Principal Software Engineer, Money Infrastructure

This is a Principal Product Engineering role focused on Money Infrastructure at Replit. You’ll work on the financial backbone that powers how Replit earns money, how builders earn money, and how Agents transact.

This role sits at the intersection of engineering, product, and the business. The systems you build directly impact revenue, trust, and some of the most critical user journeys on the platform. Getting them right enables growth, experimentation, and global scale. Getting them wrong creates broken payments, confusing pricing, and lost trust.

We’re looking for engineers who can design and scale reliable financial systems while translating complex monetary logic into intuitive, user-friendly experiences for both Replit customers and builders on the platform. We love folks who have a passion for monetizing innovation and being a part of the greater pricing story.

You will:

• Lead the design, architecture, and implementation of Replit’s core money infrastructure, spanning pricing, billing, payments, and monetization.
• Own and scale the global order-to-cash foundation supporting credit-based subscriptions, usage-based billing, marketplaces, in-app payments, and commerce for Agents.
• Enable rapid pricing and packaging experimentation across the company by building flexible abstractions and APIs for new SKUs, plans, and monetization models.
• Build high-converting, localized payment experiences across geographies — thinking globally while enabling users to pay locally.
• Power builder monetization by creating payment rails for apps, Agents, subscriptions, and new monetization primitives.
• Partner closely on data specifications with finance, accounting, and data teams to produce accurate, auditable, and reliable financial data.
• Collaborate with external monetization and payments partners (e.g. billing platforms, payment processors) to accelerate execution.
• Create monitoring, observability, and feedback systems to proactively detect issues, resolve failures, and optimize performance across financial flows.