OpenAI· Applied AI Engineering· San Francisco
Engineering Manager, Order Systems
Comp$293K – $385K
Classified Tasks (23)
Automate 0%Augment 48%Human-Only 52%
Augment (11)
AI assists, human decides
Build and operate workflows to power quoting, tracking, and fulfillment for products sold by OpenAI.
technical
Build critical billing and invoicing capabilities.
technical
Ensure financial integrity, auditability, and a transparent onboarding and billing journey for enterprise customers.
operational
Own the architecture and roadmap for order data flows into downstream systems (e.g., provisioning, billing/invoicing, revenue workflows).
technical
Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition.
technical
Minimize manual steps while maximizing correctness and traceability in order and billing workflows.
operational
Improve accuracy and timeliness of provisioning, billing, and invoicing through automation, validation, and reconciliations.
operational
Reduce operational load and manual intervention by implementing automation, validation, and reconciliation processes.
operational
Establish operational practices including observability, alerting, runbooks, and on-call procedures to maintain system health.
operational
Translate cross-functional requirements into technical implementations and auditable workflows.
technical
Create frameworks and abstractions that scale as OpenAI’s commercial footprint expands.
technical
Human-Only (12)
Requires human judgment
Lead a team of engineers responsible for order management automation.
leadership
Grow the engineering team responsible for order management automation.
leadership
Partner on customer-facing billing experiences to support onboarding and billing journeys.
communication
Partner with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows.
communication
Drive clarity across ambiguous problem spaces and evolving product offerings.
leadership
Set high engineering standards through technical direction and design reviews.
leadership
Mentor and teach engineers to raise technical capability and ownership.
leadership
Recruit and retain engineering talent for the order systems team.
leadership
Manage stakeholders and coordinate cross-functional work.
leadership
Scope work to balance customer needs with realistic deliverables.
analytical
Collaborate with GTM and Finance teams to tailor the billing stack to internal requirements.
communication
Ensure products are monetized effectively to accommodate customers' varying needs and scales.
analytical
Job description
Engineering Manager, Order Systems | OpenAI Careers ## Engineering Manager, Order Systems Applied AI Engineering - San Francisco Apply now(opens in a new window) **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