Quote to Cash Systems Engineer at OpenAI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

SalesforceCPQOrder-to-CashFinancial IntegrationsBilling IntegrationsTax IntegrationsEntitlementsFulfillment TriggersApproval WorkflowsCustom Code

Questions & Answers

Common questions about this position

What is the salary for this Quote to Cash Systems Engineer position?

The salary is $228K.

Is this role remote or hybrid, and what's the office requirement?

This is a hybrid role requiring 3 days in the San Francisco office per week, with relocation assistance offered to new employees.

What key skills are required for this role?

Key skills include building custom Salesforce solutions like Flows, validation rules, Platform Events, and Apex code; engineering integrations with ERP, tax engines, billing platforms, CLM, and e-signature tools; and testing, troubleshooting, and documentation with Copado, SOX/SOC2 compliance.

What is the team like at OpenAI for this role?

The Revenue Operations team equips the Go To Market (GTM) team, made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals, working with Financial Engineering, Finance Platform Technology, and Order-Management teams to enable AI product deployment.

What makes a strong candidate for this position?

A strong candidate is execution-heavy and builder-oriented, able to take scoped technical outcomes from requirements and translate them into production-ready Salesforce configurations, custom code like Apex, Flows, and integrations while ensuring compliance and collaboration across teams.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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