# Software Engineer, Monetization Data Platform

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Mountain View, CA
**Role:** Backend Engineering
**Salary:** $293k – $385k/yr
**Experience:** 5+ years
**Skills:** Go, Java, Python, Rust, C++, API Design, Data Modeling, storage systems, Distributed Systems, Event-Driven Architecture, event streaming, payment infrastructure, Observability, Access Control, rfcs
**Posted:** 2026-08-04

> Build and operate scalable backend systems and data workflows supporting pricing, billing, payments, ads, and other monetization capabilities. The role requires at least five years of software engineering experience, strong distributed-systems fundamentals, and the ability to lead complex cross-functional technical projects.

## Job Description

## Responsibilities
- Design, improve, and operate reliable, scalable backend services supporting pricing, billing, ads, payments, entitlements, and other monetization capabilities.
- Own architecture and implementation of monetization data workflows, data contracts, and integrations across product and business systems.
- Establish guarantees for correctness, availability, security, performance, reconciliation, and auditability.
- Build reusable platform capabilities and developer tools for launching, measuring, and iterating on monetization products.
- Partner with Product, Design, Data, Finance, Accounting, and GTM teams to translate business needs into robust technical solutions.
- Lead technical design and delivery of complex cross-functional projects using system designs and RFCs.
- Improve observability and operational excellence through monitoring, incident response, root-cause analysis, capacity planning, and remediation.
- Mentor engineers, participate in architecture and code reviews, document systems, and share knowledge.

## Requirements
- Minimum **5 years** of professional software engineering experience building and operating production software, backend services, or distributed systems at scale.
- Proficiency in at least one general-purpose programming language, such as Go, Java, Python, Rust, or C++.
- Strong computer science fundamentals and experience with 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, navigate ambiguity, and drive projects from problem definition through delivery.
- Product-oriented mindset and clear communication with technical and non-technical partners.
- Strong engineering judgment, documentation skills, and a design-before-implementation approach.

## Nice-to-haves
- Experience with monetization, pricing, billing, ads, payments, entitlements, subscriptions, or 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 engineering teams.

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