Full Stack Staff+ Software Engineer, Consumer Monetization
San Francisco, United States · Hybrid · Full-time
- Posted 2w ago
- From OpenAI’s careers page
- Location
- San Francisco, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Staff
- Department
- Software Development
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About the role
About the Team
Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels.
We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize.
About the Role
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:
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Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them.
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Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights.
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Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels.
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Partner with Product, Design, Growth, and Data Science to identify opportunities, define experiments, and evaluate results.
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Lead initiatives from early exploration and prototyping through implementation, rollout, and ongoing operation.
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Shape frontend and product API architecture, balancing immediate delivery with maintainability and reuse across products.
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Work across engineering teams and business functions to turn complex requirements into simple, effective customer experiences.
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Provide technical leadership through hands-on development, design reviews, and mentorship.
You might thrive in this role if you:
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Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams.
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Have strong experience building sophisticated web applications and the backend APIs that power them.
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Have repeatedly taken customer-facing products from ambiguous ideas through production and ongoing iteration.
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Understand how frontend performance, latency, interaction design, and API architecture affect customer experience and business outcomes.
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Combine strong product instincts with experience using experimentation and A/B testing to decide what to build and measure its impact.
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Make pragmatic tradeoffs between shipping quickly and investing in reliable, reusable systems.
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Communicate clearly across functions and can move work forward without a fully defined roadmap.
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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.
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About OpenAI
AI research and deploymentOpenAI conducts AI research and develops products and platforms for consumers, developers and businesses.
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In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.