RevenueBase:

• We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.

• We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.

• We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.

• We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools.

Why We're Hiring This Role:

• Our product and platform are scaling rapidly, and we need experienced backend engineers who can ship reliably, own services end-to-end, and maintain high performance as our data infrastructure grows.

• This role exists to strengthen our backend systems, APIs, and cloud infrastructure — ensuring our platform remains fast, scalable, and dependable under increasing data volume and customer demand.

• You’ll work on systems that customers rely on in production — where backend performance, data integrity, and reliability directly impact retention and growth.

What You'll Do

• Design, build, and maintain scalable backend services using Python and FastAPI.

• Develop and optimize high-performance RESTful APIs powering AI agents and GTM workflows.

• Architect and maintain cloud-native infrastructure (compute, storage, networking).

• Build reliable data pipelines and services that process, validate, and serve large B2B datasets.

• Ensure system scalability, observability, and fault tolerance.

• Own backend features end-to-end — from design and implementation to deployment and monitoring.

• Collaborate closely with frontend and data engineers to ensure clean API contracts and reliable data flow.

• Contribute to architectural decisions, code reviews, and engineering best practices.

• Continuously improve performance, security, and maintainability across backend systems.

Who You Are