Why This Job is Featured on The SaaS Jobs
This role stands out in the SaaS ecosystem because it sits on the revenue-critical path for a productized platform, where usage, delivery, and billing must reconcile cleanly. Building monetization systems for an ads offering tied to a large-scale AI product highlights a trend in modern SaaS: turning high-demand platforms into durable businesses through metering, pricing, and financially correct event pipelines.
For a SaaS engineer, the career compounding comes from working where product signals become money flows. Experience designing auditable data models, enforcing invariants, and operating low-latency services translates directly to other subscription and usage-based businesses, especially those with complex entitlements and multi-surface billing. The cross-functional touchpoints with finance, product, data science, and go-to-market mirror how mature SaaS organizations ship revenue features without breaking accounting, trust, or reporting.
The position is best suited to engineers who like ambiguity in problem definition but insist on precision in outputs. It fits someone comfortable owning correctness end-to-end, from instrumentation through reconciliation, and who values collaboration outside engineering as part of delivering reliable monetization infrastructure.
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
The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow.
Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth.
Within Applied Engineering, the Ads Monetization team in Financial Engineering builds the core systems dealing with all the money flows for ChatGPT Ads. These systems are a combination of low-latency, high scale, high reliability, while being built in a financially correct, accurate, auditable and explainable way. This role sits at the intersection of ads delivery, data engineering, and financial systems.
In this role, you will:
Architect and build the core monetization systems for ChatGPT Ads.
Build and operate the core services and pipelines that power ads monetization end-to-end, from event capture and validation through aggregation, pricing, metering, and ultimately producing billable outputs.
Define and implement the source of truth for ads monetization data, including schemas, data models, and invariants that ensure outputs are consistent, explainable, and auditable.
Own correctness and reconciliation: align production outputs with downstream invoicing/finance requirements, build controls/monitors, and close gaps through investigations and backfills.
Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users.
Collaborate closely with a wide array of stakeholders, including the Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.
You might thrive in this role if you:
Possess a minimum of 5 years of professional software engineering experience.
Bring significant experience in developing (and redeveloping) distributed systems to launch new product capabilities and to handle scaling challenges.
Enjoy engaging with various partners, particularly those outside of engineering.
Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others.
Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs.
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
Experience with ads systems is a plus, but not required.
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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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.
