OpenAI

Learning and Development

• Write and edit curriculum: learning objectives, lesson outlines, scripts, assessments, and guidance for hands-on exercises and projects.
• Build certification and credential structure: badges, progression, and criteria that represent meaningful skill development.
• Create standards and operating guidelines for course production: templates, style guides, QA checklists, and update cadence.
• Use AI to accelerate course development and maintenance: generate drafts, test cases, examples, and QA checks.
• Design learning analytics to measure success: completion, assessment results, practice performance, and downstream behavior change.
• Work cross functionally to ensure learning experiences stay aligned with product updates, customer needs, and field feedback.

Customer Education Lead, Learning Experience, Curriculum

Artificial Intelligence

• identify opportunities where AI can improve the quality, speed, scale, and effectiveness of marketing and GTM programs
• 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 "golden workflows" that support critical marketing and lifecycle programs
• develop reusable templates, tooling, and documentation that allow teams to safely self-serve over time
• help operators adopt frontier capabilities through hands-on training, pair programming, and direct collaboration

AI Workflow Engineer, Marketing Innovation

Security Engineer

• Design, build, and operate components of the Host Assurance platform that establish trust in bare-metal hosts before they are eligible for production use.
• Help ensure hosts are verifiably trustworthy from delivery and installation through secure bootstrap and readiness to join orchestration systems.
• Build and improve systems such as machine identity, certificate issuance and enrollment, HSM-backed or key-management-backed trust services, host attestation, measurement, and baseline verification tooling.
• Validate delivered hardware and firmware against vendor claims and continuously detect and manage drift over time.
• Eliminate insecure bootstrap patterns while preserving deployment throughput and operational reliability. Partner with provisioning, fleet, and orchestration teams to deliver paved paths where the secure approach is the easiest approach.
• Contribute code, reviews, operational improvements, and design guidance for foundational trust services that must be dependable at scale.
• Help define observable, testable security properties for host platforms and improve the telemetry and validation needed to enforce them in practice.
• Participate in incident response, debugging, and post-incident improvements for security-critical infrastructure.
• Work across different deployment models and provider boundaries while maintaining a consistent bar for host trust outcomes.

Security Engineer, Host Assurance

Full-stack Engineer

• Design, build, and scale the backend services, APIs, and infrastructure that power OpenAI’s developer and enterprise products
• Lead the architecture of distributed systems, databases, and data pipelines that support large-scale, high-reliability production workloads
• Own major platform capabilities end-to-end, from early technical strategy and design through implementation, launch, and long-term operation
• Shape the design of our APIs with care and intentionality, treating API interfaces as core product surfaces and driving a high-quality developer experience
• Build secure, reliable, and compliant systems that meet the needs of both enterprise and developer use cases
• Partner closely with product, research, design, infrastructure, and forward-deployed engineering teams to bring new capabilities into production
• Drive technical direction across complex problem spaces, making sound architectural tradeoffs that balance speed, quality, and long-term maintainability
• Improve engineering velocity by building internal tooling, platform abstractions, and systems that increase leverage across the broader organization
• Raise the bar for engineering quality, system design, operational excellence, and technical decision-making across teams
• Help identify and solve ambiguous, high-impact technical problems that cut across multiple systems and stakeholders

Principal Software Engineer, B2B Engineering

Sales

• Identify and prioritize high-impact growth opportunities across pipeline, conversion, and sales productivity.
• Partner with GTM leadership to define priorities and translate business goals into program strategy.
• Design and scale programs that drive pipeline generation, accelerate deal cycles, and improve win rates.
• Translate ambiguous, strategic priorities into structured, executable, and repeatable initiatives.
• Own program success end-to-end, including defining metrics, tracking performance, and driving accountability.
• Lead cross-functional execution across Sales, Marketing, Product, Enablement, and Operations.
• Align senior stakeholders on priorities, timelines, and outcomes while navigating ambiguity and tradeoffs.
• Build and evolve the operating system for sales programs, including frameworks, processes, and feedback loops.
• Influence GTM strategy through data-driven insights, program performance, and field feedback.

Sales Program Lead

Data Scientist

• Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains.
• Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.
• Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability.
• Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions.
• Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches.
• Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks.
• Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making.

Machine Learning Data Scientist, Forecasting

Solutions Engineer

• Own administration and operational stewardship of enterprise SaaS and identity-connected platforms, ensuring configuration integrity, access governance, and compliance with defined control requirements.
• Own onboarding, access modification, and offboarding workflows aligned to standardized entitlement models.
• Ensure lifecycle events propagate reliably across downstream systems and maintain accurate, auditable access state.
• Maintain consistent platform configuration and reduce unmanaged variance across business-critical systems.
• Partner with Security and IT Support Operations to enforce least-privilege access models and durable ownership boundaries.
• Design and operationalize structured rollout patterns for enterprise system configuration and workflow changes.
• Replace manual administrative actions with governed automation incorporating validation, logging, and rollback-aware deployment patterns.
• Translate operational and compliance requirements into durable system implementations that improve reliability and auditability.
• Build automated operational workflows using APIs, infrastructure-as-code, scripting, and low-code automation platforms.
• Execute and maintain integrations across identity providers, SaaS platforms, ITSM systems, and internal tooling to ensure consistent system behavior.
• Standardize integration and deployment approaches across environments to support scalable platform adoption.
• Translate ambiguous operational requirements into structured workflows and dependable system implementations.
• Partner cross-functionally to convert recurring incidents and operational friction into durable system improvements.

IT Solutions Engineer

Operations

• Collaborate with internal and external teams to establish the hardware operations strategy, critical metrics and SLAs.
• Lead daily physical operations for data center campuses, from commissioning through ongoing maintenance.
• Design and implement robust logistics systems for material movement, repairs, and operational workflows.
• Collaborate with engineering, construction, supply chain, and operations teams to streamline processes and resolve bottlenecks.
• Develop tools and practices for improved traceability, throughput, and vendor coordination.
• Manage relationships with external partners and ensure alignment with operational goals.
• Apply best practices in logistics and operational planning to support scalable infrastructure growth.

Datacenter Hardware Operations Lead

• Serve as OpenAI’s primary on-site hardware contact, collaborating with Oracle teams and vendors to plan and coordinate maintenance, repairs, and lifecycle activities.
• Share technical requirements and verify that work performed supports OpenAI’s compute needs and agreed quality targets.
• Coordinate schedules, spare-parts planning, and issue escalation with partner teams to minimize downtime and keep operations running smoothly.
• Work with OpenAI fleet-health engineers to translate software-detected issues into on-site hardware actions in partnership with Oracle.
• Track hardware trends and provide joint recommendations with partner teams for design or operational improvements.
• Prepare documentation and runbooks that capture joint best practices and can be applied at additional campuses.
• Offer technical guidance and context to partner personnel while respecting their operational ownership.
• Collaborate with supply-chain teams to plan spares and manage hardware lifecycle activities.

Datacenter Hardware Operations Technician, AI Compute Infrastructure

• Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria.
• Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time.
• Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations.
• Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams.
• Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses.
• Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning.

Datacenter Networking Technician – AI Compute Deployment

• Explore large support and product datasets to uncover trends, volume drivers, and user-experience pain points, distilling findings into clear, actionable narratives.
• Build, enhance, and maintain self-serve dashboards and reporting tools, enabling non-technical teams to answer their own data questions.
• Establish a unified metrics taxonomy for service-health and performance—and build automated data-sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real-time view of success
• Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes—powering smarter routing, richer self-serve insights, and swifter root-cause analysis.
• Partner with Data Engineering to ensure reliable pipelines, implement data-quality checks, and document sources of truth.
• Jump into high-priority special projects to conduct bespoke deep-dive analyses and deliver clear, strategic recommendations to leadership.
• Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.
• Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations.

Data Scientist, Support

Account Executive

• Manage a focused portfolio of Financial Services accounts, developing long-term strategic account plans
• Lead complex, multi-stakeholder sales cycles spanning banks, hedge funds, and asset managers
• 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, Financial Services

Accounts Payable

• End-to-end ownership (Indirect & Direct): intake, 2/3-way match, exception handling, disbursements, vendor inquiries, and close activities.
• Escalation lead: act as the primary escalation point; partner closely with the hiring manager and Accounting to rapidly resolve complex exceptions, payment holds, and close blockers.
• Stand up Direct foundations: partner with hardware and operations stakeholders to define and launch asset management and receiving processes required for 3-way match—including building where processes don’t yet exist.
• Scale for growth: improve cycle time, first-pass yield, and on-time payment; strengthen PO discipline and receiving alignment; drive root-cause reduction of top exceptions.
• Controls & compliance: maintain SOX-aligned approvals and documentation; ensure segregation of duties; lead internal/external audit requests and remediation.
• Automation & design: design and implement ERP/AP workflow, OCR/approvals, and integration hygiene to reduce manual touchpoints; partner with Procurement and Accounting on data quality.
• Vendor experience: enable self-service where possible; resolve escalations (price/qty/tax mismatches, credits, banking); negotiate operational terms with Finance/Procurement partners.
• People & partners: manage, mentor, and develop AP staff; oversee BPO/offshore capacity with clear SLAs/KPIs and a continuous-improvement cadence.
• Reporting & comms: own AP dashboards and narratives—aging, cycle time, exceptions, payment forecast, cash needs, and risk themes; communicate progress to leadership.

Accounts Payable Leader

• Design, build, implement, and maintain secure, scalable, and performant workforce technology infrastructure, automation workflows, and bespoke tooling that improves the OpenAI employee experience.
• Deliver critical IT efficiencies and automation through both bespoke software development and first-party tooling to enhance technology service delivery.
• Employ modern Infrastructure-as-Code (IaC) methodologies, developing GitOps-driven solutions to manage technology workflows at scale.
• Build and maintain CI/CD pipelines for corporate infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
• Create scalable internal tools and dashboards to optimize workflows and improve visibility into engineering operations.
• Design and manage internal integrations, including Slack bots and workflow automation solutions.
• Support IAM processes by automating access provisioning and lifecycle management for internal applications.
• Collaborate with the IAM team to manage cloud-based identity and access controls, ensuring compliance with security policies and standards for internal applications.
• Collaborate with security teams to align technology automation initiatives with Zero Trust principles and compliance frameworks.
• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.
• Work cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.
• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Software Engineer, Internal Applications – Enterprise

Financial Planning and Analysis

• Serve as the primary finance partner to Supply Chain, Operations, Manufacturing, and Procurement, shaping decisions on capacity planning, ramp profiles, and material commitments.
• Build and own integrated financial models that track COGS, inventory, working capital, cash flow, and P&L across the full hardware lifecycle.
• Model and maintain detailed cost drivers, including BOM structure, CapEx, freight and logistics, yield assumptions, manufacturing variances, tariffs and import duties, warranty accruals, and inventory reserves.
• Own inventory and cash-flow forecasting tied to manufacturing execution, including inventory builds, reserves, obsolescence risk, and launch readiness.
• Maintain cost and risk sensitivity frameworks across volume, yield, ramp timing, mix, and cost-down realization to enable clear, decision-ready tradeoffs.
• Translate product roadmaps and supply-chain plans into financially grounded execution plans, clearly quantifying the financial implications of capacity and ramp decisions.
• Own scenario analysis for volume changes, ramp shifts, and supply-chain disruptions, including impacts to margins, inventory exposure, and cash flow.
• Establish clear escalation paths for material cost increases or inventory risk prior to supplier, tooling, or capacity commitment.
• Establish portfolio-level consistency and governance, ensuring standard costs, inventory metrics, and manufacturing economics are accurate and comparable across programs and generations.
• Partner closely with Accounting, Tax, and Corporate Finance to ensure hardware COGS and inventory exposure are reflected correctly in the P&L and balance sheet, supported by clear standard-cost methodologies, reserve frameworks, tariff accounting, and scalable system flows.
• Contribute to the scaling of the hardware COGS and supply-chain finance foundation, improving modeling rigor, governance, and decision support as volumes and complexity grow.