Software Engineer, Monetization Product & Platform (SF/Seattle)

Backend Engineer · Senior · Full Time

San FranciscoUSD 230k – 385k6mo ago
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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 have

    Previous experience with ad serving, auction systems, or programmatic advertising platforms

  • Machine Learning Integration

    Nice to have

    Understanding of ML model serving and integration patterns in production systems

  • Privacy Engineering

    Nice to have

    Knowledge of privacy-preserving technologies and GDPR/CCPA compliance requirements

  • Performance Optimization

    Nice to have

    Experience with high-performance computing and low-latency system optimization

  • Data Pipeline Engineering

    Nice to have

    Experience building ETL pipelines and real-time data processing systems

  • Security Best Practices

    Nice to have

    Knowledge of security frameworks, authentication systems, and secure coding practices

Tech stack

Languages

PythonGoTypeScript/JavaScriptSQL

Frameworks

FastAPIDjango/FlaskReactgRPC

Databases

PostgreSQLRedisElasticsearchClickHouse

Tools

KubernetesDockerAWS/GCPTerraformPrometheus/GrafanaGitHub Actions

Other

Apache KafkaOpenAPI/SwaggerJWTOAuth 2.0

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.

  1. 01

    Initial Screening

    30-minute phone/video call with recruiter to discuss background, role fit, and compensation expectations

  2. 02

    Technical Phone Screen

    60-minute coding interview focusing on algorithms, data structures, and system design fundamentals

  3. 03

    System Design Interview

    90-minute deep-dive into distributed systems architecture, scalability, and real-world problem solving

  4. 04

    Coding Deep Dive

    2-hour technical interview with live coding exercises and architectural discussions

  5. 05

    Cross-functional Collaboration

    45-minute behavioral interview with Product/Design team members focusing on collaboration and communication

  6. 06

    Leadership and Values

    60-minute interview with engineering leadership discussing technical vision, career growth, and OpenAI values

  7. 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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