Software Engineer, Monetization Infrastructure (SF/Seattle)

Backend Engineer · Senior · Full Time

San FranciscoUSD 230k – 385k7mo ago
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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 have

    Experience building advertising platforms, real-time bidding, or ad serving systems

  • AI/ML Infrastructure

    Nice to have

    Background in machine learning infrastructure and model serving platforms

  • High-Frequency Systems

    Nice to have

    Experience with low-latency, high-throughput financial or trading systems

  • Privacy Engineering

    Nice to have

    Knowledge of privacy-preserving technologies and compliance frameworks

  • Marketplace Development

    Nice to have

    Experience building two-sided marketplaces or monetization platforms

  • Security Engineering

    Nice to have

    Understanding of security best practices and threat modeling

  • Performance Optimization

    Nice to have

    Expertise in system performance tuning and scalability optimization

Tech stack

Languages

GoPythonRustJava

Frameworks

gRPCProtocol BuffersApache KafkaSpring Boot

Databases

PostgreSQLRedisApache CassandraClickHouse

Tools

KubernetesDockerTerraformPrometheusGrafanaDatadog

Other

AWSApache AirflowIstioGitHub Actions

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.

  1. 01

    Initial Screening

    Phone or video call with recruiter to discuss background, role fit, and compensation expectations

  2. 02

    Technical Phone Screen

    45-60 minute technical interview covering system design concepts and coding fundamentals

  3. 03

    System Design Interview

    Deep-dive system design session focused on distributed systems architecture and scalability

  4. 04

    Coding Interview

    Live coding session emphasizing backend development, algorithms, and problem-solving approach

  5. 05

    Cross-functional Interview

    Behavioral interview with Product or Research team members assessing collaboration skills

  6. 06

    Final Round Interview

    On-site or virtual panel with senior engineers and hiring manager covering technical depth and cultural fit

  7. 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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