Job Overview
At Pave, we’re combining the world’s largest real-time compensation dataset with deep expertise in AI and Machine Learning to reimagine how our clients make compensation decisions. By building the operating system for compensation, we’re perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. The future of pay is real-time & predictive, and Pave has raised $160M in funding to lead the way. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross-functional partners on requirements. We use TypeScript, Node.js, and React, hosted on GCP. The roadmap focuses on enhancing the entire compensation lifecycle to help Total Rewards leaders take charge of their organizations’ largest expense, confidently make decisions, and earn org-wide trust. We’re seeking passionate engineers excited about building robust, data-rich systems that simplify complex compensation processes at scale. Requirements include 1-2 years of backend engineering experience, ideally with TypeScript and Node.js, experience with secure data architecture, product intuition, execution-driven mindset, adaptability, and collaborative working style. Nice to have experience at B2B SaaS companies during rapid growth or platform expansion. The company embraces a hybrid work schedule with in-office presence in San Francisco, NYC, Salt Lake City, and the UK. Benefits include comprehensive medical, dental, vision coverage, flexible PTO, stipends for meals and commuting, education stipend, and robust parental leave.
Job Detail
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