, Legal, and Internal Audit on insurance accounting, controls, compliance, and governance matters.
• Own the claims management framework, coordinating timely and effective responses with internal stakeholders, brokers, counsel, and carriers.
• Develop enterprise risk and insurance policies, governance routines, controls, escalation protocols, and reporting standards.
• Prepare clear management and board-level reporting on exposures, claims trends, coverage adequacy, risk mitigation priorities, and financial impact.
• Help shape enterprise resilience, crisis response, and business continuity planning as the organization grows.

Head of Insurance and Risk Management

• Build and sustain substantive relationships with state and major metropolitan homeland security advisors, emergency management directors, CISOs, election security officials, law enforcement and public safety leaders, and other relevant stakeholders.
• Develop and execute a strategy for policy engagement on state and local risks from advanced AI, including AI-enabled cyber attacks, threats to critical infrastructure, election-related deception or interference, criminal misuse, and biological threats.
• Represent OpenAI in engagements with governors' and mayors' offices, state and municipal agencies, relevant associations, and policy organizations on AI-related security and resilience issues.
• Identify opportunities for beneficial state and local uses of AI, including improved cyber defense, disaster preparedness and response, threat analysis, and resilient public services.
• Draft crisp policy briefs, strategy memos, stakeholder materials, and responses to inquiries on the national security and public safety implications of advanced AI.
• Coordinate closely with OpenAI's State and Local Government team and relevant internal partners, including policy, partnerships, legal, security, preparedness, communications, and public sector teams.
• Track state and local policy developments, operational priorities, and emerging concerns affecting the responsible deployment and governance of AI in homeland security and public safety contexts.

National Security Lead, State and Local Government

• Serve as a senior technical-policy advisor to the National Security Policy team on frontier AI safety and governance issues, including CBRN, cyber, autonomous agents, automated AI R&D, evaluations, risk thresholds, and societal resilience.
• Act as a cross-functional connector between National Security Policy and internal teams including Safety Systems, Preparedness, Alignment, Research, Security, Legal, and Product Policy.
• Drive OpenAI’s engagement with national AI institutes, the Frontier Model Forum, third-party evaluators, research organizations, and other technical governance bodies.
• Develop proactive policy strategies that help governments and other institutions prepare for and react to increasingly capable AI systems, including responsible national security adoption, defensive acceleration, democratic oversight, and societal resilience.
• Represent OpenAI externally with sound judgment, integrity, and credibility in sensitive engagements with policymakers, technical experts, civil society, and national security stakeholders.
• Translate technical realities into clear policy products, including memos, briefs, talking points, government responses, strategy documents, and internal decision materials.
• Build and sustain trusted relationships with AI safety researchers, technical policy experts, think tanks, standards bodies, civil society organizations, and current or former government officials.
• Help OpenAI identify emerging technical-policy opportunities, pressure-test novel ideas, and determine which initiatives are most important to advance the mission.

Senior Technical Advisor, National Security Policy – Global Affairs

Financial Planning and Analysis

• Lead risk and controls support across multiple finance-critical business domains, with a focus on building scalable foundations in a rapidly developing environment.
• Assess risks across payments, equity, procurement flows, strategic investments, people processes and related systems.
• Identify where the control environment is weakest or most exposed, and prioritize the highest-risk areas for remediation, control design, governance, or monitoring support.
• Partner with operational, business, finance, legal, people, procurement, corporate development, and technical teams to design controls that are effective in practice and integrated into day-to-day workflows.
• Translate risks into clear operational requirements, including ownership models, approval points, control objectives, monitoring expectations, reconciliations, evidence needs, system dependencies, and escalation paths.
• Drive cross-functional remediation efforts where processes are unclear, fragmented, overly manual, inconsistently documented, or dependent on immature systems/data.
• Help teams balance speed and control by implementing fit-for-purpose guardrails that support execution, preserve accountability, and avoid unnecessary friction.
• Support new or changing processes, systems, deals, vendors, payment flows, and operating models by ensuring risk, control, governance, and evidence considerations are addressed upfront.
• Contribute to broader ICFR/SOX and operational risk readiness efforts by strengthening control design, documentation, testing readiness, issue management, and leadership visibility across high-impact processes.

Senior Manager, Financial Risk Management

Cloud Engineer

• Alongside GTM and Product, lead OpenAI’s work with major cloud providers, helping inform product, engineering, and launch priorities with cross-functional partners and driving the work to measurable results.
• Shape the partnership operating plan for assigned cloud provider relationship: product priorities, roadmap alignment, launch milestones, partner dependencies, customer feedback loops & measures of adoption and impact.
• Partner closely with GTM leadership, supporting business targets and overall plan.
• Make it easier for customers to use OpenAI models through their cloud provider by coordinating work across APIs, model serving, security, compliance, identity, billing, reliability, and support.
• Drive launch readiness with cloud providers, ensuring cross-functional execution and engagement across Product, Eng. and GTM workstreams.
• Bring customer and partner feedback back to OpenAI so product, engineering, and leadership understand what is needed to make cloud distribution successful.
• Run senior partner meetings and operating reviews, including roadmap reviews, launch readiness, business updates, escalations, and follow-through on decisions.
• Build simple playbooks and metrics that help OpenAI manage cloud partnerships well as the work scales.

Partner Manager, Cloud Service Provider Partnerships

Content Marketing Manager

• Lead hands-on trainings and workshops to help government users get confident with ChatGPT.
• Develop lightweight, scalable learning experiences that reduce risk, set expectations, and inspire responsible use.
• Help smaller government customers get onboard and drive their practical use of ChatGPT.
• Continuously refine OpenAI for Governments customer-facing content based on feedback, usage patterns, and evolving customer needs.
• Create operational cadences that include gathering customer feedback across OpenAI for Government to provide back to the product team and others about what we are hearing from our customer base.
• You will capture all trainings and enablement sessions with customers and training feedback and will work with teams to identify where we need to pivot or hone our approaches.
• You will serve as an in-house expert to government customers looking for expert insight and advice on creating great customer employee/workforce communications campaigns to drive ChatGPT confidence and use.
• Be a point of escalation for customers having issues and getting them the support they need.
• Design and grow communities of practice across state, local, federal, and international governments, including location, role-based and mission-based communities.
• Create, contribute, and maintain OpenAI for Governments contributions to spaces (virtual and in-person) where public servants can learn from each other, share use cases, and feel supported on their AI journey.
• Create delightful experiences and engagements for customers. You will actively match-make and draw insights from commercial, education and other practices and hone them for a government audience.
• Act as a trusted, empathetic presence for government users — understanding their constraints, motivations, and missions.
• Be the beating heart, the “Chief Encourager” to help make sure every public servant who engages OpenAI feels seen and appreciated.

AI Adoption, Content & Community Manager

DevOps Engineer

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
• Influence joint account strategy and technical direction for high-priority opportunities.
• Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
• Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
• Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
• Guide customers from early ideation through architecture design, prototyping, and production deployment.
• Act as a technical decision-maker and escalation point, de-risking complex implementations.
• Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
• Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
• Establish best practices for scalable, secure, and production-ready GenAI systems.
• Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
• Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.