Order Management & Billing

SupportFinity™; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model (3 days in office)

Job summary

OpenAI is seeking a strategic and hands-on operator to scale and optimize the Order Management and Billing Operations lifecycle. You will own end-to-end processes, drive automation, and partner across Revenue Systems, Engineering, and GTM to support rapid growth and global rollout.

You will blend execution with design, enabling a scalable OTC backbone, accurate billing, and audit-ready processes as OpenAI expands. Hybrid work in San Francisco with relocation support is offered.

Qualifications

• 7+ years of experience across Order-to-Cash, Order Management, and Billing Operations in SaaS or high-growth tech.
• Knowledge of SaaS billing models including subscription, usage-based, and hybrid structures.
• Hands-on experience with CPQ, ERP, and billing platforms (Salesforce, Oracle Fusion, NetSuite, Stripe, Metronome).
• Strong communication skills for cross-functional collaboration and issue resolution.
• Detail-oriented and data-driven, with expertise in month-end close, reconciliations, and SOX compliance.

Responsibilities

• Own end-to-end operational readiness for new monetization launches, including testing, reconciliation, invoicing integrity, and go-live execution.
• Scale work through BPO and offshore teams with SOP development, training, and quality controls.
• Embed AI and automation into OTC workflows to reduce rework and detect discrepancies early.
• Partner with Revenue Systems, Product, Engineering, GTM, Legal, and Deal Desk to align quoting, provisioning, billing, and ERP.
• Build and enforce controls and duties, ensuring documentation, approvals, reconciliations, and exception handling are audit-ready.
• Ensure data completeness during month-end close by validating order, pricing, billing, and usage data.
• Establish KPIs and dashboards for billing accuracy, cycle times, automation rates, and escalations.
• Develop and maintain SOPs, playbooks, and training pathways for scalable operations.

Skills

Order-to-Cash

Cross-functional collaboration

Data-driven mindset

SOX compliance

Tools

Salesforce

Oracle Fusion

NetSuite

Stripe

Metronome

Job description

About The Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission.

About the Role

We are looking for a strategic and hands‑on operator to support and help scale the processes and systems of our Order Management and Billing Operations function. This role is responsible for operating the end‑to‑end order‑to‑invoice lifecycle, ensuring that contract, provisioning, and pricing data flow seamlessly through our systems to produce accurate, timely, and audit‑ready billing. You will help define and execute our operating model, partner closely across Revenue Systems, Engineering, and GTM teams, and help build the operational backbone that will support the next phase of OpenAI’s scale and evolution.

Your role will blend operational execution with process design, cross‑functional collaboration, and system optimization—critical for scaling our OTC function to support rapid growth and global operations.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In This Role, You Will

• Own end to end operational readiness for new monetization launches including testing, reconciliation, invoicing integrity, go live execution, and post launch hypercare.
• Scale work through BPO and offshore teams, including workflow design, SOP development, training enablement, and quality controls to ensure consistent and accurate execution in the Order Management and Billing process.
• Embed AI and automation directly into Order Management and Billing workflows to reduce rework, eliminate manual intervention, and proactively identify discrepancies before they become billing or revenue impacting issues.
• Partner cross‑functionally with Revenue Systems, Product, Engineering, GTM, Legal, and Deal Desk to ensure quoting, configuration, provisioning, billing, and ERP stay aligned and integrated as new products and pricing models launch.
• Build and enforce controls and segregation of duties, ensuring documentation, approvals, reconciliations, and exception handling are clear, repeatable, and audit ready.
• Ensure data completeness and accuracy during month end close by validating that all order, pricing, billing, and usage information is fully captured and reconciled before flowing into revenue systems.
• Establish KPIs and performance dashboards that measure billing accuracy, cycle times, automation rates, customer escalations, and overall operational throughput to guide decision‑making and prioritization.
• Develop and maintain operational documentation (SOPs, playbooks, runbooks, training pathways) to support consistent execution and team scalability.

You Might Thrive in This Role If You Have

• 7+ years of experience across Order-to-Cash, Order Management, and Billing Operations within a SaaS, enterprise software, or high-growth technology environment.
• In-depth knowledge of SaaS billing models, including subscription, usage‑based, and hybrid structures.
• Hands‑on experience with CPQ, ERP, and billing platforms (e.g., Salesforce, Oracle Fusion, NetSuite, Stripe, Metronome).
• Exceptional communication skills, capable of cross‑functional collaboration and efficient resolution of customer issues.
• High detail orientation and a data‑driven mindset, skilled in analyzing complex billing scenarios and driving continuous process enhancements.
• A strong understanding of month‑end close, reconciliations, and SOX compliance frameworks.
• Demonstrated success driving automation initiatives and system implementations across the OTC cycle.
• Strong problem‑solving abilities with a proactive approach.
• Experience thriving in dynamic environments and demonstrating the ability to navigate ambiguity, solve complex problems, and manage timelines effectively in a fast‑paced, ever‑evolving setting.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s affirmative action and equal employment opportunity policy statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.