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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.

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.

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.