OpenAI

Financial Planning and Analysis

• Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability.
• Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows.
• Design APIs and backend systems that safely ingest, normalize, and serve financial data.
• Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent.
• Bring new AI capabilities into production while prioritizing grounding, accuracy, transparency, and user control.
• Establish architecture, performance standards, testing practices, and operational safeguards for a fast-growing product area.
• Debug and improve complex behavior across client, server, infrastructure, and external integrations.
• Use qualitative feedback, product metrics, and experiments to improve user outcomes without compromising clarity or trust.
• Collaborate across disciplines to turn ambiguous product opportunities into simple, reliable experiences.

Full Stack Engineer, ChatGPT Finances

Data Scientist

• Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring.
• Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing.
• Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach.
• Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions.
• Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts.
• Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage.
• Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight.
• Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting.
• Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records.
• Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty.

People Research Data Scientist, AI Fairness, Bias

Content Marketing Manager

• Own the health and integrity of the Customer Education content portfolio, including lifecycle, governance, discoverability, reuse, and meaningful gaps.
• Ensure customer-facing teams can confidently find and use the right education resources at the right time.
• Run the team’s operating rhythm across priorities, ownership, timelines, dependencies, decisions, launch readiness, and follow-through.
• Turn ambiguous cross-functional initiatives into clear plans, workflows, responsibilities, and decision points.
• Design scalable processes and handoffs for how education programs are created, launched, maintained, distributed, and measured.
• Translate team and business needs into practical system requirements and partner across teams to bring solutions to life.
• Identify operational risks, portfolio gaps, duplicated effort, and breakdowns in execution before they become larger problems.
• Use AI deeply to automate repeatable work, strengthen quality control, synthesize inputs, and create better operating leverage.

Customer Education, Content & Systems Operations Lead

Account Executive

• Manage a portfolio of startups accounts, developing and executing strategies for a comprehensive account plan.
• Partner with solutions architects to drive successful technical engagements with startups, accelerating their product development process.
• Own a consumption revenue target.
• Manage consumption revenue forecasts.
• Analyze key account metrics to create reports and provide insights to internal and external stakeholders.
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering.
• Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups.
• Closely monitor the industry landscape and startup landscape and contribute to corporate strategies.
• Support the recruitment and onboarding of other teammates.
• Support the development of company culture.

Account Director, Startups

Program Manager

• Own and improve the customer trust operating model with other org members and partner teams, including intake, triage, escalations, SLAs, metrics, and quality review.
• Support strategic customer trust needs, including security questionnaires, customer calls, Trust Center updates, and high-priority deal support.
• Partner with Product, Security, Legal, Privacy, and GTM teams to prepare accurate, approved trust materials for launches and regulated product changes.
• Build reusable customer-facing narratives, FAQs, evidence paths, and whitepapers that reduce one-off work while keeping claims controlled.
• Ensure external security and compliance claims are supported by internal processes and controls.
• Ensure product launches support our external security and compliance narrative; scale launch reviews to ensure GRC is not a bottleneck.
• Develop data handling guidance as needed to provide product teams a paved path consistent with our external commitments.
• Use automation and AI-native workflows across internal and external tooling, Codex, and related systems to improve speed and consistency.
• Turn recurring customer discovery into reusable content, product feedback, evidence improvements, and control-gap signals.

GRC Program Manager, Product and Customer Trust

Events

• Support the planning and execution of internal events, recurring programs, team moments, and customer-facing engagements.
• Own day-of logistics—room bookings and setups, catering coordination, sign-in and guest flow, décor, entertainment, supply management, and AV touchpoints.
• Partner with Workplace, Culinary, AV, Security, Executive Business Partners and other cross-functional stakeholders to keep programs aligned and well-coordinated.
• Maintain event calendars, run-of-show documents, checklists, and tooling that keep operations running smoothly.
• Provide warm, high-touch onsite hosting and troubleshoot issues in real time to ensure a smooth experience.
• Support teammates during large-scale events and high-volume days—our team succeeds because we collaborate closely.

Workplace Event Coordinator

Supply Chain

• Evaluate and redesign core supply chain processes across demand planning, supply planning, procurement, manufacturing operations, logistics, and fulfillment.
• Identify operational bottlenecks, fragmented workflows, and manual processes that limit scalability.
• Build standardized process frameworks and operating models that support rapid scaling of hardware programs.
• Implement structured supply chain practices such as: S&OP / Integrated Business Planning, Supply risk management, Inventory optimization, Supplier collaboration frameworks, Logistics visibility and execution models.
• Establish operational KPIs and governance to improve predictability, responsiveness, and resilience.
• Translate redesigned processes into integrated system workflows across ERP, planning tools, manufacturing systems, and logistics platforms.
• Define how data flows across the supply chain to create a single operational source of truth.
• Build the foundation for a Supply Chain Control Tower with end-to-end visibility and exception management.
• Identify opportunities where AI can reduce operational noise and decision latency.
• Work with data and engineering teams to embed AI insights directly into operational workflows.
• Reduce reliance on manual spreadsheets and disconnected systems.
• Build scalable processes that enable predictable hardware supply chain execution.
• Create playbooks and automated workflows that allow operations teams to focus on exceptions rather than routine tasks.

Supply Chain Transformation Architect

Full-stack Engineer

• Design, prototype, and build novel AI-native interfaces and interaction models.
• Develop foundational technologies and frameworks that enable generative UI and computer use experiences.
• Collaborate closely with designers, product thinkers, and engineers to rapidly explore and validate new concepts.
• Build end-to-end prototypes and production systems that can influence future OpenAI products.
• Contribute to platform technologies that can be adopted across multiple product surfaces.
• Help establish technical direction and engineering best practices for an incubation-stage team.
• Participate in a highly iterative development process focused on learning, experimentation, and user feedback.

Software Engineer, Computer Use – Frontier Interfaces

• Ship fast while balancing difficult trade-offs in complex domains
• Build core abstractions for trusted execution environments and end-to-end-encryption
• Build product features for private inference and storage across ChatGPT, API, and future consumer devices
• Update build systems to increase trust and verifiability
• Integrate with safety and integrity infrastructure
• Operate systems at scale with high reliability, including an on-call rotation
• Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal

Software Engineer, Private Computing

Artificial Intelligence

• Identify opportunities where AI can improve repeatable marketing tasks improving the quality, speed, scale, and effectiveness of marketing.
• Scope ambiguous problems, prioritize opportunities, and drive execution from prototype to production.
• Design and deploy workflows that combine agents, tools, and human review in production environments.
• Rapidly prototype and ship using automation platforms, our API platform, and Codex.
• Build and maintain a small set of centrally managed workflows that support critical marketing programs.
• Develop reusable templates, tooling, and documentation that allow teams to safely self-serve over time.
• Help operators adopt frontier capabilities through clear documentation, hands-on training, programming, and direct collaboration.
• Partner with Engineering, IT, Security, Legal, and Privacy to deploy tools and workflows that meet security and compliance expectations.
• Act as a hands-on project manager and builder, driving cross-functional projects from idea to MVP to scaled adoption.

AI Tooling & Enablement Manager

Recruitment

• Partner with hiring managers and recruiters to build customized sourcing strategies for G&A and GTM roles.
• Act as the primary candidate touchpoint from the first outreach through the onsite stage.
• Build highly targeted searches that deliver precise candidate profiles.
• Craft thoughtful, personalized outreach to engage even the most passive talent.
• Conduct talent mapping and maintain long-term relationships with high-priority prospects.
• Leverage creative sourcing channels—events, talks, communities, and non-traditional networks.
• Maintain organized, data-driven tracking of candidates and pipeline health.
• Represent OpenAI at industry events, conferences, and networking opportunities.
• Contribute to cross-functional recruiting projects and process improvements.

Sourcer – Go To Market

Procurement

• Own procurement operations outcomes for assigned hardware business unit teams and serve as their primary Procurement Operations DRI.
• Redesign workflows, intake paths, routing logic, and operating rhythms so hardware procurement operations can scale without linear headcount growth.
• Lead hardware and goods procurement operations from request intake through PO creation, PO maintenance, supplier coordination, receiving readiness, and invoice-readiness handoffs.
• Drive alignment with hardware stakeholders to clarify requirements, resolve blockers, and keep procurement activity moving with the right level of control.
• Ensure requests and POs are complete, policy-aligned, audit-ready, and supported by clean operational data.
• Identify and resolve issues related to supplier setup, supplier requirements, PO structure, receiving, documentation, approvals, and downstream invoice matching.
• Balance urgent business needs with procurement controls, approval requirements, exception paths, and auditability.
• Work closely with Procurement subject area owners as a team to standardize workflows, intake requirements, operating rhythms, and metrics where practical.
• Identify repeatable work patterns, define system and process requirements, and help build scalable workflows, automations, controls, and reporting for assigned hardware business units.
• Build operating leverage through practical documentation, SOPs, playbooks, dashboards, templates, self-service guidance, intake logic, and AI-enabled workflow improvements that reduce repeated manual follow-up and recurring exceptions.
• Serve as the primary operational escalation point for assigned hardware business units, escalating risks early and driving issues through to clear resolution.

Senior Manager, Procurement Operations – Hardware

Backend Engineer

• Build backend and infrastructure systems that extend OpenAI’s API platform into cloud-native environments, like AWS.
• Design and ship cloud-contained products that allow customers to use OpenAI capabilities while keeping workloads and data within cloud environments.
• Help stand up cloud-hosted Codex experiences powered by the OpenAI Responses API.
• Build the infrastructure and runtime abstractions for a stateful, cloud-optimized agentic platform.
• Partner closely with external cloud partners as well as internal teams across Codex, Research, and Safety Systems to translate emerging capabilities into production-ready systems.
• Improve the reliability, scalability, observability, and operational maturity of the services underpinning these products.
• Help shape the technical direction of a new and growing team as it scales from an early core group into a larger engineering organization.

Backend Software Engineer, API Multicloud

• Own inbound response, discovery, qualification, follow-up, and disposition for an assigned set of federal, state, and local government customers.
• Manage a portfolio of smaller and mid-sized agencies and lead appropriate opportunities through the full sales cycle.
• Create pipeline through targeted outbound outreach and multithreading within priority government accounts and cohorts.
• Build trusted relationships with government stakeholders, understand their missions and constraints, and connect them to relevant OpenAI capabilities.
• Work closely with approved resellers, AWS, and other strategic partners to advance customer opportunities and navigate purchasing paths.
• Partner with Solutions Engineering, Technical Success, Legal, Policy, Security, and other internal teams on technical, procurement, compliance, and deployment questions.
• Identify larger or more complex strategic opportunities and transition them effectively to the appropriate senior Account Director.
• Maintain accurate pipeline, forecasting, customer follow-up, and account records.
• Develop repeatable playbooks for government inbound, qualification, routing, reseller execution, and common customer questions.
• Surface recurring customer, product, procurement, and partner insights to improve OpenAI's government go-to-market motion.

Account Director, Government Scale

Product Manager

• Define product strategy and roadmap for key ChatGPT Healthcare experiences and capabilities.
• Identify the highest-impact problems across clinicians, healthcare operators, and health systems, and turn them into clear product priorities.
• Partner closely with engineering, research, design, legal, policy, and GTM teams to ship products that are useful, safe, and scalable.
• Drive execution from early discovery and prototype through launch, adoption, and iteration.
• Translate customer needs, technical constraints, and regulatory considerations into strong product decisions and crisp requirements.
• Use data, customer feedback, and market insight to improve product quality, trust, and business impact.