Software Engineer, Monetization Product & Platform (SF/Seattle)
Backend Engineer · Senior · Full Time
Opens OpenAI's application page
Role
What you'll do.
OpenAI is seeking an experienced Software Engineer to join their new Monetization team, building foundational infrastructure and APIs for next-generation monetization and ads systems at global scale. This is a 0→1 greenfield role requiring 7+ years of experience in high-scale distributed systems, working closely with Product, Design, and Research teams to architect privacy-preserving, user-first monetization solutions.
Responsibilities
- Core Infrastructure Development: Design, build, and scale the foundational infrastructure behind OpenAI's monetization and ads products with high reliability and performance
- API Development: Develop advertiser-facing APIs and tools that enable creation, management, and measurement of ads campaigns
- External Integrations: Build integrations with external partners and create enterprise-grade monetization products for business clients
- Distributed Systems Architecture: Architect distributed systems and services operating at massive scale with strong reliability, usability, privacy, and performance guarantees
- Cross-functional Collaboration: Work closely with Product, Research, and Design teams to translate requirements into high-quality technical solutions
- 0→1 Product Development: Drive greenfield product development through rapid prototyping, experimentation, and iterative deployment cycles
- Technical Strategy: Contribute to technical strategy, propose new architectural directions, and help shape the roadmap for monetization platforms
- Engineering Excellence: Maintain high engineering rigor through comprehensive testing, documentation, and operational best practices
- Safety and Privacy Compliance: Uphold the highest levels of safety, privacy, fairness, and policy compliance across all monetization systems
- Process Improvement: Continuously refine engineering processes, culture, and best practices within a fast-moving, multidisciplinary team environment
Qualifications
What we look for.
Technical
Distributed Systems Experience
7+ years building high-scale consumer, enterprise, or ads-related distributed systems
System Architecture
Proven track record architecting and delivering complex systems with high reliability and performance requirements
API Design
Experience designing and implementing RESTful APIs and GraphQL endpoints for external developer consumption
Database Management
Proficiency with both SQL and NoSQL databases, including optimization for high-throughput scenarios
Cloud Platforms
Experience with AWS, GCP, or Azure cloud services and infrastructure management
Microservices Architecture
Understanding of microservices patterns, service mesh, and container orchestration
Education
Bachelor's Degree
Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
Advanced Degree Preferred
Master's degree in Computer Science or related field is a plus but not required
Experience
Senior Software Engineering
Minimum 7+ years of professional software engineering experience in backend systems development
Ads Systems Experience
Bonus: Previous experience in advertising systems, marketplaces, or other monetization-heavy domains
0→1 Product Development
Experience building products from scratch in ambiguous, fast-paced environments
Cross-functional Collaboration
Strong track record working effectively with Product, Design, and Research teams
Skills
Required
Backend Development
Proficiency in backend programming languages like Python, Go, or Java for building scalable services
System Design
Strong understanding of distributed systems, microservices architecture, and scalability patterns
Database Technologies
Experience with relational and NoSQL databases, including PostgreSQL, Redis, and analytics databases
API Development
Expertise in designing and implementing RESTful APIs, GraphQL, and developer-facing tools
Cloud Infrastructure
Hands-on experience with cloud platforms (AWS/GCP) and container orchestration (Kubernetes)
Problem Solving
Strong analytical and problem-solving skills for complex technical challenges
Preferred
Advertising Systems
Nice to havePrevious experience with ad serving, auction systems, or programmatic advertising platforms
Machine Learning Integration
Nice to haveUnderstanding of ML model serving and integration patterns in production systems
Privacy Engineering
Nice to haveKnowledge of privacy-preserving technologies and GDPR/CCPA compliance requirements
Performance Optimization
Nice to haveExperience with high-performance computing and low-latency system optimization
Data Pipeline Engineering
Nice to haveExperience building ETL pipelines and real-time data processing systems
Security Best Practices
Nice to haveKnowledge of security frameworks, authentication systems, and secure coding practices
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 230,000 – 385,000
Equity·Stock options
Benefits
Equity Compensation
Stock options and equity participation in OpenAI's growth and success
Relocation Assistance
Comprehensive relocation support for candidates moving to San Francisco or Seattle
Health Insurance
Premium medical, dental, and vision coverage for employees and dependents
Professional Development
Learning and development budget for conferences, courses, and skill advancement
Flexible PTO
Generous paid time off policy with flexible scheduling
Parental Leave
Extended parental leave for new parents
Mental Health Benefits
Mental health support and wellness programs
Commuter Benefits
Transportation and commuting assistance for office-based work
Equipment Stipend
High-end laptop, monitor, and home office setup allowance
Food and Catering
Daily meals and snacks provided at San Francisco and Seattle offices
Process
Interview steps.
- 01
Initial Screening
30-minute phone/video call with recruiter to discuss background, role fit, and compensation expectations
- 02
Technical Phone Screen
60-minute coding interview focusing on algorithms, data structures, and system design fundamentals
- 03
System Design Interview
90-minute deep-dive into distributed systems architecture, scalability, and real-world problem solving
- 04
Coding Deep Dive
2-hour technical interview with live coding exercises and architectural discussions
- 05
Cross-functional Collaboration
45-minute behavioral interview with Product/Design team members focusing on collaboration and communication
- 06
Leadership and Values
60-minute interview with engineering leadership discussing technical vision, career growth, and OpenAI values
- 07
Final Round Decision
Team debrief and decision-making process, followed by offer discussion and negotiation
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 monetization and ads systems at OpenAI. This is a foundational role responsible for designing and implementing the infrastructure, APIs, and user-facing experiences that will power OpenAI’s next-generation monetization products—including ads.
You’ll work across the full technical stack to architect, build, and ship 0→1 systems that are robust, safe, and scalable. You will collaborate deeply with Product, Design, and Research to define the future of monetized AI experiences and ensure these systems meet OpenAI’s highest standards for safety, privacy, and policy alignment.
This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees.
In this role, you will:
Design, build, and scale the core infrastructure behind OpenAI’s monetization and ads products
Develop advertiser-facing APIs and tools that enable the creation, management, and measurement of ads
Build integrations with external partners and help create enterprise-grade monetization products
Architect distributed systems and services that operate at massive scale with strong reliability, usability, privacy, and performance guarantees
Work closely with Product, Research, and Design to translate product requirements into high-quality technical solutions
Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment
Contribute to technical strategy, propose new directions, and help shape the roadmap for monetization and ads platforms
Maintain high engineering rigor through strong testing, documentation, and operational best practices
Uphold the highest levels of safety, privacy, fairness, and policy compliance across all monetization systems
Help continuously refine engineering processes, culture, and best practices within a fast-moving, multidisciplinary team
You might thrive in this role if you:
Have 7+ years of experience building high-scale consumer, enterprise, or ads-related systems
Have a track record of architecting and delivering complex distributed systems with high reliability and performance requirements
Are comfortable navigating ambiguous product spaces and contributing to technical roadmaps and long-term direction
Bring strong product intuition and enjoy collaborating deeply with Product, Design, and Research
Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch
Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability
Are motivated by building privacy-preserving, safe, and user-first monetization systems
Bonus: Have experience in ads systems, marketplaces, or other monetization-heavy domains
Location
This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
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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