
Software Engineer, Financial Engineering
Primary stack
Nice to have's
Job description
About the Position
Software Engineer, Financial Engineering
San Francisco
About the Team
OpenAI’s Applied AI organization transforms our latest model capabilities into products used by hundreds of millions of consumers, developers, and organizations worldwide. Our teams build the product experiences and platform foundations behind products like ChatGPT, Codex, our API platform, and offerings for businesses, enterprises, educational institutions, and other customers.
Financial Engineering powers how customers purchase, access, and pay for these products. We build the systems behind pricing and packaging, checkout, payments, subscriptions, usage-based billing, credits, entitlements, invoicing, and the broader order-to-cash lifecycle. Our work spans consumer subscriptions, self-serve businesses, sophisticated enterprise agreements, developer usage, and emerging monetization models.
These systems sit at the intersection of product experience and financial infrastructure. They must make it easy for customers to adopt OpenAI products while maintaining strong guarantees around correctness, reliability, security, reconciliation, and auditability. We partner closely with Product, Data Science, Finance, Accounting, Risk, Operations, and Go-to-Market teams to launch new offerings and build a financial platform that can evolve with OpenAI’s rapidly growing product portfolio.
We are looking for an experienced engineer to help architect and build the next generation of these systems.
Responsibilities
- Have 5+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
- Have strong fundamentals in API design, data modeling, storage systems, transactional workflows, and event-driven architecture.
- Have experience building systems where correctness, reliability, observability, security, or data integrity are especially important.
- Are comfortable owning ambiguous, business-critical problems from initial definition through launch and long-term operation.
- Bring a product-oriented mindset and care about creating simple, trustworthy experiences for both external customers and internal users.
- Communicate clearly with technical and non-technical partners and enjoy working closely with Product, Finance, Accounting, Operations, Data, and Go-to-Market teams.
- Make thoughtful tradeoffs between near-term delivery and long-term system quality.
- Move quickly and independently in an environment where requirements evolve, priorities compete, and the right solution is not always obvious.
Requirements
- 5+ years of professional software engineering experience.
- Strong fundamentals in:
- API design
- Data modeling
- Storage systems
- Transactional workflows
- Event-driven architecture
Nice to Have
- Experience with payments, subscriptions, billing, pricing, credits, entitlements, invoicing, revenue systems, or other monetization infrastructure.
- Experience with high-scale financial or transactional systems, reconciliation workflows, compliance requirements, or audit controls.
- Experience building shared platforms, APIs, frameworks, or developer tools used by multiple product teams.
We Offer
- Opportunity to work with cutting-edge AI technologies.
- Collaborative and innovative work environment.
- Competitive compensation package.
About the Company
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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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.
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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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