OpenAI

Software Engineer, Ads Monetization, Revenue Platform

OpenAI1 weeks ago
Location

San Francisco

Type

Full Time

Salary

USD 230,000 – 385,000

Level

Senior

Role

Backend Engineer

Posted

Mar 2, 2026

Full TimeSenior

The role

Summary

OpenAI's Applied Engineering team seeks a Software Engineer to architect and build core monetization systems for ChatGPT Ads, focusing on high-scale financial data pipelines, billing integrations, and revenue platform infrastructure. The role requires 5+ years of experience in distributed systems and combines ads delivery, data engineering, and financial systems expertise.

What you'll do

Core Monetization Architecture: Architect and build the foundational monetization systems for ChatGPT Ads, ensuring scalability and financial accuracy
End-to-End Pipeline Development: Build and operate comprehensive services and pipelines covering event capture, validation, aggregation, pricing, metering, and billing output generation
Data Schema Design: Define and implement authoritative data schemas, models, and invariants to ensure consistent, explainable, and auditable monetization outputs
Financial Reconciliation: Own correctness validation and reconciliation processes, aligning production outputs with downstream invoicing and finance requirements
Billing Integration Development: Develop full-stack billing integrations to support diverse ChatGPT and API user segments
Cross-Functional Collaboration: Partner closely with Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams to deliver cohesive solutions
Monitoring and Controls: Build comprehensive monitoring systems and automated controls to detect and resolve data discrepancies
Gap Analysis and Backfill: Investigate production issues and implement backfill processes to maintain data integrity and financial accuracy

What we look for

Technical

Distributed Systems ExpertiseExtensive experience developing and scaling distributed systems for high-throughput, low-latency applications
Financial Systems KnowledgeUnderstanding of financial data processing, billing systems, and monetary transaction handling
Data Pipeline EngineeringProficiency in building robust data pipelines for real-time and batch processing at scale
System Architecture DesignAbility to design scalable, fault-tolerant architectures for mission-critical financial systems
Database OptimizationExperience with both relational and NoSQL databases, including performance optimization and data modeling

Education

Bachelor's DegreeBachelor's degree in Computer Science, Engineering, or related technical field preferred
Advanced DegreeMaster's degree in Computer Science, Software Engineering, or equivalent experience considered valuable

Experience

Professional Software DevelopmentMinimum 5 years of professional software engineering experience in production environments
Distributed Systems ExperienceSignificant experience building and scaling distributed systems to handle growth and product launches
Cross-Functional CollaborationProven track record working with non-engineering stakeholders including product, finance, and business teams
Fast-Paced EnvironmentExperience thriving in ambiguous environments with competing priorities and tight deadlines
Ads Systems ExperienceExperience with advertising technology and monetization systems preferred but not required

Skills

Required skills

Backend DevelopmentStrong proficiency in backend service development using modern programming languages
System DesignAbility to design scalable, high-availability systems for financial and advertising applications
Data EngineeringExperience with large-scale data processing, ETL pipelines, and real-time streaming
Financial SystemsUnderstanding of billing, invoicing, and financial data reconciliation processes
Problem SolvingStrong analytical and debugging skills for complex distributed systems issues

Nice to have

Advertising TechnologyExperience with ad serving, monetization platforms, and programmatic advertising
Machine Learning OperationsUnderstanding of ML model deployment and inference infrastructure
Cloud ArchitectureExperience designing and operating cloud-native applications at scale
Financial EngineeringBackground in quantitative finance, trading systems, or financial technology
Real-Time SystemsExperience with low-latency, high-throughput real-time processing systems

Compensation & benefits

Salary

USD 230,000 – 385,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Competitive equity package with significant upside potential in a rapidly growing AI company

Health Insurance

Comprehensive medical, dental, and vision coverage for employees and families

Learning and Development

Professional development opportunities including conferences, courses, and internal training programs

Flexible Work Environment

Hybrid work model with modern office facilities in San Francisco

Cutting-Edge Technology Access

Early access to OpenAI's latest AI models and tools for professional development

Mission-Driven Work

Opportunity to work on AI technology that benefits humanity and shapes the future

Equal Opportunity Employment

Inclusive workplace with commitment to diversity and equal employment opportunities


Interview process

  1. 1
    Initial Screening Phone or video screening with recruiting team to discuss background, interests, and role alignment
  2. 2
    Technical Phone Interview 45-60 minute technical interview focusing on system design, coding, and problem-solving skills
  3. 3
    System Design Interview Deep-dive technical interview on distributed systems architecture, scalability, and trade-offs
  4. 4
    Cross-Functional Interview Behavioral interview assessing collaboration skills, communication with non-engineering stakeholders, and cultural fit
  5. 5
    Final Panel Interview On-site or virtual panel with team members and leadership to discuss technical depth, project approach, and team dynamics
  6. 6
    Reference and Background Check Final verification of background, references, and completion of any required security clearance processes

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