Engineering Manager, Order Systems

About the Team
Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements.

About the role

We are looking for an Engineering Manager to build and operate the workflows to power quoting, tracking, and fulfillment for everything sold by OpenAI. We also build critical billing and invoicing capabilities (and partner closely on customer-facing billing experiences) to ensure financial integrity, auditability, and a seamless, transparent onboarding and billing journey for enterprise customers.

In this role you will:

• Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding.

• Own the architecture and roadmap for order data flows into downstream systems (e.g., internal provisioning services, billing/invoicing services, and revenue workflows).

• Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition-minimizing manual steps while maximizing correctness and traceability.

• Improve accuracy and timeliness of provisioning, billing, and invoicing-reducing manual intervention and operational load through automation, validation, and reconciliations.

• Establish strong operational practices (observability, alerting, runbooks, on-call) so systems remain healthy without constant human oversight.

• Partner deeply with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows.

• Drive clarity across ambiguous problem spaces and evolving product offerings; create frameworks and abstractions that scale as OpenAI's commercial footprint expands.

• Set high engineering standards via technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement.

• Bring strong leadership: teach and level up engineers, recruit and retain talent, manage stakeholders, and scope work to balance customer needs with realistic deliverables.

You might thrive in this role if you:

• Have 7+ years of professional software engineering experience, including 3+ years leading engineers or managing teams.

• Have experience integrating revenue platforms (e.g., CPQ, billing, invoicing, revenue recognition, entitlement systems).

• Have built or operated complex commerce / SaaS ordering systems.

• Are strong in systems design, data modeling, and building reliable distributed services and workflows.

• Have experience in domains where correctness, auditability, and reconciliation are essential (e.g., payments, ERP/finance systems, invoicing/revenue recognition).

• Can lead (or effectively partner on) customer-facing billing experiences with a focus on clarity, accessibility, and trust.

• Care deeply about operational excellence and building systems that are observable, predictable, and resilient.

• Communicate clearly, build trust, and lead with context rather than control; you're energized by close cross-functional partnership.

Nice to Have

• Experience with large-scale SaaS billing or enterprise account provisioning; usage-based and/or seat-based pricing; invoice generation at scale.

• Familiarity with finance and revenue operations concepts (e.g., proration, credits/adjustments, revenue schedules).

• Exposure to common CRM/ERP and payment ecosystems (e.g., CPQ, invoicing, collections, payment processors), without reliance on any single vendor.

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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

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.

Compensation Range: $293K - $385K