About the role
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
- 4+ years of professional backend development experience.
- Strong proficiency in Python.
- Hands-on experience with:
- FastAPI
- RESTful API design and implementation
- Relational databases (PostgreSQL or similar) and NoSQL Databases (DynamoDB or similar)
- Asynchronous programming
- Cloud platforms (AWS, GCP, or Azure)
- Experience with containerization and deployment (Docker).
- Solid understanding of distributed systems concepts (caching, queues, background jobs).
- Comfortable designing scalable systems and optimizing for performance.
- Familiar with authentication, authorization, and API security best practices.
- Experience working in a fast-moving, remote-first environment.
- You take ownership, communicate clearly, and ship production-quality systems.
- You care about performance, reliability, and long-term maintainability.
Why RevenueBase
- Product with real traction: Customers rely on our platform in production.
- High ownership: Small team where your work directly shapes the product.
- Engineering-driven culture: Quality and correctness matter.
- Growth stage company: Clear product-market fit and momentum.
- Impact over process: Less bureaucracy, more building.
What We Offer
- Competitive compensation based on experience.
- Meaningful ownership and long-term growth opportunities.
- Flexible working hours.
- Fully remote-friendly team.
- Direct collaboration with founders and core engineering leadership.