Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API
ChatGPT
Data Engineering
Data Science
Distributed Systems @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Applied Engineering Ads Monetization team in Financial Engineering builds the core systems responsible for money flows for ChatGPT Ads. These systems combine low latency, high scale, and high reliability with financial correctness, accuracy, auditability, and explainability. The role sits at the intersection of ads delivery, data engineering, and financial systems.
Responsibilities
- Architect and build the core monetization systems for ChatGPT Ads.
- Build and operate core services and pipelines that power ads monetization end to end, from event capture and validation through aggregation, pricing, metering, and the production of billable outputs.
- Define and implement the source of truth for ads monetization data, including schemas, data models, and invariants that ensure outputs are consistent, explainable, and auditable.
- Own correctness and reconciliation by aligning production outputs with downstream invoicing and finance requirements, building controls and monitors, and closing gaps through investigations and backfills.
- Develop across the stack to create comprehensive billing integrations for ChatGPT and API users.
- Collaborate with Ads Engineering, Data Science, Product, Finance, Go-To-Market teams, and other engineers.
Requirements
- At least 5 years of professional software engineering experience.
- Significant experience developing and redeveloping distributed systems to launch new product capabilities and address scaling challenges.
- Strong ability to engage with partners outside of engineering.
- Willingness and ability to learn new skills and communicate knowledge clearly and succinctly.
- Strong focus on creating exceptional user experiences and products that address customer needs.
- Ability to move quickly in an environment with loosely defined requirements and competing priorities or deadlines.
- Experience with advertising systems is a plus but is not required.
Benefits
- Equity, performance-related bonuses for eligible employees, and benefits including medical, dental, and vision insurance.
- Health Savings Accounts, flexible spending accounts, commuter benefits, and a 401(k) retirement plan with employer match.
- Paid parental, medical, caregiver, sick, and safe leave.
- Flexible paid time off for exempt employees and up to 15 days annually for non-exempt employees.
- Paid company holidays and office closures.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
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