
Software Engineer (Billing & Monetization)
EasyMile
Toulouse, France · Full-time · Robotics Software & Infrastructure
We are looking for a skilled and passionate Software Engineer to join our Billing & Monetization Team in the New York City office.
Apply on EasyMile’s careers page- Company
- EasyMile
- Location
- Toulouse, France
- Type
- Full-time
- Specialism
- Robotics Software & Infrastructure
- Salary
- $160K–$200K
- Posted
- 25 September 2026
About the role
• We are looking for a skilled and passionate Software Engineer to join our Billing & Monetization Team in the New York City office. Working in a bootstrapped and profitable scaleup, you’ll build the systems that power how our agentic AI products are metered, priced, and billed, turning AI usage into reliable, transparent revenue for a fast-growing, category-defining company • Design, build, and operate the credit, metering, and billing systems that power monetization across our agentic AI products, from real-time usage tracking and credit consumption to invoicing and revenue reporting • Write high-quality, well-tested Python that runs reliably in production, where financial correctness, accuracy, and auditability matter • Build and scale services that meter AI and agent usage in real time, enforce credit limits and entitlements, and integrate with pricing, payments, and financial systems • Model and evolve data in Postgres and MongoDB, making sound choices about schema, consistency, and performance for billing-critical workloads • Ship and run services across our Azure and GCP environments, with an eye to observability, security, and cost • Use AI-assisted coding tools and agentic coding harnesses as a core part of how you work, to move faster, raise quality, and take on harder problems • Work with the agentic tools and models that power our products, and help ensure their usage is metered and attributed correctly for billing • Partner closely with Product, Finance, and other Engineering teams to turn pricing and packaging decisions into robust technical implementation • Take ownership of features end to end, from design through deployment, monitoring, and iteration • Contribute to a culture of experimentation, learning, documentation, and operational excellence