Engineering Manager, Monetization Infrastructure

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.

We’re looking for an experienced Engineering Manager to lead a high-performing team that will build the core monetization and ads systems at OpenAI. This is a foundational role responsible for hiring, developing, and leading a world-class engineering team while shaping the technical strategy and execution for one of the company’s most impactful new initiatives.

You’ll own the roadmap for 0→1 monetization infrastructure, to build the most robust, safe, and scalable infra. You will collaborate deeply with product, design, and research to define the future of monetized AI experiences—and ensure these systems uphold OpenAI’s highest standards for safety, privacy, and policy alignment.

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

In this role, you will:

• Build, lead, and develop a diverse, high-performing engineering team working across backend, full-stack, and systems engineering

• Define and own the technical strategy, roadmap, and execution plan for OpenAI’s core monetization and ads systems

• Guide the architecture of distributed systems that operate at massive scale and require high reliability, privacy, and performance

• Collaborate with Product, Research, and Design partners to define product requirements, evaluate tradeoffs, and bring new experiences to market

• Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment

• Ensure your team operates effectively, maintains high engineering rigor, and consistently delivers against ambitious goals

• Coach and mentor engineers to elevate their impact and grow to their full potential

• Build processes and culture that enable fast learning, high trust, and responsible innovation

• Ensure all monetization systems meet the highest standards for safety, privacy, fairness, and policy compliance

You might thrive in this role if you:

• Have 7+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments

• Have 10+ years of experience building, scaling, and operating distributed systems at large scale

• Have a track record of building and scaling critical systems with strong reliability, performance, and safety constraints

• Are skilled at defining technical roadmaps, setting long-term direction, and navigating ambiguous product spaces

• Care deeply about people leadership, coaching, and helping engineers achieve peak performance

• Bring strong product intuition and can work across Product, Design, and Research to shape new user experiences

• Thrive in 0→1 environments where strategy, architecture, and execution all need to be defined from scratch

• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability

• Bonus: Bring experience collaborating in AI/ML, ads systems, marketplaces, or other monetization-heavy 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.

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