Staff Software Engineer, Money

Repl.It•Foster City, CA

5d•Hybrid

About The Position

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation. About the role: This is a Product Engineering role specialized in monetization systems, and will lead that space at Replit. It's a direct line to business impact. But it's also critical to get right for our users. These are some of the most critical user journeys to get right. Getting them wrong creates the most frustrating experiences for users. So we're looking for engineers who can build reliable and scalable billing systems and abstractions, while also translating that to an intuitive and friendly user experience.

Requirements

6+ years of engineering experience, with strong skills working on the backend.
Direct working experience in at least one of the following: Subscription platforms Usage-based billing SaaS Taxation Payment platforms Tokenization
Self-directed and comfortable working autonomously in ambiguous environments.
Excellent problem-solving skills with ability to debug complex billing issues and edge cases.
Experience implementing customer-facing billing interfaces that simplify complex pricing structures.

Nice To Haves

Experience working with Orb, Metronome, or Stripe usage based billing.
Experience with coupons, referral programs, or other monetization growth tactics.

Responsibilities

Lead the architecture and implementation of monetization systems at Replit.
Create seamless payment experiences for users for both product-led and sales-led motions.
Build new abstractions and APIs for other engineers at Replit to monetize their new products.
Iterate on pricing and packaging tactics to drive revenue growth. Examples include coupon codes and referral systems.
Create monitoring and feedback systems so that we can proactively spot problems, fix them, and optimize performance.