Software Engineer, Financial Engineering
OpenAI · San Francisco, CA · 6 days ago
HybridInformation Technology$230k–$385k/yrFull-time
About the Team
The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released groundbreaking products such as ChatGPT, Plugins, DALL·E, and APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure. Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements.
Responsibilities
- Architect and build the next generation of billing and monetization systems at OpenAI.
- Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users.
- Design a versatile billing platform suitable for both subscription and usage-based offerings, ensuring scalability and enterprise readiness/flexibility.
- Construct and integrate tools that empower internal teams to seamlessly incorporate billing data into their workflows.
- Collaborate closely with a wide array of stakeholders, including the Product, Data, Finance, and Go-To-Market teams, as well as fellow engineers.
Requirements
- Possess a minimum of 5 years of professional software engineering experience, with added experience in payments, billing, or monetization seen as a bonus.
- Enjoy engaging with various partners, particularly those outside of engineering.
- Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others.
- Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges.
- Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
Pay
Compensation range: $230K - $385K