Backend Engineer, Monetization
LaunchDarklySalary not specified
- Full Time
- Junior (1 to 2 years)
$310,000 – $450,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Fintech, Enterprise SoftwareIndustries
Requirements
Candidates should possess a minimum of 5 years of professional software engineering experience, with additional experience in payments, billing, or monetization considered a bonus. A strong desire to learn and acquire new skills is essential, along with the ability to communicate knowledge clearly. Significant experience in developing production systems to launch new product capabilities and handle scaling challenges is required, as well as a commitment to creating an exceptional user experience.
Responsibilities
The Software Engineer will architect and build the next generation of billing and monetization systems at OpenAI. They will develop across the stack to create comprehensive billing integrations for ChatGPT and API users. The role involves designing a versatile billing platform suitable for subscription and usage-based offerings, constructing tools that empower internal teams to incorporate billing data, and collaborating with stakeholders including Product, Data, Finance, and Go-To-Market teams.
Skills
Payments
Billing
Monetization
Architecture
System Design
SQL
Python
Go
Data Integration
Product Development
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees