Engineering Manager, Order Automation

OpenAI • San Francisco, CA

7d

About The Position

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.
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.

Requirements

• 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 Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed