# Software Engineer, Monetization Data Platform — OpenAI

Canonical: https://jobxdubai.com/jobs/d2aad13c-6ed-software-engineer-monetization-data-platform
Location: -, Remote (remote)
Type: full_time · Level: senior
Monthly salary: AED 30,000 to 50,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-08-04
Apply: https://jobs.ashbyhq.com/openai/d2aad13c-6ed0-4905-ae12-8ea2397b190c/application

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## Description

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 Ope

## Requirements

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. Proficiency in at least one general-purpose programming language (Go, Java, Python, Rust, or C++) with strong computer science fundamentals. Strong fundamentals in API design, data modeling, storage systems, distributed systems, and event-driven architecture. Experience designing systems with rigorous correctness, reliability, observability, security, privacy, or access-control requirements. Ability to collaborate with cross-functional partners to translate customer and business needs into robust technical solutions. Product-oriented mindset with clear communication to technical and non-technical partners. Commitment to correctness and operational reliability with practical delivery focus. Demonstrated engineering excellence with design-before-implementation approach and strong documentation and knowledge sharing.

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