Staff Full-Stack Engineer — Monetization & Checkout

United States Digital Space LLC; United States; Hybrid; USD 180,000 - 240,000; Full time

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.