Revenue Systems Lead, Data Infrastructure

Details

OpenAI Finance ensures the organization is positioned for long-term success while pursuing the company's mission. The Revenue team oversees billing operations, deal desk, revenue systems, and revenue accounting, working cross-functionally with Product, Engineering, and Go-To-Market teams to support monetization strategies, improve operational efficiency, and maintain financial integrity.

This role is for an experienced Revenue Systems Data Infrastructure Lead to drive the evolution of billing infrastructure and the monetization platform. You will own the roadmap and execution strategy for foundational systems that power pricing, billing, and revenue data workflows, ensuring the data infrastructure is scalable, resilient, and adaptable to support a fast-growing revenue organization. This role is based in San Francisco, CA and follows a hybrid work model (3 days in the office per week). OpenAI offers relocation assistance to new employees.

Responsibilities

• Serve as the central point of leadership aligning Finance, Product, and Data Engineering teams on data and automation priorities; establish the core revenue data vision and automated controls needed for reliable revenue recognition, scalable analytics, and compliant financial operations.
• Drive automation of processes, controls, and reporting of revenue transactions by understanding required data elements across GTM systems, ERP, monetization engines, and payment/payout systems.
• Work across financial close and allocations automation to connect internal engineering systems to ERP (including reconciliation with cash and source systems) and other mission-critical revenue financial processes.
• Define and support scalable, audit-proof reporting and controls that enable reliable financial reporting and compliance.
• Partner with Engineering to develop AI-powered workflows that enhance financial accuracy, transaction tracing, reconciliations, compliance automation, and operational efficiency.
• Partner with Engineering to define revenue requirements that drive the design of data marts, dashboards, and analysis tools supporting Finance stakeholders across Revenue and Controller teams.
• Define and enforce best practices for data infrastructure, lineage, observability, and reconciliation across finance data domains.
• Partner with senior leaders across Finance, Data Engineering, and Product to align on priorities and integrate new automation and data capabilities.

Requirements

• 12+ years of experience streamlining and automating Revenue Systems, Billing Infrastructure, Revenue Accounting, and Financial Data Modeling, ideally within high-growth or public-company environments.
• Proven track record leading cross-functional system implementations and partnering with Finance, Engineering, and Product teams to scale and operationalize billing architecture.
• Exceptional communication skills with the ability to drive alignment, influence decisions, and advocate for data infrastructure needs across technical and non-technical audiences.
• Expertise in financial processes (close, allocations, revenue recognition) and experience defining critical data elements for implementation within ERP and internal engineering systems; ability to process and reconcile large volumes of B2C and payment transaction data.
• Strong experience in data infrastructure design, data governance and controls, SQL, reconciliation processes, and financial system reliability.
• Proven success leading complex data and system initiatives from roadmap definition to execution with deep cross-functional alignment.

Benefits

• Base pay listed: $295,000 (see posting for details). Total compensation may include equity and performance-related bonuses.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts; pre-tax accounts (Health FSA, Dependent Care FSA, commuter); 401(k) with employer match.
• Paid parental leave, paid medical and caregiver leave; flexible PTO for exempt employees and paid time off for non-exempt employees.
• 13+ paid company holidays and coordinated office closures; mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees; background checks consistent with applicable law; reasonable accommodations for applicants with disabilities.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety and diverse perspectives. OpenAI is an equal opportunity employer and maintains policies and processes for applicant privacy and compliance.