OpenAI

Software Engineer, Monetization Data Platform

OpenAI$150K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 5 years of professional experience in software engineering, particularly with production software systems or distributed systems.
  • Proficiency in programming languages like Go, Java, Python, Rust, or C++ with strong computer science fundamentals.
  • Strong understanding of API design, data modeling, storage systems, and event-driven architectures.
  • Experience designing systems with high standards for correctness, reliability, observability, and security.
  • Ability to work collaboratively with cross-functional teams to identify and solve problems.

Responsibilities

  • Design and operate scalable backend services for pricing, billing, and other monetization capabilities.
  • Own the architecture and workflows for monetization data and integrations across systems.
  • Establish guarantees for system correctness, availability, and performance.
  • Build developer tools that aid product teams in launching and iterating on monetization products.
  • Lead technical design and delivery of complex projects, aligning partners effectively.
  • Enhance the observability and operational excellence of critical systems.
  • Mentor engineers and contribute to architecture and code reviews.

Benefits

  • Opportunity to work on high-impact platform systems that shape monetization.
  • Collaborative environment with cross-functional teams, enhancing teamwork skills.
  • Hands-on role with significant ownership over project development and outcomes.
  • Opportunity to mentor and elevate the skills of other engineers.
  • Focus on engineering excellence and proactive problem-solving.
Full Job Description
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 artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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