OpenAI

Product Designer

• Define the vision for what an AI-native advertising experience should be for millions of users.
• Design advertising formats and interactions that feel additive to the core ChatGPT experience—relevant, contextual, and thoughtfully integrated.
• Build a new set of advertising products from the ground up in a fast-moving, zero-to-one environment.
• Partner with product, engineering, research, and policy teams to define new ads surfaces, systems, and workflows from the ground up.
• Design user-facing controls for ad personalization, data usage, and opt-out flows, as well as intuitive interfaces for advertisers to manage campaigns responsibly.
• Navigate complex tradeoffs between business needs, user trust, and long-term platform health.
• Create thoughtful artifacts that help align cross-functional teams and guide execution across both consumer and console experiences.
• Contribute to a design culture that values clarity, restraint, and responsibility as much as craft.

Product Designer, Consumer Ads Experience

Full-stack Engineer

• Build and evolve shared full-stack platform components including APIs, data models, services, and UI primitives that power billing, subscriptions, usage-based pricing, and enterprise entitlements across OpenAI.
• Design scalable, reusable revenue workflows and abstractions that other product teams can compose to launch new offerings without reinventing core billing logic.
• Partner closely with product, frontend, and backend engineers to deliver end-to-end revenue capabilities, ensuring platform components are intuitive to adopt and safe to extend.
• Develop internal platforms and tools used by Finance, Accounting, Sales, Support, and Go-To-Market teams to manage, audit, and reason about revenue data efficiently.
• Build automation and AI-powered capabilities within the Revenue Platform to reduce manual work, surface insights, and improve operational decision-making.
• Help define the architecture, standards, and contracts for a shared revenue platform, balancing flexibility for product teams with correctness, reliability, and compliance.
• Collaborate cross-functionally to translate ambiguous commercial, financial, and operational requirements into durable platform primitives that scale with OpenAI’s products and customer base.

Software Engineer, Full Stack – Revenue Platform

Account Executive

• Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans
• Lead complex, multi-stakeholder sales cycles
• Partner with solutions and research engineering to design pilots that demonstrate measurable business impact
• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments
• Own a revenue and consumption target; manage forecasts and pipeline reporting
• Monitor industry and regulatory trends to guide customer and product strategy
• Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)
• Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

Account Director, Insurance

Engineering Manager

• Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding.
• Own the architecture and roadmap for order data flows into downstream systems (e.g., internal provisioning services, billing/invoicing services, and revenue workflows).
• Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition—minimizing manual steps while maximizing correctness and traceability.
• Improve accuracy and timeliness of provisioning, billing, and invoicing—reducing manual intervention and operational load through automation, validation, and reconciliations.
• Establish strong operational practices (observability, alerting, runbooks, on-call) so systems remain healthy without constant human oversight.
• Partner deeply with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows.
• Drive clarity across ambiguous problem spaces and evolving product offerings; create frameworks and abstractions that scale as OpenAI’s commercial footprint expands.
• Set high engineering standards via technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement.
• Bring strong leadership: teach and level up engineers, recruit and retain talent, manage stakeholders, and scope work to balance customer needs with realistic deliverables.

Engineering Manager, Order Systems

Recruitment

• Partner with hiring managers across GTM to build and improve recruiting processes and develop customized sourcing strategies for your roles.
• Build highly targeted searches that deliver candidate profiles with precision.
• Craft thoughtful approaches to candidate outreach to engage even the most passive talent.
• Cultivate relationships with high priority targets over the long-term, including talent research and "mapping."
• Act as the primary touchpoint for candidates from initial outreach until the onsite interview stage, ensuring an exceptional candidate experience.
• Utilize non-traditional and creative strategies to discover talent through events, talks, etc.
• Take a highly organized and data-driven approach to candidate tracking and pipeline health.
• Represent OpenAI and engage with candidates at conferences and events.
• Effectively lead and contribute to cross-functional projects.

Talent Sourcer – Go To Market

DevOps Engineer

• Own the strategy and operating model of the AI Deployment Engineering team in SEA, ensuring alignment with company objectives and the evolving needs of our customers.
• Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.
• Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.
• Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.
• Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.

Manager, AI Deployment Engineering – Southeast Asia

Administration

• Own end-to-end employee equity administration across key lifecycle events (new grants, vesting/RSU releases, option exercises, and related transactions), including high-volume execution and complex exception handling.
• Operate core equity cycles by driving timelines, managing dependencies, and ensuring accurate, timely completion across cross-functional partners.
• Own equity systems and integrations from an operator’s lens, including day-to-day system administration, report builds, workflow configuration, and troubleshooting, while also identifying and driving improvements for scale and data quality.
• Deliver audit-ready equity reporting and data to support accounting, compliance, and reporting requirements, including building repeatable reconciliations and validation routines.
• Build and maintain automated equity reporting (scheduled reports, dashboards, and reconciliations) to reduce manual effort and improve accuracy, reliability, and speed.
• Partner with Internal Controls to keep process documentation, narratives, and flowcharts current, and ensure controls are designed and operating effectively in practice.
• Partner with Legal and HR to operationalize new equity programs by translating program design into clean workflows, system setup, and execution checklists.
• Support complex one-off equity transactions, including liquidity events such as tender offers, by coordinating execution steps, data requirements, and stakeholder readiness.

Senior Manager, Global Equity Administration

General Counsel

• Support OpenAI research, product, engineering, privacy, and security teams in the development and release of cutting-edge AI products and services
• Anticipate and address privacy, regulatory, product, and other legal risks
• Develop strategies for handling legal issues in creative ways and build scalable, flexible processes to manage risk
• Help build and improve processes for scaling our privacy program as the company grows
• Become an expert in AI privacy matters and help propose and advance AI legal policy positions

Counsel, Privacy

• Execute end-to-end employee equity administration across key lifecycle events (new grants, vesting/RSU releases, option exercises, and related transactions).
• Run recurring operational cycles by managing timelines, checklists, stakeholder inputs, and issue resolution.
• Produce audit-ready equity reporting and support accounting, compliance, and reporting needs with accurate, well-documented data.
• Build and maintain automated reporting (scheduled reports, dashboards, reconciliations) to reduce manual effort and improve speed and accuracy.
• Support equity system operations (Shareworks or comparable) including troubleshooting, configuration updates, permissions, report builds, and workflow maintenance.
• Partner with Internal Controls to keep process documentation, narratives, and flowcharts current, and ensure controls are followed consistently.
• Support new programs and special transactions by coordinating operational steps and ensuring clean execution (including liquidity events such as tender offers).

Manager, Global Equity Administration

• Analyze AI laws and regulations as they relate to copyright matters to understand their impact on OpenAI and the broader AI community.
• Engage with regulators and policymakers on copyright matters.
• Develop policy positions on pending legislation and policy trends relating to copyright.
• Provide legal analysis and advice to the Global Affairs team and other internal stakeholders.
• Monitor and keep the team updated on emerging legislative and regulatory developments related to AI and copyright.

Associate General Counsel, Policy – Copyright

Product Marketing

• Lead consumer product marketing for ChatGPT’s evolving experience, shaping how new capabilities help the product feel more personal, proactive, and intuitive.
• Partner deeply with Product, Research, and Engineering to influence roadmap priorities through user insight, narrative clarity, and market context.
• Translate complex innovation into simple, compelling value propositions that resonate with a broad global consumer audience.
• Own go-to-market strategy for new ChatGPT features and experiences—from positioning and messaging to launch execution and post-launch optimization.
• Develop hypotheses around user needs and behaviors; define success metrics, learning agendas, and feedback loops to inform iteration.
• Work hands-on to create launch plans, messaging frameworks, in-product narratives, and enablement materials.
• Collaborate with Data Science to assess impact, measure adoption, and turn insights into actionable recommendations.
• Partner with Legal and Privacy to ensure launches are responsible, compliant, and aligned with user trust.
• Serve as a foundational leader for this space, helping define operating models and setting the groundwork to build a team over time.

Product Marketing Lead – ChatGPT

Solutions Engineer

• Deliver an exceptional pre-sales customer experience for large Healthcare & Life Sciences prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

Solutions Engineer – Healthcare & Life Sciences

• Deliver an exceptional pre-sales customer experience for Digital Native prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

Solutions Engineer – Core Digital Native

• Deliver an exceptional pre-sales customer experience for large Private Equity prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

Solutions Engineer – Private Equity

• Deliver an exceptional pre-sales customer experience for Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.