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 AI and machine learning.
Requirements
- 2+ years of full-time backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
- Strong computer science fundamentals and familiarity with modern design patterns
- Experience with data infrastructure, pipelines/ETLs, and data modeling
- exposure to ML/AI workflows is 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 robust, data-rich systems that simplify complex compensation processes at scale.
- enhance the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication.
Other
- Execution-oriented. You thrive in fast-paced environments and bias toward action
- Growth mindset. Eager to learn new technologies and problem domains
- The targeted cash compensation for this position is (level depends on experience and performance in the interview process): $140,000 - $196,000
- hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships
- Career advancement drives everything—roles expand, responsibilities deepen, and compensation rises alongside your professional growth.
