Why This Job is Featured on The SaaS Jobs
Revenue Operations is increasingly central to modern SaaS monetisation, and this role sits at the intersection of enterprise go to market and an emerging ads business line. The remit spans planning, capacity modelling, and incentive design, which signals a SaaS organisation that is formalising how it scales revenue while balancing platform trust and integrity. That combination is particularly relevant as more SaaS products add advertising or sponsored surfaces as a second engine alongside subscriptions.
For a SaaS operator, the long-term career value here is breadth across the revenue system rather than ownership of a single metric. Work that ties together headcount planning, quota and pipeline assumptions, and compensation mechanics builds a durable toolkit for navigating changing product lines and sales motions. The emphasis on reporting frameworks and executive communication also maps to how RevOps leaders influence strategy in data-driven SaaS environments.
This role is best suited to someone who prefers structured problem solving and cross functional coordination, and who is comfortable translating ambiguity into operating plans. It will appeal to professionals who enjoy modelling, program design, and stakeholder management, and who want their work to shape how a revenue organisation runs day to day across Sales, Finance, HR, and Operations.
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’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity.
About the role
Our team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. We are seeking a revenue operations leader to help drive the strategy, plans & execution of our Ads Solutions efforts in the enterprise.
We’re seeking an experienced Revenue Operations Lead to drive our Ads Solutions planning, capacity modeling, and compensation design. You will partner cross-functionally with Sales, Operations, Finance, and HR to ensure our Ads Solutions teams are well-equipped to meet business objectives. This role requires strong analytical skills, expert project management, and the ability to collaborate with senior stakeholders.
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.
In this role you will:
Oversee end-to-end planning for Ads Solutions (capacity, headcount, quotas, pipeline) and provide strategic recommendations. Collaborate with cross-functional teams to ensure alignment with company objectives.
Build & refine capacity models, partnering with Finance, Recruiting, Ops, and Ads Solutions Leadership for effective planning and hiring execution. Build a streamlined headcount management process.
Design, implement, and manage Ads Solutions incentive programs that boost productivity and revenue growth. Forecast the impact of plan changes and serve as the primary contact for compensation-related queries.
Develop reporting frameworks to measure Ads Solutions productivity and incentive program effectiveness. Present data-driven insights to leadership and evolve pricing/compensation models for continuous optimization.
Liaise with Ads Solutions Leadership, Finance, HR, and Operations teams for strategic alignment and transparent communication. Integrate best practices to optimize Ads Solutions performance.
You might thrive in this role if you have:
Extensive experience in revenue operations, strategy, and planning at a high-growth, technology company
Strong analytical skills and ability to translate data into impactful insights
Proficiency in compensation plan design and modeling
Working knowledge of Salesforce or equivalent CRM, plus sales commission software
Excellent communication and stakeholder management skills
Experience managing a team of 5+ operational team members
Deep experience designing, implementing and managing a sales compensation strategy
An understanding of the AI landscape, advertising, and the problems they solve for our customers
The ability to thrive in ambiguity and work autonomously
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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