Pave is building the industry's leading compensation platform to provide companies with unparalleled confidence in their compensation decisions by perfecting the art and science of pay using real-time compensation data and AI/ML.
Requirements
- 5+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
- Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling
- ML/AI platform experience a plus
Responsibilities
- build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence
- own critical services like user authentication and authorization
- own the foundational data infrastructure and models powering Pave’s compensation intelligence platform
- design, experiment, and build great software in partnership with our pre-sales and post-sales teams, and our clients
- building robust, data-rich systems that simplify complex compensation processes at scale
- design generalized platform solutions that solve cross-product challenges
- drive large, complex initiatives across the organization
Other
- Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
- Experience leading large technical projects with high ambiguity and numerous stakeholders
- Execution-oriented. You thrive in fast-paced environments and bias toward action
- hybrid model, bringing teams together in-person on Mondays, Tuesdays, and Fridays
- unlimited PTO policy
