Software Engineer, Monetization Data Platform

About the Team

The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences.

We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business.

About the Role

We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation.

This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities.

In this role, you will

Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities.

Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems.

Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems.

Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products quickly and safely.

Partner with Product, Design, Data, Finance, Accounting, and GTM teams to translate customer and business needs into robust technical solutions.

Lead the technical design and delivery of complex, cross-functional projects, using clear system designs and RFCs to align partners before implementation and making sound tradeoffs among product velocity, scalability, reliability, and maintainability.

Improve the observability and operational excellence of critical services, including monitoring, incident response, root-cause analysis, capacity planning, and long-term remediation.

Mentor other engineers, contribute to architecture and code reviews, write clear documentation, and share knowledge across teams to elevate the broader engineering organization.

You might thrive in this role if you

Possess a minimum of 5 years of professional software engineering experience with deep experience building and operating production software systems, backend services, or distributed systems at scale.

Are highly proficient in at least one general-purpose programming language such as Go, Java, Python, Rust, or C++, with strong computer science fundamentals.

Have strong fundamentals in API design, data modeling, storage systems, distributed systems, and event-driven architecture.

Have designed systems with rigorous correctness, reliability, observability, security, privacy, or access-control requirements.

Can collaborate with cross-functional partners to identify needs, navigate ambiguity, and drive progress from problem definition through delivery.

Bring a product-oriented mindset and communicate clearly with technical and non-technical partners, translating customer and business problems into simple, scalable system designs.

Care deeply about correctness and operational reliability while maintaining a practical bias toward delivering customer and business value.

Bring a strong sense of engineering excellence, using clear thinking, sound judgment, and a design-before-implementation approach to create maintainable systems.

Command strong sense of engineering excellence, contribute to a design-before-implementation approach with clear documentation, and knowledge sharing across teams to elevate the broader engineering organization.

Nice to have

Experience with monetization, pricing, billing, ads, payments, entitlements, subscriptions, or other financial products.

Familiarity with financial correctness, reconciliation, compliance, or audit requirements.

Experience with high-scale distributed systems, transactional workflows, event streaming, or payment infrastructure.

Experience building internal platforms, shared frameworks, APIs, or developer tooling used by other engineering teams.

Monetization or finance domain experience is helpful but not required. We value strong software engineering judgment, systems thinking, and the ability to learn a complex domain quickly.

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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