Pave is building the industry's leading compensation platform to provide companies with unparalleled confidence in their compensation decisions by combining a large real-time compensation dataset with AI and machine learning.
Requirements
- 5+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
- Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
- 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, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform.
- move between ideation, scoping, and execution in a matter of days while closely iterating with cross-functional partners on requirements.
- build products that make these processes seamless for customers.
- enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication.
- building robust, data-rich systems that simplify complex compensation processes at scale.
Other
- Experience leading large technical projects with high ambiguity and numerous stakeholders
- Execution-oriented. You thrive in fast-paced environments and bias toward action
- The targeted cash compensation for this position is (level depends on experience and performance in the interview process): $195,500 - $264,500
- hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships
- Flexible PTO and the ability to work from anywhere in the world for a month
