Quote to Cash Systems Engineer

About the team

OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Revenue Operations team is responsible for equipping and enabling the Go To Market (GTM) as they seek to help customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our GTM team exists to help customers understand the transformational potential of OpenAI's models, and we believe our own systems should reflect that same intelligence. We're looking for a talented Order to Cash (OtC) Engineer to partner with our Financial Engineering, Finance Platform Technology, and Order-Management teams. This is an execution-heavy, builder role: you'll take scoped technical outcomes, like new order-capture objects, fulfillment triggers, tax & billing integrations, SKU and entitlement governance-and turn them into well-tested, production-ready Salesforce configurations and custom code.

While you'll still touch with OpenAI's CPQ deployment when needed, the primary charter of this role is order-management logic, financial integrations, and compliance-ready automations that keep deals flowing cleanly from Opportunity close through invoicing and revenue recognition

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

In this role, you'll:

• Build custom order-to-cash solutions in Salesforce: Develop order-capture objects, fulfillment triggers, financial approval workflows, and entitlement logic that move deals cleanly from Opportunity close through invoicing and revenue recognition.

• Engineer integrations with finance and billing systems: Connect Salesforce to ERP , tax engines, billing platforms, CLM, and e-signature tools to keep data accurate and auditable across the entire revenue lifecycle.

• Implement scoped technical outcomes: Take detailed requirements from the opportunity to order pod's Lead Technologist and translate them into production-ready Flows, validation rules, Platform Events, and Apex code where needed for scale or performance.

• Test, troubleshoot, and document: Own QA for new builds, resolve production issues quickly, and maintain clear documentation aligned with Copado-driven change-management, SOX/SOC2 controls, and deployment best practices.

• Partner cross-functionally: Collaborate daily with FinEng, Fin Systems, Order Management, Sales Ops, Billing, and Legal Ops to ensure SKUs, pricebooks, and workflows stay accurate, compliant, and resilient as our product catalog and policies evolve.

You might thrive in this role if you have:

• Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across opportunity, quote, order, and billing domains.

• Proven experience designing and implementing robust integrations using REST, Platform Events, and data sync patterns between Salesforce and external systems.

• QTC & finance-system experience: Familiarity with CPQ and order-management objects, product catalog governance, consumption- vs subscription-based pricing, tax & billing integrations, and data reconciliation with downstream ERPs.

• Execution and quality focus: Proven ability to build, test, and deploy scoped solutions in a regulated, change-controlled environment-keeping integrations intact and documentation audit-ready.
  Collaborative problem-solver: Strong cross-functional communication skills and a track record of partnering with finance and operations teams to design resilient revenue workflows at scale.

• (Nice-to-have) Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

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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: $228K