Staff Full-Stack Engineer — Monetization & Checkout

Openai

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking an experienced Staff+ full-stack engineer to shape purchasing experiences and monetization across company products. You’ll own architecture and hands-on development, spanning frontend, APIs, and backend services in a hybrid SF role.

Collaborate with Product, Design, Growth, and Data Science to identify opportunities, set experiments, and drive results. The role emphasizes ownership, scalability, and impactful product outcomes.

Qualifications

  • Experience building sophisticated web applications and backend APIs.
  • Proven track record delivering customer-facing products.

Responsibilities

  • Architect and build purchasing experiences end to end, from frontend interactions through product APIs and backend integrations.
  • Improve checkout conversion, performance, and reliability through experimentation and analytics.
  • Develop shared checkout components and monetization capabilities for new products, pricing models, offers, and channels.
  • Partner with Product, Design, Growth, and Data Science to identify opportunities, define experiments, and measure results.
  • Lead initiatives from exploration through implementation, rollout, and operation.
  • Shape frontend and product API architecture for maintainability and reuse across products.
  • Collaborate across teams to turn complex requirements into simple customer experiences.
  • Provide technical leadership through hands-on development, design reviews, and mentorship.
  • Experience in e-commerce, subscriptions, or monetization is valuable.

Job description

United States Digital Space LLC is seeking an experienced Staff+ full-stack engineer to shape purchasing experiences and monetization across company products. You’ll own architecture and hands-on development, spanning frontend, APIs, and backend services in a hybrid SF role.

Collaborate with Product, Design, Growth, and Data Science to identify opportunities, set experiments, and drive results. The role emphasizes ownership, scalability, and impactful product outcomes.

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