OpenAI

Frontend Engineer

• Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products.
• Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings.
• Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently.
• Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making.
• Help define frontend architecture, standards, and patterns for a shared billing platform used by teams across OpenAI.
• Collaborate with Product, Data, Finance, Go-To-Market, and Engineering partners to translate ambiguous requirements into clear, high-quality interfaces.

Frontend Engineer, Financial Web Platform

Engineer

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.
• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.
• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.
• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.
• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.
• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

Forward Deployed Engineer, Life Sciences

Recruitment

• Serve as an administrator for OpenAI’s ATS (Ashby) and connected recruiting tools
• Configure and maintain recruiting workflows, pipelines, fields, permissions, and integrations for your assigned domains
• Partner with teammates on the Systems & Enablement team to maintain shared standards and coverage
• Work with vendors on support, enhancements, and feature adoption
• Own the accuracy and completeness of data in your areas of the recruiting lifecycle
• Partner with People Analytics to ensure reporting fields and pipelines are trustworthy
• Design and implement guardrails that prevent incorrect or inconsistent data entry
• Audit and monitor recruiting systems to quickly surface and resolve issues
• Participate in the Recruiting Operations support queue (Slack and Jira)
• Troubleshoot complex system issues across tools, permissions, and integrations
• Collaborate with IT, vendors, and teammates to resolve problems quickly
• Turn recurring issues into durable fixes through configuration, automation, or documentation
• Create and maintain SOPs, training, and documentation for the workflows you own
• Lead enablement sessions and onboarding for recruiters and coordinators
• Support releases of new workflows, features, and policy updates
• Help ensure changes are adopted and understood across the organization
• Measure adoption and workflow health to ensure changes are landing as intended
• Support offer and agreement processes and creation in partnership with Legal, HR Ops, and Compensation
• Maintain templates, approvals, and system logic that ensure offers are issued correctly
• Assist with complex or non-standard offers through governed workflows
• Identify friction, inefficiencies, and scaling challenges in the system
• Propose and implement improvements that make recruiting faster, more consistent, and more reliable
• Stay current on tool capabilities and recommend ways to better use them

Recruiting Systems and Enablement Lead

Account Executive

• Lead our enterprise prospects’ journeys from consideration to purchase
• Partner with Account Associates, Solutions Engineering and Customer Success to build and execute complex customer evaluations, demos, and pilots
• Forecast your pipeline and targets on a weekly basis
• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of other teammates
• Support the development of company culture

Account Director, Education

Analyst

• Audit and maintain accurate U.S. benefits data across Workday and vendor systems.
• Review and reconcile benefits vendor invoices; investigate and resolve discrepancies.
• Serve as a front-line resource for employee benefits questions, providing clear and empathetic guidance.
• Maintain benefits elections, eligibility, and configurations in Workday.
• Partner with Payroll, Finance, HR Systems, and vendors to resolve issues and improve processes.
• Support key benefits projects such as open enrollment, audits, ongoing operational reviews, and compliance.
• Identify recurring issues and help improve how benefits are administered at scale.

Benefits Analyst

Full-stack Engineer

• Drive international growth through a mix of product ideation, data analysis, and experimentation (A/B tests, geo rollouts, cohort analyses).
• Build end-to-end features across frontend and backend: onboarding, access flows, logged-out experiences,and build new growth loops.
• Design and deploy APIs and services that power localized experiences, experimentation, account flows, and performance improvements.
• Partner cross-functionally with product, design, data science, and research to ship impactful, safe, and scalable improvements.
• Improve global readiness by building systems for localization, market configuration, latency/perf, payments/subscriptions, and country launch tooling.
• Contribute to an inclusive, high-candor culture—where people challenge groupthink and hold a high bar for quality and impact.

Full Stack Software Engineer, International Growth

Operations

• Manage a regional Safety Response team and handle high-risk safety cases
• Lead and coach Safety Response Analysts to ensure high performance
• Oversee complex and high-risk cases and act as the escalation lead
• Partner with cross-functional teams to execute safety outcomes
• Drive operational excellence and continuous improvement of workflows and tools

Safety Response Operations Lead

Solutions Engineer

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.
• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

Solutions Architect, Generative AI Deployment

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness.
• Lead discovery and scoping from pre-sales through post-sales.
• Define and enforce launch criteria for regulated contexts.
• Build in sensitive scientific data environments.
• Run evaluation loops that measure model and system quality against workflow-specific benchmarks.
• Distill deployment learnings into hardened primitives and reference architectures.

• Own the end-to-end design, development, and maintenance of Anaplan models that power financial planning, workforce forecasting, budgeting, and long-range strategic modeling.
• Translate complex business requirements into scalable, well-structured models and system configurations that support evolving planning and reporting needs.
• Partner with Strategic Finance, Accounting, and People teams to deliver enhancements that improve forecast accuracy, planning flexibility, and decision-making capabilities.
• Design and manage robust data pipelines and integrations between Anaplan, Oracle, Workday, and other enterprise systems, ensuring seamless, reliable data flow.
• Diagnose and resolve model and integration issues — including data mismatches, calculation errors, and performance bottlenecks — while continuously improving stability and reliability.
• Implement governance, access controls, and metadata management practices that support security, audit readiness, and SOX compliance across the platform.
• Build and maintain scenario planning tools, driver-based models, and advanced analytics capabilities to enable better business insights and strategic decisions.
• Document model structures, integration architectures, operational runbooks, and technical processes to ensure long-term maintainability and knowledge sharing.
• Support monthly forecasting, annual planning, and reporting cycles by delivering accurate data, timely model updates, and technical expertise throughout each planning phase.

Anaplan Solutions Architect

LLM Engineer

• Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production
• Translate OpenAI’s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks
• Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations
• Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets
• Influence operational strategy with manufacturing partners by setting expectations on execution rigor, accountability, and continuous improvement
• Drive overall NPI build readiness, including material accountability, manufacturing and test readiness, product data availability, factory infrastructure, and qualification plans
• Lead transition activities from NPI to mass production, partnering closely with Sustaining Operations teams to ensure seamless ownership transfer
• Translate engineering requirements into actionable, factory-ready plans with tier-1 manufacturing and integration partners
• Lead cross-functional build and debug cadences; ensure issues are clearly owned, aggressively driven, and formally closed with root cause and prevention
• Drive factory and deployment ramp readiness, including throughput, site readiness, yield targets, quality controls, and reliability gates
• Own end-to-end risk management—identification, mitigation planning, escalation, and executive-level communication
• Surface systemic bottlenecks, inefficiencies, or failure modes; propose and implement durable solutions across process, tooling, and organizational interfaces
• Build, formalize, and scale repeatable operating mechanisms that enable predictable, high-velocity hardware development
• Define requirements for operational systems (e.g., PLM enablement), and partner with internal teams to implement, test, and operationalize them
• Establish clear scopes, roles, and responsibilities across internal teams and external partners to ensure clean execution boundaries
• Build strong, trust-based relationships with contract manufacturers, OEMs, and integrators—driving accountability, performance, and transparency
• Support onsite factory builds and field deployments as needed (domestic and international travel)

Operations Program Manager, AI Infrastructure

Financial Planning and Analysis

• Serve as the primary strategic finance partner for Payments and Integrity Product and Engineering Teams, with direct ownership of the payments and platform fees line item on the P&L, including forecasting, variance analysis, and margin impact as volumes scale.
• Partner closely with Product, Engineering, and Business Development to influence payments-related decisions, including checkout design, vendor selection, and commercial deal structures, with a focus on optimizing net revenue and contribution margin.
• Own the end-to-end economics of payments, including processing fees, network costs, chargebacks, refunds, and fraud losses, and translate these dynamics into clear product and pricing tradeoffs.
• Drive payments cost optimization initiatives, including vendor negotiations, routing strategy, regional expansion tradeoffs, and tooling investments.
• Lead quarterly and long-range planning for the payments cost base, ensuring payments economics scale sustainably alongside new monetization models, including emerging commerce and agent-initiated transactions.
• Support special projects to continuously improve, automate, and scale forecasting and reporting tools, processes, and methodologies
• Stay updated on market trends and competitive dynamics to refine financial strategies.
• Collaborate with Accounting and FP&A teams to evolve financial forecasting and reporting processes.

Director of Strategic Finance, Payments – Platform

Data Scientist

• Design and lead high-impact research that shapes OpenAI’s product strategy and user experience
• Partner with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations
• Collaborate closely with cross-functional partners to improve how people interact with AI
• Present findings and recommendations to senior leadership and key stakeholders
• Manage end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reporting
• Balance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validity

Product Policy, Data Scientist

Support Engineer

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.
• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.
• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.
• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.
• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.
• Orchestrate agentic improvements to our operations that will level-up our entire team.
• Foster a supportive and productive work culture within the User Operations team.
• Provide support coverage in on call shifts and during holidays and weekends based on business needs.
• **Note:** each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

Frontend Engineer, Financial Web Platform

Forward Deployed Engineer, Life Sciences

Recruiting Systems and Enablement Lead

Account Director, Education

Forward Deployed Engineer, Life Sciences

Benefits Analyst

Full Stack Software Engineer, International Growth

Safety Response Operations Lead

Solutions Architect, Generative AI Deployment

Forward Deployed Engineer, Life Sciences

Anaplan Solutions Architect

Operations Program Manager, AI Infrastructure

Director of Strategic Finance, Payments – Platform

Product Policy, Data Scientist

AI Support Engineer