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, ideally using modern web technologies such as TypeScript and Node.js (but not required), with at least 2 years building data-intensive applications.
- Strong understanding of secure data architecture: Expert in designing databases, optimizing queries, and processing large datasets efficiently and securely.
- React
- TypeScript
- Node.js
- MySQL
- BigQuery
Responsibilities
- building robust, data-rich systems that simplify complex compensation processes at scale
- designing databases
- optimizing queries
- processing large datasets efficiently and securely
- use customer needs to guide technical decisions
- prioritize fast iteration versus robust architecture
- ship thoughtful solutions without overengineering
Other
- Strong product intuition: You use customer needs to guide technical decisions and know when to prioritize fast iteration versus robust architecture.
- Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions without overengineering.
- Adaptability in ambiguity: You’re comfortable filling in gaps, validating direction through prototypes, and evolving your approach as you learn.
- Collaborative working style: You work well with product managers, designers, and fellow engineers, and care deeply about delivering value to users.
- Nice to have: Experience at B2B SaaS companies, especially during periods of rapid growth or platform expansion.
