Full Stack Staff+ Software Engineer, Consumer Monetization

We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products.

You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products.

You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent.

This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes.

This role is based in San Francisco, with three days per week in the office.

In this role, you will:

Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them.

Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights.

Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels.

Partner with Product, Design, Growth, and Data Science to identify opportunities, define experiments, and evaluate results.

Lead initiatives from early exploration and prototyping through implementation, rollout, and ongoing operation.

Shape frontend and product API architecture, balancing immediate delivery with maintainability and reuse across products.

Work across engineering teams and business functions to turn complex requirements into simple, effective customer experiences.

Provide technical leadership through hands-on development, design reviews, and mentorship.

You might thrive in this role if you:

Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams.

Have strong experience building sophisticated web applications and the backend APIs that power them.

Have repeatedly taken customer-facing products from ambiguous ideas through production and ongoing iteration.

Understand how frontend performance, latency, interaction design, and API architecture affect customer experience and business outcomes.

Combine strong product instincts with experience using experimentation and A/B testing to decide what to build and measure its impact.

Make pragmatic tradeoffs between shipping quickly and investing in reliable, reusable systems.

Communicate clearly across functions and can move work forward without a fully defined roadmap.

Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership.

Experience in e-commerce, growth, checkout, subscriptions, offers, or monetization is particularly valuable. Direct payments experience is helpful but not required.

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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