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
- 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 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
- build, maintain, and secure a platform used by more than 8,500+ client organizations
- enhance the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication
- build robust, data-rich systems that simplify complex compensation processes at scale
- design generalized platform solutions that solve cross-product challenges
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-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind
- hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays
- The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P2: $141,100 - $190,900 P3: $166,600 - $225,400 P4: $195,500 - $264,500
