Software Engineer, Monetization Infrastructure (SF/Seattle)
Backend Engineer · Senior · Full Time
Opens OpenAI's application page
Role
What you'll do.
OpenAI is seeking a Senior Software Engineer to build foundational infrastructure for their new Monetization team, developing privacy-preserving ads and monetization systems. This role requires 10+ years of distributed systems experience and involves architecting scalable backend infrastructure, APIs, and internal platforms to support ads creation, delivery, and optimization at global scale. The position is based in San Francisco or Seattle with competitive compensation and equity.
Responsibilities
- Infrastructure Architecture: Design and build foundational backend and infrastructure systems powering OpenAI's monetization and advertising platforms
- Distributed Systems Development: Architect large-scale distributed systems meeting strict requirements for reliability, privacy, security, and performance
- API and Platform Development: Develop APIs, infrastructure services, and internal platforms supporting ads creation, delivery, measurement, and optimization
- Cross-functional Collaboration: Work closely with Product, Research, and Design teams to translate requirements into scalable technical solutions
- 0-to-1 Infrastructure Development: Drive greenfield infrastructure development through rapid prototyping, experimentation, and iterative improvements
- Technical Strategy: Contribute to long-term technical strategy and roadmap for the monetization infrastructure stack
- Engineering Excellence: Ensure high engineering standards through comprehensive testing, documentation, observability, and operational best practices
- Privacy and Safety Implementation: Build systems with safety, privacy, fairness, and policy alignment considerations from first principles
- Cross-organizational Coordination: Collaborate across engineering organizations to ensure infrastructure is flexible, performant, and resilient
Qualifications
What we look for.
Technical
Distributed Systems Expertise
10+ years of experience building and operating large-scale distributed systems
Mission-Critical Systems
Experience designing systems with demanding reliability, performance, and correctness requirements
Systems Thinking
Strong understanding of architecture, data flows, operational concerns, observability, and long-term maintainability
Backend Development
Proficiency in backend languages like Go, Python, Java, or Rust for building scalable services
Database Systems
Experience with relational and NoSQL databases, data modeling, and query optimization
Cloud Platforms
Hands-on experience with AWS, GCP, or Azure for deploying and managing distributed systems
Containerization
Proficiency with Docker, Kubernetes, and container orchestration platforms
API Design
Experience designing RESTful APIs and gRPC services for high-throughput applications
Education
Bachelor's Degree
Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred
Advanced Degree
Master's degree in Computer Science or equivalent experience in distributed systems
Experience
Senior-Level Experience
Minimum 10+ years of professional software engineering experience
0-to-1 Development
Experience defining technical direction in ambiguous greenfield environments
Cross-functional Collaboration
Proven ability to work cross-functionally to shape product requirements and system capabilities
Ads/Monetization Experience
Bonus: Experience in ads systems, marketplaces, AI/ML infrastructure, or monetization-intensive domains
Leadership Experience
Experience mentoring engineers and leading technical initiatives in complex environments
Skills
Required
Distributed Systems
10+ years building and operating large-scale distributed systems
Backend Development
Expert-level proficiency in Go, Python, Java, or Rust
System Architecture
Ability to design scalable, reliable, and maintainable system architectures
Database Design
Experience with both SQL and NoSQL databases, data modeling, and optimization
API Development
Proficiency in RESTful APIs, gRPC, and microservices architecture
Cloud Platforms
Hands-on experience with AWS, GCP, or Azure services
DevOps Practices
Experience with CI/CD, infrastructure as code, and automated deployment
Monitoring & Observability
Implementation of comprehensive logging, monitoring, and alerting systems
Preferred
Ads Systems
Nice to haveExperience building advertising platforms, real-time bidding, or ad serving systems
AI/ML Infrastructure
Nice to haveBackground in machine learning infrastructure and model serving platforms
High-Frequency Systems
Nice to haveExperience with low-latency, high-throughput financial or trading systems
Privacy Engineering
Nice to haveKnowledge of privacy-preserving technologies and compliance frameworks
Marketplace Development
Nice to haveExperience building two-sided marketplaces or monetization platforms
Security Engineering
Nice to haveUnderstanding of security best practices and threat modeling
Performance Optimization
Nice to haveExpertise in system performance tuning and scalability optimization
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 230,000 – 385,000
Equity·Stock options
Benefits
Equity Compensation
Significant equity participation in one of the world's most valuable AI companies
Relocation Assistance
Comprehensive relocation package for candidates moving to San Francisco or Seattle
Health Insurance
Premium medical, dental, and vision coverage for employees and dependents
Retirement Benefits
401(k) plan with company matching and investment options
Professional Development
Learning budget for conferences, courses, and skill development opportunities
Flexible PTO
Unlimited paid time off policy with encouraged time away from work
Parental Leave
Generous parental leave policies for new parents
Mental Health Support
Mental health resources and wellness programs
Office Perks
Premium office spaces in San Francisco and Seattle with meals and amenities
Process
Interview steps.
- 01
Initial Screening
Phone or video call with recruiter to discuss background, role fit, and compensation expectations
- 02
Technical Phone Screen
45-60 minute technical interview covering system design concepts and coding fundamentals
- 03
System Design Interview
Deep-dive system design session focused on distributed systems architecture and scalability
- 04
Coding Interview
Live coding session emphasizing backend development, algorithms, and problem-solving approach
- 05
Cross-functional Interview
Behavioral interview with Product or Research team members assessing collaboration skills
- 06
Final Round Interview
On-site or virtual panel with senior engineers and hiring manager covering technical depth and cultural fit
- 07
Reference Checks
Professional references contacted to verify experience and work style
Full posting
Original listing.
About the Team
The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.
Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.
This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.
About the Role
We’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation.
You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives.
This role is exclusively based across our San Francisco & Seattles sites. We offer relocation assistance to new employees.
In this role, you will:
Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systems
Architect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performance
Develop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimization
Work closely with Product, Research, and Design to translate requirements into scalable technical solutions
Drive 0→1 infra development through rapid prototyping, experimentation, and iterative improvements
Contribute to the long-term technical strategy and roadmap for the monetization infra stack
Ensure high engineering rigor through excellent testing, documentation, observability, and operational best practices
Build for safety, privacy, fairness, and policy alignment from first principles
Collaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient
You might thrive in this role if you:
Have 10+ years of experience building and operating large-scale distributed systems
Have experience designing mission-critical systems with demanding reliability, performance, and correctness requirements
Think in systems—architecture, data flows, operational concerns, observability, and long-term maintainability
Are comfortable defining technical direction in ambiguous 0→1 environments
Enjoy working cross-functionally to shape product requirements and system capabilities
Communicate clearly, reason holistically, and make decisions grounded in user needs and long-term system health
Bonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domains
About OpenAI
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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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.
OpenAI Global Applicant Privacy Policy
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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