Why This Job is Featured on The SaaS Jobs
Revenue enablement sits at a key pressure point in modern SaaS: turning new pricing, packaging, and routes to market into reliable quote to cash execution. This Senior Manager role is featured because it is explicitly tied to monetization expansion across multiple commercial motions, where billing, deal desk, revenue accounting, and systems must stay aligned as products and business models evolve.
For a SaaS operator, the career upside is the chance to build durable expertise in the workflows that determine whether recurring revenue scales cleanly. Owning a revenue systems roadmap, translating finance requirements into engineering work, and running UAT and launch readiness develops a rare blend of domain fluency and delivery discipline. Experience here tends to transfer well across SaaS companies that rely on CRM, CPQ, billing, ERP, and reporting stacks to support enterprise and self serve growth.
This role is best suited to professionals who like being the connective tissue between Finance, Systems, and Engineering, and who prefer structured problem solving over ad hoc firefighting. It will fit someone comfortable with ambiguity, strong documentation habits, and a control minded approach to automation and data quality in revenue processes.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.
About the Role
As OpenAI scales monetization across self-serve, enterprise, partnerships, ads, and emerging business models, we need a strong operator to bridge Revenue business needs with technical execution. This role will sit at the center of Finance, Systems, and Engineering to ensure revenue capabilities are designed, prioritized, tested, and launched in a scalable and controlled way.
The Revenue Enablement Senior Manager will own the business-side systems roadmap for Revenue, translating finance and operational requirements into executable workstreams across Financial Engineering and Business Platform teams. This person will drive launch readiness, controls, process automation, and continuous improvement across deal-to-cash and revenue operations workflows.
This is ideal for someone who combines finance systems fluency, program management rigor, and strong cross-functional influence.
In this role, you will:
Own the Revenue business systems roadmap across quoting, billing, invoicing, collections, rev rec support, reporting, and close enablement.
Translate Revenue Accounting, Billing Ops, Deal Desk, and Finance requirements into clear BRDs, requirements docs, process flows, and prioritized engineering asks.
Serve as Revenue DRI for system initiatives delivered by Financial Engineering and Enterprise Business Platform teams.
Lead end-to-end UAT, launch readiness, and hypercare for monetization and systems launches.
Design scalable operational processes and controls that reduce manual work and improve close accuracy.
Partner with FinEng, Enterprise Business Platform, GTM Systems, Accounting, Tax, FP&A, and Product teams to enable new business models.
Drive continuous improvement across existing tooling, workflows, and data quality.
You might thrive in this role if:
8+ years in Revenue Operations, Finance Systems, Billing Operations, Revenue Accounting, or BizOps.
Experience owning business requirements for systems builds with engineering teams.
Strong program management skills across cross-functional initiatives.
Deep familiarity with quote-to-cash workflows (CRM, CPQ, billing, ERP, reporting).
Strong analytical skills with SQL / data reconciliation mindset.
Knowledge of ASC 606 and revenue controls.
Strong judgment, clear communication, and the ability to operate independently in ambiguous, fast-moving environments.
Passion for technology, AI, and building systems and processes that scale responsibly.
Workplace & Location
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
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.
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