We’re building the data infrastructure that makes AI agents trustworthy instead of error-prone.
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We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
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We’ve tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
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We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools.
Why We’re Hiring This Role:
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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.
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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.
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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
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Design, build, and maintain scalable backend services using Python and FastAPI.
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Develop and optimize high-performance RESTful APIs powering AI agents and GTM workflows.
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Architect and maintain cloud-native infrastructure (compute, storage, networking).
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Build reliable data pipelines and services that process, validate, and serve large B2B datasets.
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Ensure system scalability, observability, and fault tolerance.
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Own backend features end-to-end — from design and implementation to deployment and monitoring.
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Collaborate closely with frontend and data engineers to ensure clean API contracts and reliable data flow.
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Contribute to architectural decisions, code reviews, and engineering best practices.
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Continuously improve performance, security, and maintainability across backend systems.
Who You Are
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4+ years of professional backend development experience.
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Strong proficiency in Python.
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Hands-on experience with:
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FastAPI
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RESTful API design and implementation
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Relational databases (PostgreSQL or similar) and NoSQL Databases (DynamoDB or similar)
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Asynchronous programming
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Cloud platforms (AWS, GCP, or Azure)
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Experience with containerization and deployment (Docker).
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Solid understanding of distributed systems concepts (caching, queues, background jobs).
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Comfortable designing scalable systems and optimizing for performance.
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Familiar with authentication, authorization, and API security best practices.
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Experience working in a fast-moving, remote-first environment.
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You take ownership, communicate clearly, and ship production-quality systems.
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You care about performance, reliability, and long-term maintainability.
Why RevenueBase:
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Product with real traction: Customers rely on our platform in production.
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High ownership: Small team where your work directly shapes the product.
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Engineering-driven culture: Quality and correctness matter.
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Growth stage company: Clear product-market fit and momentum.
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Impact over process: Less bureaucracy, more building.
What We Offer:
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Competitive compensation based on experience.
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Meaningful ownership and long-term growth opportunities.
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Flexible working hours.
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Fully remote-friendly team.
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Direct collaboration with founders and core engineering leadership.